Junchao Qiao

MonoSample: Synthetic 3D Data Augmentation Method in Monocular 3D Object Detection

In the context of autonomous driving, it is both critical and challenging to locate 3D objects by using a calibrated RGB image. Current methods typically utilize heteroscedastic aleatoric uncertainty loss to regress the depth of objects, thereby reducing the impact of noisy input while also ensuring