2020
Inferring Spatial Uncertainty in Object Detection
IROS 2020poster
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 annotat…