Estimating the uncertainty of a neural network plays fundamental role in safety-critical settings. In perception for autonomous driving, measuring means providing additional calibrated information to downstream tasks, such as path planning, that can use it towards safe navigation. this work, we propose novel sampling-free estimation method object detection. We call CertainNet, and is first prov...