black and white bed linen

Transforming Autonomous Driving Accident Analysis

Clarifying causal chains for safer autonomous driving solutions.

Causal Chain Analysis

We specialize in identifying and analyzing causal chains in autonomous driving accidents to enhance safety and accountability.

A turquoise autonomous vehicle with multiple sensors is parked on an urban street. It is surrounded by trees and modern buildings, with visible license plates and sleek design details.
A turquoise autonomous vehicle with multiple sensors is parked on an urban street. It is surrounded by trees and modern buildings, with visible license plates and sleek design details.

Data Collection

Gather and preprocess multi-source accident data for comprehensive analysis and model construction.

A traffic accident at an intersection involves a damaged gray car with a crumpled front. Police vehicles and officers are present, possibly investigating the scene. A person is walking across the intersection holding a drink. Nearby, a gas station can be seen with trees and residential buildings in the background.
A traffic accident at an intersection involves a damaged gray car with a crumpled front. Police vehicles and officers are present, possibly investigating the scene. A person is walking across the intersection holding a drink. Nearby, a gas station can be seen with trees and residential buildings in the background.
A white autonomous vehicle branded with Waymo is parked on a street next to a large, beige building with arched windows. The sky is clear and blue, and streetlights are visible in the background.
A white autonomous vehicle branded with Waymo is parked on a street next to a large, beige building with arched windows. The sky is clear and blue, and streetlights are visible in the background.

Data Collection

Collecting and preprocessing multi-source accident data effectively.

A white sedan with noticeable front-end damage is parked on a street next to some green foliage. In the background, a white van is parked further down the road. The setting appears to be residential, with trees and buildings lining the street.
A white sedan with noticeable front-end damage is parked on a street next to some green foliage. In the background, a white van is parked further down the road. The setting appears to be residential, with trees and buildings lining the street.

Node Identification

Identifying key nodes in the accident causal chain.

ClarifyResponsibilityBoundaries:Throughthecausalchainanalysismodel,clarify

theresponsibilityboundariesbetweenthesystemandhumansinautonomousdriving

accidents,enhancingsocialtrust.

PromoteResponsibleTechnologyApplication:Provideabasisforresponsibility

allocationintheapplicationofautonomousdrivingtechnology,promotingits

responsibledevelopment.

Cross-ScenarioApplicability:Throughmulti-scenariocasevalidation,ensurethe

applicabilityandoperabilityofthemodelindifferentenvironments.

LegalandSocialImpact:Promotetheresearchresultstothelegalandsocialfields,

enhancingattentionandabilitytoaddressresponsibilityissuesinautonomousdriving

accidents.

InterdisciplinaryCollaboration:PromoteinterdisciplinarycollaborationbetweenAI

technology,law,transportation,andotherfields,drivingthedeepintegrationof

technologyandsociety.

Analysis

Causal chain analysis for autonomous driving accidents.

© 2025. All rights reserved.