2 papers
cs.RO2026
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…
cs.RO2026
TEACar: An Open-Source Autonomous Driving Platform
Zhongzheng Zhang, Maxwell Ruyle, Andrew Kappes +5
Intelligent Transportation Systems (ITS) increasingly rely on vision-based perception and learning-based control, necessitating experimental platforms that support realistic hardwa…