197 citations · 349 across the 52 of their papers we have counts for
4 papers · 1 filter
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving
Hsu-kuang Chiu, Jie Li, Rares Ambrus +1
Multi-object tracking is an important ability for an autonomous vehicle to safely navigate a traffic scene. Current state-of-the-art follows the tracking-by-detection paradigm wher…
Driving Through Ghosts: Behavioral Cloning with False Positives
Andreas Bühler, Adrien Gaidon, Andrei Cramariuc +3
Safe autonomous driving requires robust detection of other traffic participants. However, robust does not mean perfect, and safe systems typically minimize missed detections at the…
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
Igor Vasiljevic, Vitor Guizilini, Rares Ambrus +4
Self-supervised learning has emerged as a powerful tool for depth and ego-motion estimation, leading to state-of-the-art results on benchmark datasets. However, one significant lim…
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
Vitor Guizilini, Rui Hou, Jie Li +2
Self-supervised learning is showing great promise for monocular depth estimation, using geometry as the only source of supervision. Depth networks are indeed capable of learning re…