Causal Analysis

Exploring causal chains in autonomous driving accident scenarios.

A silver Volkswagen SUV with noticeable front-end damage parked on a city street. The vehicle's front bumper and headlight are significantly dented and scratched. There are small debris pieces scattered around the tires, suggesting a recent collision. Surrounding the car are other parked vehicles and a building with a closed store featuring a 'For Sale' sign.

A silver Volkswagen SUV with noticeable front-end damage parked on a city street. The vehicle's front bumper and headlight are significantly dented and scratched. There are small debris pieces scattered around the tires, suggesting a recent collision. Surrounding the car are other parked vehicles and a building with a closed store featuring a 'For Sale' sign.

Data Collection

We gather multi-source accident data for comprehensive analysis and validation.

The image depicts the interior of a moving vehicle, showing the dashboard with a navigation screen displaying a map. A person wearing a blue jacket is holding the steering wheel. Outside the car, a rural road lined with trees is visible, suggesting a drive through a wooded area.

The image depicts the interior of a moving vehicle, showing the dashboard with a navigation screen displaying a map. A person wearing a blue jacket is holding the steering wheel. Outside the car, a rural road lined with trees is visible, suggesting a drive through a wooded area.

Node Identification

Utilizing AI to identify key nodes in accident causal chains effectively.

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A silver Mercedes-Benz car is driving on an empty road with clear lane markings. The landscape features hills and sparse vegetation typical of a rural or semi-desert area. The sky is overcast, suggesting an approaching or passing storm.

A silver Mercedes-Benz car is driving on an empty road with clear lane markings. The landscape features hills and sparse vegetation typical of a rural or semi-desert area. The sky is overcast, suggesting an approaching or passing storm.

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