Complex accident, clear responsibility
–arXiv.org Artificial Intelligence
The problem of allocating accident responsibility for autonomous driving is a difficult issue in the field of autonomous driving. Due to the complexity of autonomous driving technology, most of the research on the responsibility of autonomous driving accidents has remained at the theoretical level. When encountering actual autonomous driving accidents, a proven and fair solution is needed. To address this problem, this study proposes a multi-subject responsibility allocation optimization method based on the RCModel (Risk Chain Model), which analyzes the responsibility of each actor from a technical perspective and promotes a more reasonable and fair allocation of responsibility.
arXiv.org Artificial Intelligence
Jun-21-2023
- Country:
- North America > United States
- Arizona > Maricopa County
- Tempe (0.04)
- California > Los Angeles County
- Los Angeles (0.04)
- Arizona > Maricopa County
- North America > United States
- Genre:
- Research Report (0.50)
- Industry:
- Automobiles & Trucks (1.00)
- Information Technology > Robotics & Automation (1.00)
- Transportation > Ground
- Road (1.00)
- Technology: