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Bench2Drive-VL-base

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Bench2Drive-VL-base / AccidentTwoWays_Town12_Route1453_Weather12 /00235.json
Mossforest
initial commit
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{
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 {
 "Q": "What are the important objects in the scene? List them from most to least important.",
 "A": "The dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>), the gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>).",
 "C": null,
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 "object_tags": [
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 "<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>"
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 {
 "Q": "Where on the road is the gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) located?",
 "A": "The gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) is on the same road driving in the opposite direction. It is one lane to the left of the ego vehicle.",
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 "object_tags": [
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 },
 {
 "Q": "Where on the road is the dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>) located?",
 "A": "The dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>) is on the same road driving on the lane of the ego vehicle.",
 "C": null,
 "qid": 20,
 "con_up": [
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 ],
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 "object_tags": [
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 },
 {
 "Q": "What are the important vehicles in the scene and where on the road are they located? List them from most to least important.",
 "A": "The gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>), which is on the same road driving in the opposite direction. It is one lane to the left of the ego vehicle. The dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>), which is on the same road driving on the lane of the ego vehicle.",
 "C": null,
 "qid": 26,
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 ],
 "cluster": 4,
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 "object_tags": [
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 "<c26982<CAM_FRONT,628.4,511.6>>"
 ]
 },
 {
 "Q": "The list of important vehicles in the current scene is 'the gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>), the dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>).' Where on the road are they located?",
 "A": "The gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) is on the same road driving in the opposite direction. It is one lane to the left of the ego vehicle. The dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>) is on the same road driving on the lane of the ego vehicle.",
 "C": null,
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 0
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 "layer": 1,
 "object_tags": [
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 "<c26982<CAM_FRONT,628.4,511.6>>"
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 {
 "Q": "Is the ego vehicle at a junction?",
 "A": "No, the ego vehicle is not at a junction.",
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 "con_down": -1,
 "cluster": 3,
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 "object_tags": []
 },
 {
 "Q": "How many lanes are there in the same direction as the ego car?",
 "A": "There is one lane in the same direction.",
 "C": null,
 "qid": 34,
 "con_up": [
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 [
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 [
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 [
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 6
 ],
 [
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 7
 ],
 [
 4,
 0
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 ],
 "con_down": [
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 ],
 "cluster": 3,
 "layer": 2,
 "object_tags": []
 },
 {
 "Q": "How many lanes are there in the opposite direction to the ego car?",
 "A": "There is one lane in the opposite direction.",
 "C": null,
 "qid": 34,
 "con_up": [
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 1
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 [
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 3
 ],
 [
 3,
 4
 ],
 [
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 5
 ],
 [
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 6
 ],
 [
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 ],
 [
 4,
 0
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 ],
 "con_down": [
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 0
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 ],
 "cluster": 3,
 "layer": 2,
 "object_tags": []
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 {
 "Q": "On which lane is the ego vehicle (left most lane of the lanes going in the same direction is indicated with 0)?",
 "A": "The ego vehicle is on lane 0.",
 "C": null,
 "qid": 33,
 "con_up": [
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 1
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 [
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 4
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 [
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 [
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 6
 ],
 [
 4,
 0
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 ],
 "con_down": [
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 ],
 "cluster": 3,
 "layer": 3,
 "object_tags": []
 },
 {
 "Q": "What lane marking is on the left side of the ego car?",
 "A": "The lane marking on the left side of the ego car is a yellow solid lane.",
 "C": null,
 "qid": 32,
 "con_up": [
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 ],
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 6
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 ],
 "con_down": [
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 [
 3,
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 ],
 "cluster": 3,
 "layer": 4,
 "object_tags": []
 },
 {
 "Q": "What lane marking is on the right side of the ego car?",
 "A": "The lane marking on the right side of the ego car is a white solid lane.",
 "C": null,
 "qid": 32,
 "con_up": [
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 ],
 "con_down": [
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 [
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 ],
 "cluster": 3,
 "layer": 4,
 "object_tags": []
 },
 {
 "Q": "Describe the current lane's direction.",
 "A": "The current lane is going straight.",
 "C": null,
 "qid": 44,
 "con_up": -1,
 "con_down": -1,
 "cluster": 3,
 "layer": 6,
 "object_tags": []
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 {
 "Q": "Is the ego vehicle affected by a traffic light?",
 "A": "No, the ego vehicle is not affected by a traffic light.",
 "C": null,
 "qid": 5,
 "con_up": [
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 2,
 1
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 ],
 "con_down": [
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 ],
 "cluster": 2,
 "layer": 0,
 "object_tags": []
 },
 {
 "Q": "How many pedestrians are there?",
 "A": "There are no pedestrians.",
 "C": null,
 "qid": 1,
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 0
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 ],
 "con_down": -1,
 "cluster": 5,
 "layer": 0,
 "object_tags": []
 },
 {
 "Q": "What is current time and weather?",
 "A": "It is noon, foggy.",
 "C": null,
 "qid": 37,
 "con_up": -1,
 "con_down": -1,
 "cluster": 3,
 "layer": 1,
 "object_tags": []
 },
 {
 "Q": "Is there an obstacle on the current road?",
 "A": "No, there is no obstacle on the current route.",
 "C": null,
 "qid": 11,
 "con_up": [
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 3,
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 ],
 "con_down": -1,
 "cluster": 3,
 "layer": 9,
 "object_tags": []
 },
 {
 "Q": "What is the current speed limit?",
 "A": "There's no speed limit now.",
 "C": null,
 "qid": 7,
 "con_up": [
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 ],
 "con_down": [
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 ],
 "cluster": 3,
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 ],
 "prediction": [
 {
 "Q": "Where is the gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) going?",
 "A": "The gray car(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) is going straight.",
 "C": null,
 "qid": 17,
 "con_up": [
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 ],
 "con_down": [
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 0
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 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>"
 ]
 },
 {
 "Q": "What is the moving status of the gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>)?",
 "A": "The gray car(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) is driving at a normal speed in the opposite direction of the ego vehicle.",
 "C": null,
 "qid": 16,
 "con_up": [
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 "con_down": [
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 "cluster": 4,
 "layer": 2,
 "object_tags": [
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 ]
 },
 {
 "Q": "Where is the dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>) going?",
 "A": "The dark blue car(<c26982<CAM_FRONT,628.4,511.6>>) is going straight.",
 "C": null,
 "qid": 17,
 "con_up": [
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 4,
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 ],
 "con_down": [
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 0
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 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
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 ]
 },
 {
 "Q": "What is the moving status of the dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>)?",
 "A": "The dark blue car(<c26982<CAM_FRONT,628.4,511.6>>) is driving slowly in the same direction of the ego vehicle.",
 "C": null,
 "qid": 16,
 "con_up": [
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 "con_down": [
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 ],
 "cluster": 4,
 "layer": 2,
 "object_tags": [
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 },
 {
 "Q": "What is the rough moving speed and moving direction of gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>)?",
 "A": "The gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) is driving at a normal speed in the opposite direction of the ego vehicle, going straight.",
 "C": null,
 "qid": 21,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>"
 ]
 },
 {
 "Q": "What is the exact moving speed and moving direction of gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>)?",
 "A": "The gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) is driving at the speed of 8.1 m/s, going straight.",
 "C": null,
 "qid": 22,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>"
 ]
 },
 {
 "Q": "What is the rough moving speed and moving direction of dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>)?",
 "A": "The dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>) is driving slowly in the same direction of the ego vehicle, going straight.",
 "C": null,
 "qid": 21,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26982<CAM_FRONT,628.4,511.6>>"
 ]
 },
 {
 "Q": "What is the exact moving speed and moving direction of dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>)?",
 "A": "The dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>) is driving at the speed of 3.9 m/s, going straight.",
 "C": null,
 "qid": 22,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26982<CAM_FRONT,628.4,511.6>>"
 ]
 },
 {
 "Q": "The list of important vehicles in the current scene is 'the gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>), the dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>).' What are the rough moving speed and moving direction of them?",
 "A": "The gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) is driving at a normal speed in the opposite direction of the ego vehicle, going straight. The dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>) is driving slowly in the same direction of the ego vehicle, going straight.",
 "C": null,
 "qid": 24,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>",
 "<c26982<CAM_FRONT,628.4,511.6>>"
 ]
 },
 {
 "Q": "The list of important vehicles in the current scene is 'the gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>), the dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>).' What are the exact moving speed and moving direction of them?",
 "A": "The gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) is driving at the speed of 8.1 m/s, going straight. The dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>) is driving at the speed of 3.9 m/s, going straight.",
 "C": null,
 "qid": 25,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>",
 "<c26982<CAM_FRONT,628.4,511.6>>"
 ]
 },
 {
 "Q": "The ego vehicle wants to follow the road. Apart from its lane, which lanes are important to watch out for?",
 "A": "The ego vehicle should watch out for traffic in its lane and coming from the oncoming lane and for the parking lane.",
 "C": null,
 "qid": 36,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 3,
 0
 ],
 [
 3,
 2
 ],
 [
 3,
 3
 ]
 ],
 "cluster": 3,
 "layer": 1,
 "object_tags": []
 },
 {
 "Q": "In which direction is the ego car allowed to change lanes?",
 "A": "The ego vehicle can not change lanes since it is on a one lane road. But it could change to the parking lane on the right side of the road.",
 "C": null,
 "qid": 31,
 "con_up": [
 [
 6,
 0
 ]
 ],
 "con_down": [
 [
 3,
 2
 ],
 [
 3,
 3
 ],
 [
 3,
 4
 ]
 ],
 "cluster": 3,
 "layer": 5,
 "object_tags": []
 },
 {
 "Q": "From which side are other vehicles allowed to change lanes into the ego lane?",
 "A": "There are no lane changes possible since the ego vehicle is on a one lane road. But vehicles that are parked on the right side of the road are allowed to change lanes into the ego lane.",
 "C": null,
 "qid": 30,
 "con_up": [
 [
 6,
 0
 ]
 ],
 "con_down": [
 [
 3,
 2
 ],
 [
 3,
 3
 ],
 [
 3,
 4
 ],
 [
 3,
 5
 ]
 ],
 "cluster": 3,
 "layer": 6,
 "object_tags": []
 },
 {
 "Q": "Is the ego vehicle affected by a stop sign?",
 "A": "No, the ego vehicle is not affected by a stop sign.",
 "C": null,
 "qid": 2,
 "con_up": [
 [
 1,
 1
 ]
 ],
 "con_down": [
 [
 3,
 0
 ]
 ],
 "cluster": 1,
 "layer": 0,
 "object_tags": []
 },
 {
 "Q": "Is the ego vehicle affected by a speed limit sign?",
 "A": "No, the ego vehicle is not affected by a speed limit sign.",
 "C": null,
 "qid": 3,
 "con_up": [
 [
 1,
 1
 ]
 ],
 "con_down": [
 [
 3,
 0
 ]
 ],
 "cluster": 1,
 "layer": 0,
 "object_tags": []
 },
 {
 "Q": "List the traffic signs affecting the ego vehicle in the current scenario.",
 "A": "There's no traffic sign affecting the ego vehicle.",
 "C": null,
 "qid": 4,
 "con_up": [
 [
 1,
 1
 ]
 ],
 "con_down": [
 [
 3,
 0
 ]
 ],
 "cluster": 1,
 "layer": 0,
 "object_tags": []
 },
 {
 "Q": "What is the state of the traffic light?",
 "A": "There is no traffic light affecting the ego vehicle.",
 "C": null,
 "qid": 6,
 "con_up": [
 [
 2,
 2
 ]
 ],
 "con_down": [
 [
 2,
 0
 ]
 ],
 "cluster": 2,
 "layer": 1,
 "object_tags": []
 },
 {
 "Q": "What is current time and weather? What hazards might it bring?",
 "A": "It is noon, foggy. The fog causes low visibility, which may affect perception results.",
 "C": null,
 "qid": 38,
 "con_up": -1,
 "con_down": -1,
 "cluster": 3,
 "layer": 1,
 "object_tags": []
 },
 {
 "Q": "Apart from vehicles on the road, visible pedestrians and the weather, what other factors in the current scenario could pose potential hazards?",
 "A": "There's no serious potential hazard apart from them.",
 "C": null,
 "qid": 40,
 "con_up": -1,
 "con_down": -1,
 "cluster": 3,
 "layer": 1,
 "object_tags": []
 }
 ],
 "planning": [
 {
 "Q": "The ego vehicle follows the road. Is gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) potentially crossing the path of the ego vehicle? If so, why?",
 "A": "No, the gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) is not crossing paths with the ego vehicle.",
 "C": null,
 "qid": 23,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>"
 ]
 },
 {
 "Q": "The ego vehicle follows the road. Is gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) potentially crossing the path of the ego vehicle? If so, why? And what action can lead to a collision?",
 "A": "No, the gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) is not crossing paths with the ego vehicle.",
 "C": null,
 "qid": 48,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>"
 ]
 },
 {
 "Q": "The ego vehicle follows the road. Is gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) potentially crossing the path of the ego vehicle? If so, what action can lead to a collision?",
 "A": "No, the gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>) is not crossing paths with the ego vehicle.",
 "C": null,
 "qid": 49,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>"
 ]
 },
 {
 "Q": "The ego vehicle follows the road. Is dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>) potentially crossing the path of the ego vehicle? If so, why?",
 "A": "Yes, the dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>) is behind the intersection on the road the ego vehicle will enter, so the ego vehicle should pay attention to not crash into it.",
 "C": null,
 "qid": 23,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26982<CAM_FRONT,628.4,511.6>>"
 ]
 },
 {
 "Q": "The ego vehicle follows the road. Is dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>) potentially crossing the path of the ego vehicle? If so, why? And what action can lead to a collision?",
 "A": "Yes, the dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>) is behind the intersection on the road the ego vehicle will enter, and the collision will happen if the ego vehicle drives too fast without avoiding the potential danger to the front left when getting closer.",
 "C": null,
 "qid": 48,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26982<CAM_FRONT,628.4,511.6>>"
 ]
 },
 {
 "Q": "The ego vehicle follows the road. Is dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>) potentially crossing the path of the ego vehicle? If so, what action can lead to a collision?",
 "A": "Yes, the collision will happen if the ego vehicle drives too fast without avoiding the potential danger to the front left when getting closer.",
 "C": null,
 "qid": 49,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26982<CAM_FRONT,628.4,511.6>>"
 ]
 },
 {
 "Q": "The ego vehicle follows the road. The list of important vehicles in the current scene is 'the gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>), the dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>).' Among them, please identify those that may overlap with the ego vehicle's path and provide reasons for the overlap.",
 "A": "The dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>), because it is behind the intersection on the road the ego vehicle will enter.",
 "C": null,
 "qid": 28,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26982<CAM_FRONT,628.4,511.6>>"
 ]
 },
 {
 "Q": "The ego vehicle follows the road. The list of important vehicles in the current scene is 'the gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>), the dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>).' Among them, please identify those that may overlap with the ego vehicle's path.",
 "A": "The dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>).",
 "C": null,
 "qid": 29,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26982<CAM_FRONT,628.4,511.6>>"
 ]
 },
 {
 "Q": "The ego vehicle follows the road. The list of important vehicles in the current scene is 'the gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>), the dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>).' Among them, identify those that may overlap with the ego vehicle's path and the actions that could lead to a collision.",
 "A": "The dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>), the collision will happen if the ego vehicle drives too fast without avoiding the potential danger to the front left when getting closer.",
 "C": null,
 "qid": 46,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26982<CAM_FRONT,628.4,511.6>>"
 ]
 },
 {
 "Q": "The ego vehicle follows the road. The list of important vehicles in the current scene is 'the gray car that is to the front left of the ego vehicle(<c26989<CAM_FRONT,335.0,548.8><CAM_FRONT_LEFT,1640.0,561.9>>), the dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>).' Among them, identify those that may overlap with the ego vehicle's path, provide reasons for the overlap and the actions that could lead to a collision.",
 "A": "The dark blue car that is to the front left of the ego vehicle(<c26982<CAM_FRONT,628.4,511.6>>), because it is behind the intersection on the road the ego vehicle will enter, and the collision will happen if the ego vehicle drives too fast without avoiding the potential danger to the front left when getting closer.",
 "C": null,
 "qid": 47,
 "con_up": [
 [
 4,
 3
 ]
 ],
 "con_down": [
 [
 4,
 0
 ]
 ],
 "cluster": 4,
 "layer": 1,
 "object_tags": [
 "<c26982<CAM_FRONT,628.4,511.6>>"
 ]
 },
 {
 "Q": "What is current time and weather? What should the ego vehicle do according to them?",
 "A": "It is noon, foggy. The fog causes low visibility, which may affect perception results, please drive cautiously to handle unexpected situations.",
 "C": null,
 "qid": 39,
 "con_up": -1,
 "con_down": -1,
 "cluster": 3,
 "layer": 1,
 "object_tags": []
 },
 {
 "Q": "Apart from vehicles on the road, visible pedestrians and the weather, what other factors in the current scenario could pose potential hazards? What strategies should the ego vehicle adopt to address them?",
 "A": "There's no serious potential hazard apart from them.",
 "C": null,
 "qid": 41,
 "con_up": -1,
 "con_down": -1,
 "cluster": 3,
 "layer": 1,
 "object_tags": []
 },
 {
 "Q": "Does the ego vehicle need to change lanes or deviate from the lane center due to an upcoming obstruction?",
 "A": "No, the ego vehicle can stay on its current lane.",
 "C": null,
 "qid": 10,
 "con_up": [
 [
 6,
 0
 ]
 ],
 "con_down": [
 [
 3,
 9
 ]
 ],
 "cluster": 3,
 "layer": 8,
 "object_tags": []
 },
 {
 "Q": "Does the ego vehicle need to change lanes or deviate from the lane for reasons other than the upcoming obstruction? Why?",
 "A": "No, no other reason supports the ego vehicle to change lane.",
 "C": null,
 "qid": 12,
 "con_up": [
 [
 6,
 0
 ]
 ],
 "con_down": [
 [
 3,
 9
 ]
 ],
 "cluster": 3,
 "layer": 8,
 "object_tags": []
 },
 {
 "Q": "Must the ego vehicle change lane or deviate from the lane now? why?",
 "A": "No, the ego vehicle can stay on its current lane.",
 "C": null,
 "qid": 13,
 "con_up": [
 [
 6,
 0
 ]
 ],
 "con_down": [
 [
 1,
 0
 ]
 ],
 "cluster": 1,
 "layer": 1,
 "object_tags": []
 },
 {
 "Q": "What should the ego vehicle do based on the traffic light?",
 "A": "There is no traffic light affecting the ego vehicle.",
 "C": null,
 "qid": 9,
 "con_up": [
 [
 6,
 0
 ]
 ],
 "con_down": [
 [
 2,
 1
 ]
 ],
 "cluster": 2,
 "layer": 2,
 "object_tags": []
 },
 {
 "Q": "Does the ego vehicle need to brake? Why?",
 "A": "The ego vehicle should slow down to adjust its speed to the speed of the dark blue car that is to the front left of it(<c26982<CAM_FRONT,628.4,511.6>>) because it is driving slowly.",
 "C": null,
 "qid": 8,
 "con_up": -1,
 "con_down": [
 [
 1,
 1
 ],
 [
 2,
 2
 ],
 [
 3,
 5
 ],
 [
 3,
 6
 ],
 [
 3,
 7
 ],
 [
 3,
 8
 ],
 [
 4,
 3
 ],
 [
 5,
 0
 ]
 ],
 "cluster": 6,
 "layer": 0,
 "object_tags": [
 "<c26982<CAM_FRONT,628.4,511.6>>"
 ]
 },
 {
 "Q": "Identify all traffic lights and signs affecting the ego vehicle in current scene. Based on these traffic signs, what actions should the ego vehicle take respectively?",
 "A": "There's no traffic light or sign affecting the ego vehicle right now.",
 "C": null,
 "qid": 15,
 "con_up": [
 [
 6,
 0
 ]
 ],
 "con_down": [
 [
 1,
 0
 ]
 ],
 "cluster": 1,
 "layer": 1,
 "object_tags": []
 }
 ],
 "behaviour": [
 {
 "Q": "What is the correct action for the ego vehicle to take now?",
 "A": "The ego vehicle should slow down to adjust its speed to the speed of the dark blue car that is to the front left of it(<c26982<CAM_FRONT,628.4,511.6>>) because it is driving slowly.",
 "C": null,
 "qid": 43,
 "con_up": -1,
 "con_down": -1,
 "cluster": 3,
 "layer": 1,
 "object_tags": []
 },
 {
 "Q": "Provide your planned trajectory for the ego vehicle using waypoints in the ego vehicle's coordinate system. Generate one waypoint every 0.5 seconds. Example output:\n{\n \"0.5s\": [x1, y1],\n \"1.0s\": [x2, y2],\n \"1.5s\": [x3, y3],\n \"2.0s\": [x4, y4],\n \"2.5s\": [x5, y5],\n \"3.0s\": [x6, y6],\n \"3.5s\": [x7, y7],\n \"4.0s\": [x8, y8],\n}",
 "A": "{\"0.5s\": [3.97, -0.61], \"1.0s\": [7.62, -1.18], \"1.5s\": [10.53, -1.62], \"2.0s\": [13.39, -2.02], \"2.5s\": [15.21, -2.27], \"3.0s\": [15.38, -2.29], \"3.5s\": [15.43, -2.29], \"4.0s\": [15.47, -2.3]}",
 "C": null,
 "qid": 42,
 "con_up": -1,
 "con_down": -1,
 "cluster": 3,
 "layer": 1,
 "object_tags": []
 },
 {
 "Q": "Provide the appropriate behavior for the ego vehicle, which consists of two keys: the Direction key, which can be 'FOLLOW_LANE', 'CHANGE_LANE_LEFT', 'CHANGE_LANE_RIGHT', 'GO_STRAIGHT', 'TURN_LEFT', or 'TURN_RIGHT'; and the Speed key, which can be 'KEEP', 'ACCELERATE', 'DECELERATE', or 'STOP'.",
 "A": "FOLLOW_LANE, DECELERATE",
 "C": null,
 "qid": 50,
 "con_up": -1,
 "con_down": -1,
 "cluster": 3,
 "layer": 1,
 "object_tags": []
 }
 ]
 },
 "extra_flags": {
 "ego_speed": 8.023019735687,
 "change_lane_flag": false,
 "change_lane_gt": false,
 "speed_cmd": "DECELERATE",
 "direction_cmd": "FOLLOW_LANE",
 "speed_change_gt": "Decelerate",
 "waiting_for_red_light": false,
 "is_trivial_case": false
 },
 "image_paths": {
 "CAM_FRONT": "./.worker_1_cache/AccidentTwoWays_Town12_Route1453_Weather12/AccidentTwoWays_Town12_Route1453_Weather12/camera/rgb_front/00235.jpg",
 "CAM_FRONT_LEFT": "./.worker_1_cache/AccidentTwoWays_Town12_Route1453_Weather12/AccidentTwoWays_Town12_Route1453_Weather12/camera/rgb_front_left/00235.jpg",
 "CAM_FRONT_RIGHT": "./.worker_1_cache/AccidentTwoWays_Town12_Route1453_Weather12/AccidentTwoWays_Town12_Route1453_Weather12/camera/rgb_front_right/00235.jpg",
 "CAM_BACK": "./.worker_1_cache/AccidentTwoWays_Town12_Route1453_Weather12/AccidentTwoWays_Town12_Route1453_Weather12/camera/rgb_back/00235.jpg",
 "CAM_BACK_LEFT": "./.worker_1_cache/AccidentTwoWays_Town12_Route1453_Weather12/AccidentTwoWays_Town12_Route1453_Weather12/camera/rgb_back_left/00235.jpg",
 "CAM_BACK_RIGHT": "./.worker_1_cache/AccidentTwoWays_Town12_Route1453_Weather12/AccidentTwoWays_Town12_Route1453_Weather12/camera/rgb_back_right/00235.jpg"
 }
}