2 citations · 2 across the 4 of their papers we have counts for
4 papers
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation
Jason Ku, Alex D. Pon, Sean Walsh +1
Accurately estimating the orientation of pedestrians is an important and challenging task for autonomous driving because this information is essential for tracking and predicting p…
aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge
Keenan Burnett, Sepehr Samavi, Steven L. Waslander +2
The University of Toronto is one of eight teams competing in the SAE AutoDrive Challenge -- a competition to develop a self-driving car by 2020. After placing first at the Year 1 c…
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception
Braden Hurl, Krzysztof Czarnecki, Steven Waslander
We introduce the Precise Synthetic Image and LiDAR (PreSIL) dataset for autonomous vehicle perception. Grand Theft Auto V (GTA V), a commercial video game, has a large detailed wor…
Degenerate Motions in Multicamera Cluster SLAM with Non-overlapping Fields of View
Michael J. Tribou, David W. L. Wang, Steven L. Waslander
An analysis of the relative motion and point feature model configurations leading to solution degeneracy is presented, for the case of a Simultaneous Localization and Mapping syste…