Uncertainty Quantification of Collaborative Detection for Self-Driving

Sanbao Su,Yiming Li,Sihong He,Songyang Han,Chen Feng,Caiwen Ding,Fei Miao,Sanbao Su,Yiming Li,Sihong He,Songyang Han,Chen Feng,Caiwen Ding,Fei Miao

Sharing information between connected and autonomous vehicles (CAVs) fundamentally improves the performance of collaborative object detection for self-driving. However, CAVs still have uncertainties on object detection due to practical challenges, which will affect the later modules in self-driving such as planning and control. Hence, uncertainty quantification is crucial for safety-critical syste...