Self Supervised Learning for Multiple Object Tracking in 3D Point Clouds
Aakash Kumar,Jyoti Kini,Ajmal Mian,Mubarak Shah,Aakash Kumar,Jyoti Kini,Ajmal Mian,Mubarak Shah
Multiple object tracking in 3D point clouds has applications in mobile robots and autonomous driving. This is a challenging problem due to the sparse nature of the point clouds and the added difficulty of annotation in 3D for supervised learning. To overcome these challenges, we propose a neural network architecture that learns effective object features and their affinities in a self supervised fa...
