activity
20152026
most citedA Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving

320 citations · 963 across the 78 of their papers we have counts for

collaborators
Showing 2019Show all

9 papers · 1 filter

cs.RO2019

Visual Measurement Integrity Monitoring for UAV Localization

Chengyao Li, Steven L. Waslander

Unmanned aerial vehicles (UAVs) have increasingly been adopted for safety, security, and rescue missions, for which they need precise and reliable pose estimates relative to their…

cs.MA2019

TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data

Braden Hurl, Robin Cohen, Krzysztof Czarnecki +1

Inter-vehicle communication for autonomous vehicles (AVs) stands to provide significant benefits in terms of perception robustness. We propose a novel approach for AVs to communica…

cs.RO2019★ 5 cited

3D traffic flow model for UAVs

Mirmojtaba Gharibi, Raouf Boutaba, Steven L. Waslander

In this work, we introduce a microscopic traffic flow model called Scalar Capacity Model (SCM) which can be used to study the formation of traffic on an airway link for autonomous…

cs.CV2019

Object-Centric Stereo Matching for 3D Object Detection

Alex D. Pon, Jason Ku, Chengyao Li +1

Safe autonomous driving requires reliable 3D object detection-determining the 6 DoF pose and dimensions of objects of interest. Using stereo cameras to solve this task is a cost-ef…

cs.CV2019

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…

cs.RO2019

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…