Shuohan Huang — accepted AI-conference papers

2025

SOTIF-Oriented Risk Assessment: A Multi-Dimensional Model for Autonomous Driving

Botao Yao, Shuohan Huang, Peiyi Han, Jie Lin, Shaoming Duan, Chuanyi Liu

RA-L 2025

Risk assessment is crucial for quantifying driving environment risks and reducing the Safety of the Intended Functionality (SOTIF) uncertainty in Autonomous Vehicles (AVs). Traditional methods, however, often concentrate on single-scenario metrics and are insufficient in capturing the complexities o

Cited by 3 Source ↗Scholar ↗

2025

Uncertainty-Aware Probabilistic Risk Quantification of SOTIF for Autonomous Vehicles

Botao Yao, Shuohan Huang, Chuanyi Liu, Peiyi Han, Jie Lin, Shaoming Duan

ICRA 2025

Ensuring the Safety of the Intended Functionality (SOTIF) for autonomous vehicles (AVs) is critical. Effective risk assessment helps AVs make decisions and avoid risks. However, existing methods face challenges due to environmental uncertainties, insufficient multi-dimensional risk quantification, a

Cited by 0 Source ↗code ↗Scholar ↗