PurpleSand
commited on
1a95cdce6863ed8b8957d9acf8f0a5d3ece364e163836b4f7355467673126c8e
Browse files- scenarios/e5b560aba70150ee5d44fb708291b423.json +9 -0
- scenarios/e5b560aba70150ee5d44fb708291b423.npy +3 -0
- scenarios/e5c3c2fa1c75d14793e4e591fd8d4c6b.json +9 -0
- scenarios/e5c3c2fa1c75d14793e4e591fd8d4c6b.npy +3 -0
- scenarios/e5d22742e36487a65c6191bfd8d9b866.json +9 -0
- scenarios/e5d22742e36487a65c6191bfd8d9b866.npy +3 -0
- scenarios/e5e0b8d08e810ea15a6183c81a3606cd.json +9 -0
- scenarios/e5e0b8d08e810ea15a6183c81a3606cd.npy +3 -0
- scenarios/e5e39623017c8e417ce6f2764bbdd07f.json +9 -0
- scenarios/e5e39623017c8e417ce6f2764bbdd07f.npy +3 -0
- scenarios/e5ea2d5aec0dca5d18ae479cff0e9996.json +9 -0
- scenarios/e5ea2d5aec0dca5d18ae479cff0e9996.npy +3 -0
- scenarios/e5f0be4b978a0e33acba9442634f7b31.json +9 -0
- scenarios/e5f0be4b978a0e33acba9442634f7b31.npy +3 -0
- scenarios/e5f574f48a36b831bdbe859c6b9a6e9a.json +9 -0
- scenarios/e5f574f48a36b831bdbe859c6b9a6e9a.npy +3 -0
- scenarios/e5f5a6722906d6de6786bb4533f82a43.json +9 -0
- scenarios/e5f5a6722906d6de6786bb4533f82a43.npy +3 -0
- scenarios/e60d589e29dddeccae1210a8b524c3e7.json +9 -0
- scenarios/e60d589e29dddeccae1210a8b524c3e7.npy +3 -0
- scenarios/e60f52acdaef1506f2e29bd4f9587fcf.json +9 -0
- scenarios/e60f52acdaef1506f2e29bd4f9587fcf.npy +3 -0
- scenarios/e611095e3e1cfcbbd018d85f00ce0455.json +9 -0
- scenarios/e611095e3e1cfcbbd018d85f00ce0455.npy +3 -0
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- scenarios/e67700a606ba3be9b7a13489956367e9.json +9 -0
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- scenarios/e680710a89fa8518b6aef01e1b178c81.json +9 -0
- scenarios/e680710a89fa8518b6aef01e1b178c81.npy +3 -0
- scenarios/e680d2f712231a03b81c91b3d2e492d4.json +9 -0
- scenarios/e680d2f712231a03b81c91b3d2e492d4.npy +3 -0
- scenarios/e6823d4764f2d14130e536a7d2ab5722.json +9 -0
- scenarios/e6823d4764f2d14130e536a7d2ab5722.npy +3 -0
- scenarios/e6b54b09c4b0a9f17dce71a38a23f27c.json +9 -0
- scenarios/e6b54b09c4b0a9f17dce71a38a23f27c.npy +3 -0
- scenarios/e6dc9e48f844c93d6839fc1b26e1b597.json +9 -0
- scenarios/e6dc9e48f844c93d6839fc1b26e1b597.npy +3 -0
- scenarios/e6e2e254fc7728e9c601523ac1c36dd6.json +9 -0
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- scenarios/e6f7f248cd341dd3c5ec54e12b5c3355.json +9 -0
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- scenarios/e751c7634a104922861e7fa1c573fe0c.json +9 -0
- scenarios/e751c7634a104922861e7fa1c573fe0c.npy +3 -0
scenarios/e5b560aba70150ee5d44fb708291b423.json
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{
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"semantic_uuid": "sim_orchard/speed_sprayer/precise/3/34",
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"map_name": "sim_orchard",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "4",
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"drive_map_name": "occupancy_map",
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"model_guideline": "You are an outdoor speed-sprayer robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
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}
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scenarios/e5b560aba70150ee5d44fb708291b423.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd4c47777f4b09357d982434238362dd3492cb4b72a43b5bdaadf37e582b05c9
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size 20368
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scenarios/e5c3c2fa1c75d14793e4e591fd8d4c6b.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/12/71",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "13",
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"drive_map_name": "occupancy_map",
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"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
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}
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scenarios/e5c3c2fa1c75d14793e4e591fd8d4c6b.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:804263834f01518aa5b3d13e9ff9bec10ec4ca1f795ecb0dfeb06435b6bb863a
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size 5216
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scenarios/e5d22742e36487a65c6191bfd8d9b866.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/6/4",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "7",
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"drive_map_name": "occupancy_map",
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"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
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}
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scenarios/e5d22742e36487a65c6191bfd8d9b866.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:d4bc222168e5a8718f69a1cb0c71194440c46952345149b89ea9ba3cfa4da40e
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size 6176
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scenarios/e5e0b8d08e810ea15a6183c81a3606cd.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/13/20",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "14",
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"drive_map_name": "occupancy_map",
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"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
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}
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scenarios/e5e0b8d08e810ea15a6183c81a3606cd.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:33d076e06ec6f82326f5d2c247b1df0655fb8b0becb5fa54aaccbf5f9800e799
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size 3712
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scenarios/e5e39623017c8e417ce6f2764bbdd07f.json
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{
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"semantic_uuid": "sim_street_sidewalk/food_delivery/precise/0/10",
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"map_name": "sim_street_sidewalk",
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"sketch_map_name": "orthographic_map",
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"start": "(random)",
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"end": "1",
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"drive_map_name": "occupancy_map",
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"model_guideline": "You are an outdoor last mile delivery robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed.\n5. You must drive on the sidewalk.\n a. If you need to cross the road, you must use the crosswalk."
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}
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scenarios/e5e39623017c8e417ce6f2764bbdd07f.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:712e3492c92e0b63ed28fee13fa194555048d5dbd5c37d9cb715c6046d7b23f5
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size 27424
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scenarios/e5ea2d5aec0dca5d18ae479cff0e9996.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/misleading/14/33",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "15",
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"drive_map_name": "occupancy_map",
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"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
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}
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scenarios/e5ea2d5aec0dca5d18ae479cff0e9996.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:1ea368c2f840b30fc266a94ca3a4e85af0e6b0cba84d617800d2b915be367005
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size 5088
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scenarios/e5f0be4b978a0e33acba9442634f7b31.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/9/30",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "10",
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"drive_map_name": "occupancy_map",
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"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
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}
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scenarios/e5f0be4b978a0e33acba9442634f7b31.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:952f773fed0831c6d3eccf4aa3660a0a55c4d89d3dc7a20caf033618d5d16c3e
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size 12432
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scenarios/e5f574f48a36b831bdbe859c6b9a6e9a.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/18/23",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "19",
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"drive_map_name": "occupancy_map",
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"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
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}
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scenarios/e5f574f48a36b831bdbe859c6b9a6e9a.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ffd2b62d9fa95d4e59254a9f43ea238d9d2958d2b87a2e49dff9341b888cf7a
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size 20176
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scenarios/e5f5a6722906d6de6786bb4533f82a43.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/6/47",
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"map_name": "sim_office",
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4 |
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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6 |
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"end": "7",
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7 |
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"drive_map_name": "occupancy_map",
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+
"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
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9 |
+
}
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scenarios/e5f5a6722906d6de6786bb4533f82a43.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1f74e99cf303654cb0c0c0657cdc400389cff2d08ab3c3b5de1583f5ecdc600
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size 5408
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scenarios/e60d589e29dddeccae1210a8b524c3e7.json
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{
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"semantic_uuid": "sim_street_road/left_food_delivery/misleading/11/9",
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"map_name": "sim_street_road",
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"sketch_map_name": "orthographic_map",
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"start": "(random)",
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"end": "12",
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"drive_map_name": "occupancy_map",
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"model_guideline": "You are an outdoor self-driving robot taxi.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed.\n5. You must drive on the road.\n a. You should drive according to the left-hand-traffic law.\n6. You should slow down before entering intersections, speed bumps, and crosswalks."
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9 |
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}
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scenarios/e60d589e29dddeccae1210a8b524c3e7.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:600ac59f501c0af86027f173f1d219e8d3b17aec7dd924d2c3df3e64b9d3048e
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size 25392
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scenarios/e60f52acdaef1506f2e29bd4f9587fcf.json
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{
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"semantic_uuid": "sim_street_road/left_food_delivery/precise/5/3",
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"map_name": "sim_street_road",
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4 |
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"sketch_map_name": "orthographic_map",
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"start": "(random)",
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6 |
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"end": "6",
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7 |
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"drive_map_name": "occupancy_map",
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8 |
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"model_guideline": "You are an outdoor self-driving robot taxi.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed.\n5. You must drive on the road.\n a. You should drive according to the left-hand-traffic law.\n6. You should slow down before entering intersections, speed bumps, and crosswalks."
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9 |
+
}
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scenarios/e60f52acdaef1506f2e29bd4f9587fcf.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:86169f62c55f7fd55d87d9c3e0f9e6293111d1af1c6dbf07e4aeb8076464c96e
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size 32800
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scenarios/e611095e3e1cfcbbd018d85f00ce0455.json
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{
|
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|
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"map_name": "sim_orchard",
|
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
|
6 |
+
"end": "5",
|
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+
"drive_map_name": "occupancy_map",
|
8 |
+
"model_guideline": "You are an outdoor speed-sprayer robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
|
9 |
+
}
|
scenarios/e611095e3e1cfcbbd018d85f00ce0455.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
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size 109088
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scenarios/e6188419dc7262bc55eb1c60a94b80e2.json
ADDED
@@ -0,0 +1,9 @@
|
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|
1 |
+
{
|
2 |
+
"semantic_uuid": "sim_office/coffee_delivery/precise/4/55",
|
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"map_name": "sim_office",
|
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+
"sketch_map_name": "annotated_occupancy_map",
|
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+
"start": "(random)",
|
6 |
+
"end": "5",
|
7 |
+
"drive_map_name": "occupancy_map",
|
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+
"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
|
9 |
+
}
|
scenarios/e6188419dc7262bc55eb1c60a94b80e2.npy
ADDED
@@ -0,0 +1,3 @@
|
|
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|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 5488
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scenarios/e662223a63ce574f6f0636b3e745c44c.json
ADDED
@@ -0,0 +1,9 @@
|
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|
1 |
+
{
|
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"semantic_uuid": "sim_office/coffee_delivery/precise/5/56",
|
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"map_name": "sim_office",
|
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"sketch_map_name": "annotated_occupancy_map",
|
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"start": "(random)",
|
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"end": "6",
|
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"drive_map_name": "occupancy_map",
|
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+
"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
|
9 |
+
}
|
scenarios/e662223a63ce574f6f0636b3e745c44c.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:6f46f978cc2f07e3450c039f2effad032d3f60e081c8fbe4bddae5cc4803a0bf
|
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size 7840
|
scenarios/e67700a606ba3be9b7a13489956367e9.json
ADDED
@@ -0,0 +1,9 @@
|
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|
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|
1 |
+
{
|
2 |
+
"semantic_uuid": "sim_street_sidewalk/food_delivery/precise/14/11",
|
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+
"map_name": "sim_street_sidewalk",
|
4 |
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"sketch_map_name": "orthographic_map",
|
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"start": "(random)",
|
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"end": "15",
|
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"drive_map_name": "occupancy_map",
|
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+
"model_guideline": "You are an outdoor last mile delivery robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed.\n5. You must drive on the sidewalk.\n a. If you need to cross the road, you must use the crosswalk."
|
9 |
+
}
|
scenarios/e67700a606ba3be9b7a13489956367e9.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:19591e26e3f69dfd1fbb790392bc2223d8f2bc5e7704ae2c9545895e85ca4b12
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size 14192
|
scenarios/e680710a89fa8518b6aef01e1b178c81.json
ADDED
@@ -0,0 +1,9 @@
|
|
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|
|
|
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|
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|
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|
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|
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|
1 |
+
{
|
2 |
+
"semantic_uuid": "sim_street_road/right_food_delivery/precise/13/1",
|
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"map_name": "sim_street_road",
|
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"sketch_map_name": "orthographic_map",
|
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"start": "(random)",
|
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+
"end": "14",
|
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+
"drive_map_name": "occupancy_map",
|
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+
"model_guideline": "You are an outdoor self-driving robot taxi.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed.\n5. You must drive on the road.\n a. You should drive according to the right-hand-traffic law.\n6. You should slow down before entering intersections, speed bumps, and crosswalks."
|
9 |
+
}
|
scenarios/e680710a89fa8518b6aef01e1b178c81.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:35a61612e7eaf4cbe973d1e43d1f7a166ba9a7e7b7a7294616d652a25e1bd5d1
|
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size 50560
|
scenarios/e680d2f712231a03b81c91b3d2e492d4.json
ADDED
@@ -0,0 +1,9 @@
|
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|
1 |
+
{
|
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"semantic_uuid": "sim_office/coffee_delivery/misleading/10/4",
|
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"map_name": "sim_office",
|
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"sketch_map_name": "annotated_occupancy_map",
|
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+
"start": "(random)",
|
6 |
+
"end": "11",
|
7 |
+
"drive_map_name": "occupancy_map",
|
8 |
+
"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
|
9 |
+
}
|
scenarios/e680d2f712231a03b81c91b3d2e492d4.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:581913d744242ed52efee79ebdeb08fe2c6f6f3aac2b00f46da4346d9efab8b6
|
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size 8912
|
scenarios/e6823d4764f2d14130e536a7d2ab5722.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
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|
|
|
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|
1 |
+
{
|
2 |
+
"semantic_uuid": "sim_office/coffee_delivery/precise/4/74",
|
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"map_name": "sim_office",
|
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+
"sketch_map_name": "annotated_occupancy_map",
|
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+
"start": "(random)",
|
6 |
+
"end": "5",
|
7 |
+
"drive_map_name": "occupancy_map",
|
8 |
+
"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
|
9 |
+
}
|
scenarios/e6823d4764f2d14130e536a7d2ab5722.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:b12f16bd31e5f631f6d406e7e4e588860231a968077fb81e4c07a6644c03e2b8
|
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size 18144
|
scenarios/e6b54b09c4b0a9f17dce71a38a23f27c.json
ADDED
@@ -0,0 +1,9 @@
|
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|
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|
|
|
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|
1 |
+
{
|
2 |
+
"semantic_uuid": "sim_street_sidewalk/food_delivery/misleading/13/14",
|
3 |
+
"map_name": "sim_street_sidewalk",
|
4 |
+
"sketch_map_name": "orthographic_map",
|
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+
"start": "(random)",
|
6 |
+
"end": "14",
|
7 |
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"drive_map_name": "occupancy_map",
|
8 |
+
"model_guideline": "You are an outdoor last mile delivery robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed.\n5. You must drive on the sidewalk.\n a. If you need to cross the road, you must use the crosswalk."
|
9 |
+
}
|
scenarios/e6b54b09c4b0a9f17dce71a38a23f27c.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:c6b46e954605d4d8bdc1f681d0a5f8e6e448dc647be573ea6235d4f0386f3b06
|
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size 21472
|
scenarios/e6dc9e48f844c93d6839fc1b26e1b597.json
ADDED
@@ -0,0 +1,9 @@
|
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|
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1 |
+
{
|
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"semantic_uuid": "sim_office/coffee_delivery/precise/8/60",
|
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"map_name": "sim_office",
|
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+
"sketch_map_name": "annotated_occupancy_map",
|
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"start": "(random)",
|
6 |
+
"end": "9",
|
7 |
+
"drive_map_name": "occupancy_map",
|
8 |
+
"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
|
9 |
+
}
|
scenarios/e6dc9e48f844c93d6839fc1b26e1b597.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:0a6a115ac4d17526aef70f6f1c30835c61805a0fe64cc5e4c5f54753ae25db0a
|
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size 1280
|
scenarios/e6e2e254fc7728e9c601523ac1c36dd6.json
ADDED
@@ -0,0 +1,9 @@
|
|
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|
1 |
+
{
|
2 |
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"semantic_uuid": "sim_office/coffee_delivery/precise/4/53",
|
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"map_name": "sim_office",
|
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"sketch_map_name": "annotated_occupancy_map",
|
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+
"start": "(random)",
|
6 |
+
"end": "5",
|
7 |
+
"drive_map_name": "occupancy_map",
|
8 |
+
"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
|
9 |
+
}
|
scenarios/e6e2e254fc7728e9c601523ac1c36dd6.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:f11ac9664b0ddbfe202e70e6fa7fc2570332a713af31b84d971bd0e5c4c967fc
|
3 |
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size 14608
|
scenarios/e6f7f248cd341dd3c5ec54e12b5c3355.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
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|
1 |
+
{
|
2 |
+
"semantic_uuid": "sim_office/coffee_delivery/precise/2/34",
|
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+
"map_name": "sim_office",
|
4 |
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"sketch_map_name": "annotated_occupancy_map",
|
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"start": "(random)",
|
6 |
+
"end": "3",
|
7 |
+
"drive_map_name": "occupancy_map",
|
8 |
+
"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
|
9 |
+
}
|
scenarios/e6f7f248cd341dd3c5ec54e12b5c3355.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:efb251a06445071cc4dd4e3c1990baa4a9b1a4d1f602c77258eba74bf72ec41e
|
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size 4768
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scenarios/e7269c2e5057bba845e71102c85d64d5.json
ADDED
@@ -0,0 +1,9 @@
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"semantic_uuid": "sim_street_sidewalk/food_delivery/misleading/13/4",
|
3 |
+
"map_name": "sim_street_sidewalk",
|
4 |
+
"sketch_map_name": "orthographic_map",
|
5 |
+
"start": "(random)",
|
6 |
+
"end": "14",
|
7 |
+
"drive_map_name": "occupancy_map",
|
8 |
+
"model_guideline": "You are an outdoor last mile delivery robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed.\n5. You must drive on the sidewalk.\n a. If you need to cross the road, you must use the crosswalk."
|
9 |
+
}
|
scenarios/e7269c2e5057bba845e71102c85d64d5.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:b3db1f68f217ce37f3a11182a9461bccaa27ea9ef64e03c00d5acb19e1c1712d
|
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size 21792
|
scenarios/e730494bca04b6a20d57bdd7bb8e58ab.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
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|
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|
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|
1 |
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{
|
2 |
+
"semantic_uuid": "sim_office/coffee_delivery/precise/13/18",
|
3 |
+
"map_name": "sim_office",
|
4 |
+
"sketch_map_name": "annotated_occupancy_map",
|
5 |
+
"start": "(random)",
|
6 |
+
"end": "14",
|
7 |
+
"drive_map_name": "occupancy_map",
|
8 |
+
"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
|
9 |
+
}
|
scenarios/e730494bca04b6a20d57bdd7bb8e58ab.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:1c35558ce32ea8b26456ee2718c761b5818ac0c69fcd0ed37a4a02ef5bb4821f
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size 12848
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scenarios/e751c7634a104922861e7fa1c573fe0c.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
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|
1 |
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{
|
2 |
+
"semantic_uuid": "sim_office/coffee_delivery/precise/11/9",
|
3 |
+
"map_name": "sim_office",
|
4 |
+
"sketch_map_name": "annotated_occupancy_map",
|
5 |
+
"start": "(random)",
|
6 |
+
"end": "12",
|
7 |
+
"drive_map_name": "occupancy_map",
|
8 |
+
"model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
|
9 |
+
}
|
scenarios/e751c7634a104922861e7fa1c573fe0c.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:1a14ea1037affa1c4253905db87524777f13747611e0dc081dd6aa260593321e
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size 8928
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