Steven L. Waslander

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University of Waterloo

BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors

One of the challenging aspects of incorporating deep neural networks int...
03/09/2019 ∙ by Ali Harakeh, et al. ∙ 28 ∙ share

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Object-Centric Stereo Matching for 3D Object Detection

Safe autonomous driving requires reliable 3D object detection-determinin...
09/17/2019 ∙ by Alex D. Pon, et al. ∙ 10 ∙ share

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Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings

Automatic mapping of buildings from remote sensing imagery is currently ...
07/25/2018 ∙ by Qi Chen, et al. ∙ 6 ∙ share

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A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection

Traffic light and sign detectors on autonomous cars are integral for roa...
06/20/2018 ∙ by Alex D. Pon, et al. ∙ 4 ∙ share

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Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation

Accurately estimating the orientation of pedestrians is an important and...
07/15/2019 ∙ by Jason Ku, et al. ∙ 1 ∙ share

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Degenerate Motions in Multicamera Cluster SLAM with Non-overlapping Fields of View

An analysis of the relative motion and point feature model configuration...
06/25/2015 ∙ by Michael J. Tribou, et al. ∙ 0 ∙ share

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In Defense of Classical Image Processing: Fast Depth Completion on the CPU

With the rise of data driven deep neural networks as a realization of un...
01/31/2018 ∙ by Jason Ku, et al. ∙ 0 ∙ share

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Manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++

Computer vision and robotics problems often require representation and e...
05/04/2018 ∙ by Leonid Koppel, et al. ∙ 0 ∙ share

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Multi-Step Prediction of Dynamic Systems with Recurrent Neural Networks

Recurrent Neural Networks (RNNs) can encode rich dynamics which makes th...
05/20/2018 ∙ by Nima Mohajerin, et al. ∙ 0 ∙ share

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Encoderless Gimbal Calibration of Dynamic Multi-Camera Clusters

Dynamic Camera Clusters (DCCs) are multi-camera systems where one or mor...
07/24/2018 ∙ by Christopher L. Choi, et al. ∙ 0 ∙ share

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Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation

Training 3D object detectors for autonomous driving has been limited to ...
07/16/2018 ∙ by Jungwook Lee, et al. ∙ 0 ∙ share

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Visual SLAM with Network Uncertainty Informed Feature Selection

In order to facilitate long-term localization using a visual simultaneou...
11/29/2018 ∙ by Pranav Ganti, et al. ∙ 0 ∙ share

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Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction

We present MonoPSR, a monocular 3D object detection method that leverage...
04/02/2019 ∙ by Jason Ku, et al. ∙ 0 ∙ share

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aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge

The University of Toronto is one of eight teams competing in the SAE Aut...
05/21/2019 ∙ by Keenan Burnett, et al. ∙ 0 ∙ share

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Visual Measurement Integrity Monitoring for UAV Localization

Unmanned aerial vehicles (UAVs) have increasingly been adopted for safet...
09/18/2019 ∙ by Chengyao Li, et al. ∙ 0 ∙ share

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3D traffic flow model for UAVs

In this work, we introduce a microscopic traffic flow model called Scala...
09/11/2019 ∙ by Mirmojtaba Gharibi, et al. ∙ 0 ∙ share

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Vehicle Scheduling Problem

We define a new problem called the Vehicle Scheduling Problem (VSP). The...
01/25/2020 ∙ by Mirmojtaba Gharibi, et al. ∙ 0 ∙ share

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Steven L. Waslander

Featured Co-authors

Lei Wang

Angela P. Schoellig

Yifan Wu

Qi Chen

Timothy D. Barfoot

Jason Ku

Ali Harakeh

Raouf Boutaba

Alex D. Pon

Guangming Wu

Zhiling Guo

BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors

Object-Centric Stereo Matching for 3D Object Detection

Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings

A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection

Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation

Degenerate Motions in Multicamera Cluster SLAM with Non-overlapping Fields of View

In Defense of Classical Image Processing: Fast Depth Completion on the CPU

Manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++

Multi-Step Prediction of Dynamic Systems with Recurrent Neural Networks

Encoderless Gimbal Calibration of Dynamic Multi-Camera Clusters

Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation

Visual SLAM with Network Uncertainty Informed Feature Selection

Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction

aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge

Visual Measurement Integrity Monitoring for UAV Localization

3D traffic flow model for UAVs

Vehicle Scheduling Problem