Inferring Spatial Uncertainty in Object Detection
Zining Wang,Di Feng,Yiyang Zhou,Lars Rosenbaum,Fabian Timm,Klaus Dietmayer,Masayoshi Tomizuka,Wei Zhan,Zining Wang,Di Feng,Yiyang Zhou,Lars Rosenbaum,Fabian Timm,Klaus Dietmayer,Masayoshi Tomizuka,Wei Zhan
The availability of real-world datasets is the prerequisite for developing object detection methods for autonomous driving. While ambiguity exists in object labels due to error-prone annotation process or sensor observation noises, current object detection datasets only provide deterministic annotations without considering their uncertainty. This precludes an in-depth evaluation among different ob...
