PurpleSand
commited on
8c91b9ca902d8af3ceae8321270899760f3056c0863f9069a1c99aa8387309db
Browse files- scenarios/bf957f931c74dea1fc3d3b8ffda3fcbd.json +9 -0
- scenarios/bf957f931c74dea1fc3d3b8ffda3fcbd.npy +3 -0
- scenarios/bfaa2c8114374a466c4c8140b5170cc2.json +9 -0
- scenarios/bfaa2c8114374a466c4c8140b5170cc2.npy +3 -0
- scenarios/bfb11495d1532ffda3d54496bd485930.json +9 -0
- scenarios/bfb11495d1532ffda3d54496bd485930.npy +3 -0
- scenarios/bfc909d74827cf3366c7736f64b9fa86.json +9 -0
- scenarios/bfc909d74827cf3366c7736f64b9fa86.npy +3 -0
- scenarios/bfe151633a160220e9cd5a649fc6b581.json +9 -0
- scenarios/bfe151633a160220e9cd5a649fc6b581.npy +3 -0
- scenarios/bfe6dbffff39960dffd47169ff3fad4e.json +9 -0
- scenarios/bfe6dbffff39960dffd47169ff3fad4e.npy +3 -0
- scenarios/bff179b1e62313a555c7626cdd7d1170.json +9 -0
- scenarios/bff179b1e62313a555c7626cdd7d1170.npy +3 -0
- scenarios/c02c894ddea02333dc304f9953ff2ae4.json +9 -0
- scenarios/c02c894ddea02333dc304f9953ff2ae4.npy +3 -0
- scenarios/c02efcd25b70008702844a2923d2f27d.json +9 -0
- scenarios/c02efcd25b70008702844a2923d2f27d.npy +3 -0
- scenarios/c0335fc38459094e850eef82324bfa56.json +9 -0
- scenarios/c0335fc38459094e850eef82324bfa56.npy +3 -0
- scenarios/c04fd23e8fed2e54cb20bc6f9502354f.json +9 -0
- scenarios/c04fd23e8fed2e54cb20bc6f9502354f.npy +3 -0
- scenarios/c09f5d91e7fa088c7663457f74a88277.json +9 -0
- scenarios/c09f5d91e7fa088c7663457f74a88277.npy +3 -0
- scenarios/c0a6f7717e9504eae18d118457a96906.json +9 -0
- scenarios/c0a6f7717e9504eae18d118457a96906.npy +3 -0
- scenarios/c0c65b7dcb7d86360ae6044aadca056f.json +9 -0
- scenarios/c0c65b7dcb7d86360ae6044aadca056f.npy +3 -0
- scenarios/c0c948fcd2d77295b40b1981e641aa60.json +9 -0
- scenarios/c0c948fcd2d77295b40b1981e641aa60.npy +3 -0
- scenarios/c0ddb0a84698ce84051dacfa3af7e3c1.json +9 -0
- scenarios/c0ddb0a84698ce84051dacfa3af7e3c1.npy +3 -0
- scenarios/c0e48fb7b5c7e483a0d77f7e56b95b00.json +9 -0
- scenarios/c0e48fb7b5c7e483a0d77f7e56b95b00.npy +3 -0
- scenarios/c0e6c8d59026512e8dca287aaf88caeb.json +9 -0
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- scenarios/c0ea14a8d8719e82bffd37f1b4b5b492.json +9 -0
- scenarios/c0ea14a8d8719e82bffd37f1b4b5b492.npy +3 -0
- scenarios/c0f4525cdd5c1655523499eefbe95b6c.json +9 -0
- scenarios/c0f4525cdd5c1655523499eefbe95b6c.npy +3 -0
- scenarios/c137016d2c4cc22eca1910fa724a8572.json +9 -0
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- scenarios/c1385c48d6e334ec74d6a547c4cf2bef.json +9 -0
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- scenarios/c14cb928abfede43ca9e2716bd8ce366.json +9 -0
- scenarios/c14cb928abfede43ca9e2716bd8ce366.npy +3 -0
- scenarios/c1595071628b7c9886dd8135562e1348.json +9 -0
- scenarios/c1595071628b7c9886dd8135562e1348.npy +3 -0
scenarios/bf957f931c74dea1fc3d3b8ffda3fcbd.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/5/3",
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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."
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}
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scenarios/bf957f931c74dea1fc3d3b8ffda3fcbd.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:54ab3472bd1d23709fe28cf6839d5eb1c618d32d73789e66e39f7927224ebc27
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size 16256
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scenarios/bfaa2c8114374a466c4c8140b5170cc2.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/misleading/1/2",
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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": "2",
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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/bfaa2c8114374a466c4c8140b5170cc2.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:202f26d9641e4e622e582e50f99207b5a6dc753f6d032c9bd103464b0f054737
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size 15616
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scenarios/bfb11495d1532ffda3d54496bd485930.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/11/66",
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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": "12",
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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/bfb11495d1532ffda3d54496bd485930.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:a42d7830f2b145011c773bb97b21ce0baa37d0d1cdfa2a64807b2dc6cc76f2ce
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size 6640
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scenarios/bfc909d74827cf3366c7736f64b9fa86.json
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{
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"semantic_uuid": "sim_street_road/left_food_delivery/precise/5/4",
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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": "6",
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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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}
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scenarios/bfc909d74827cf3366c7736f64b9fa86.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:23571226e866fcab1e23ea3136e86dfa03b9495d9ee108a7a4e00dc01073e091
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size 16592
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scenarios/bfe151633a160220e9cd5a649fc6b581.json
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{
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"semantic_uuid": "sim_street_road/left_food_delivery/precise/8/7",
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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": "9",
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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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}
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scenarios/bfe151633a160220e9cd5a649fc6b581.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:6df7e2c4423d6b6096d926dc24ef6e5a1c4451f3c742be7c617c244ff4ab598b
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size 41408
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scenarios/bfe6dbffff39960dffd47169ff3fad4e.json
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{
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"semantic_uuid": "sim_street_sidewalk/food_delivery/misleading/16/3",
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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": "17",
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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/bfe6dbffff39960dffd47169ff3fad4e.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:f487a73b8f8d6bba5f7759b154f19b4dd82b6c1179032e1c47bd7fb9d428f0ff
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size 21808
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scenarios/bff179b1e62313a555c7626cdd7d1170.json
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{
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"semantic_uuid": "sim_street_road/right_food_delivery/precise/16/4",
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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": "17",
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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."
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}
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scenarios/bff179b1e62313a555c7626cdd7d1170.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:49767e2a5367d9a5ad7b5ed24f1713ee18e86c588bdfd15209ec76bf5d11e47d
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size 27536
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scenarios/c02c894ddea02333dc304f9953ff2ae4.json
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{
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"semantic_uuid": "sim_street_sidewalk/food_delivery/precise/0/3",
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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/c02c894ddea02333dc304f9953ff2ae4.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:9eaeb8da54e92d7160fd78bf5dccb9492e19c4d7d45de3d20e5388b583bc9ad9
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size 30256
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scenarios/c02efcd25b70008702844a2923d2f27d.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/13/61",
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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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6 |
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"end": "14",
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"drive_map_name": "occupancy_map",
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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."
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9 |
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}
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scenarios/c02efcd25b70008702844a2923d2f27d.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:681f3795bbccca1d77f12ea8d4a9891f094cbb654fc86ca882d7ef8e4c58202a
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size 6224
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scenarios/c0335fc38459094e850eef82324bfa56.json
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{
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"semantic_uuid": "sim_street_sidewalk/food_delivery/misleading/17/5",
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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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6 |
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"end": "18",
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7 |
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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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9 |
+
}
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scenarios/c0335fc38459094e850eef82324bfa56.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:988c012a1bb446de2cf3e6c1c99964e2289bda1f25853c6912b977816e481612
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size 16208
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scenarios/c04fd23e8fed2e54cb20bc6f9502354f.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/12/21",
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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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6 |
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"end": "13",
|
7 |
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"drive_map_name": "occupancy_map",
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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."
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+
}
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scenarios/c04fd23e8fed2e54cb20bc6f9502354f.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:061685349fc49a0d841af0d75349d933979a3a7eccde9bd790a730ab0159b31e
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size 7600
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scenarios/c09f5d91e7fa088c7663457f74a88277.json
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|
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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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+
}
|
scenarios/c09f5d91e7fa088c7663457f74a88277.npy
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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scenarios/c0a6f7717e9504eae18d118457a96906.json
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@@ -0,0 +1,9 @@
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{
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"start": "(random)",
|
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|
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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 |
+
}
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scenarios/c0a6f7717e9504eae18d118457a96906.npy
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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scenarios/c0c65b7dcb7d86360ae6044aadca056f.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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"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/c0c65b7dcb7d86360ae6044aadca056f.npy
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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size 9232
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scenarios/c0c948fcd2d77295b40b1981e641aa60.json
ADDED
@@ -0,0 +1,9 @@
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|
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{
|
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|
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"map_name": "sim_office",
|
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"start": "(random)",
|
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"end": "17",
|
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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/c0c948fcd2d77295b40b1981e641aa60.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:f97f2fc1ccb785521f244374e3f12bc5e9bf73549225fd3c41d11f63ba50e363
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size 15264
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scenarios/c0ddb0a84698ce84051dacfa3af7e3c1.json
ADDED
@@ -0,0 +1,9 @@
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|
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{
|
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"semantic_uuid": "sim_street_sidewalk/food_delivery/misleading/11/10",
|
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|
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|
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|
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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/c0ddb0a84698ce84051dacfa3af7e3c1.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:8684440f9af593571638aa1d1d4cc12986fe114f3ce3ae67ab9cadc9f49495d3
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size 16560
|
scenarios/c0e48fb7b5c7e483a0d77f7e56b95b00.json
ADDED
@@ -0,0 +1,9 @@
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{
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"start": "(random)",
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|
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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/c0e48fb7b5c7e483a0d77f7e56b95b00.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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oid sha256:af4defa57bfd1f34b9775cc29a66610e10d6dc5ad36aee15f095265e63e5b097
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size 1696
|
scenarios/c0e6c8d59026512e8dca287aaf88caeb.json
ADDED
@@ -0,0 +1,9 @@
|
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{
|
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"start": "(random)",
|
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|
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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/c0e6c8d59026512e8dca287aaf88caeb.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:09fad9c81b121a4d3b1c721fdcfeff4318f10bb55b7b7ae327be1b72178e7971
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size 17744
|
scenarios/c0ea14a8d8719e82bffd37f1b4b5b492.json
ADDED
@@ -0,0 +1,9 @@
|
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{
|
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|
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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 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/c0ea14a8d8719e82bffd37f1b4b5b492.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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oid sha256:7f72c367cf1cccdcc7a69cb5ddb65e288a1c675a07771ed37f94e6209172527f
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size 11952
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scenarios/c0f4525cdd5c1655523499eefbe95b6c.json
ADDED
@@ -0,0 +1,9 @@
|
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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)",
|
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|
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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."
|
9 |
+
}
|
scenarios/c0f4525cdd5c1655523499eefbe95b6c.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:55366fc0fbd9ebbb93834b8499beed15c6606d1efa17413bae8fe1a9877e02bd
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size 38512
|
scenarios/c137016d2c4cc22eca1910fa724a8572.json
ADDED
@@ -0,0 +1,9 @@
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{
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"map_name": "sim_office",
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"start": "(random)",
|
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"end": "10",
|
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."
|
9 |
+
}
|
scenarios/c137016d2c4cc22eca1910fa724a8572.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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size 13936
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scenarios/c1385c48d6e334ec74d6a547c4cf2bef.json
ADDED
@@ -0,0 +1,9 @@
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{
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|
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"map_name": "sim_office",
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"start": "(random)",
|
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+
"end": "8",
|
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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/c1385c48d6e334ec74d6a547c4cf2bef.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
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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 15616
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scenarios/c146850c12d467ced3d86df387b5d7a9.json
ADDED
@@ -0,0 +1,9 @@
|
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{
|
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"semantic_uuid": "sim_office/coffee_delivery/precise/14/17",
|
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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": "15",
|
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."
|
9 |
+
}
|
scenarios/c146850c12d467ced3d86df387b5d7a9.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 10608
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scenarios/c14cb928abfede43ca9e2716bd8ce366.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
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|
1 |
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{
|
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"semantic_uuid": "sim_orchard/speed_sprayer/misleading/0/19",
|
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"map_name": "sim_orchard",
|
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|
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"start": "(random)",
|
6 |
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|
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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."
|
9 |
+
}
|
scenarios/c14cb928abfede43ca9e2716bd8ce366.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
|
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+
version https://git-lfs.github.com/spec/v1
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size 80352
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scenarios/c1595071628b7c9886dd8135562e1348.json
ADDED
@@ -0,0 +1,9 @@
|
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|
1 |
+
{
|
2 |
+
"semantic_uuid": "sim_street_road/right_food_delivery/misleading/14/1",
|
3 |
+
"map_name": "sim_street_road",
|
4 |
+
"sketch_map_name": "orthographic_map",
|
5 |
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"start": "(random)",
|
6 |
+
"end": "15",
|
7 |
+
"drive_map_name": "occupancy_map",
|
8 |
+
"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/c1595071628b7c9886dd8135562e1348.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:d9ed667a80a1e5bf68f0f34f275b0e3074370db4a5b67fa964d6e046844bc321
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