320 citations · 963 across the 78 of their papers we have counts for
6 papers · 1 filter
Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots
Shatil Rahman, Steven L. Waslander
Most mobile robots follow a modular sense-planact system architecture that can lead to poor performance or even catastrophic failure for visual inertial navigation systems due to t…
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Di Feng, Ali Harakeh, Steven Waslander +1
Capturing uncertainty in object detection is indispensable for safe autonomous driving. In recent years, deep learning has become the de-facto approach for object detection, and ma…
Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors
T. Barfoot, J. Burgner-Kahrs, E. Diller +12
From disinfection and remote triage, to logistics and delivery, countries around the world are making use of robots to address the unique challenges presented by the COVID-19 pande…
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation
Chengyao Li, Jason Ku, Steven L. Waslander
Accurate and reliable 3D object detection is vital to safe autonomous driving. Despite recent developments, the performance gap between stereo-based methods and LiDAR-based methods…
Canadian Adverse Driving Conditions Dataset
Matthew Pitropov, Danson Garcia, Jason Rebello +4
The Canadian Adverse Driving Conditions (CADC) dataset was collected with the Autonomoose autonomous vehicle platform, based on a modified Lincoln MKZ. The dataset, collected durin…
Vehicle Scheduling Problem
Mirmojtaba Gharibi, Steven L. Waslander, Raouf Boutaba
We define a new problem called the Vehicle Scheduling Problem (VSP). The goal is to minimize an objective function, such as the number of tardy vehicles over a transportation netwo…