Anomaly-Informed Confidence Calibration for Vision-Based Safety Prediction

Zhenjiang Mao, Jiawen Wu, Gabriel Wagner +2

Reliable confidence estimates are important for safely deploying vision-based controllers in autonomous racing, where safety predictions must be derived from camera images, yet mod…