Steven L. Waslander

Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching

Successful visual navigation depends upon capturing images that contain ...
02/08/2021 ∙ by Justin Tomasi, et al. ∙ 11 ∙ share

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Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors

Predictive uncertainty estimation is an essential next step for the reli...
01/13/2021 ∙ by Ali Harakeh, et al. ∙ 16 ∙ share

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Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots

Most mobile robots follow a modular sense-planact system architecture th...
12/01/2020 ∙ by Shatil Rahman, et al. ∙ 0 ∙ share

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Confidence Guided Stereo 3D Object Detection with Split Depth Estimation

Accurate and reliable 3D object detection is vital to safe autonomous dr...
03/11/2020 ∙ by Chengyao Li, et al. ∙ 1 ∙ 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Steven L. Waslander

Featured Co-authors

Lei Wang

Jonathan Kelly

Angela P. Schoellig

Qi Chen

Yifan Wu

Timothy D. Barfoot

Ali Harakeh

Jason Ku

Brandon Wagstaff

Raouf Boutaba

Arun Das

Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching

Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors

Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots

Confidence Guided Stereo 3D Object Detection with Split Depth Estimation

Vehicle Scheduling Problem

Visual Measurement Integrity Monitoring for UAV Localization

Object-Centric Stereo Matching for 3D Object Detection

3D traffic flow model for UAVs

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

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

Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction

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

Visual SLAM with Network Uncertainty Informed Feature Selection

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

Encoderless Gimbal Calibration of Dynamic Multi-Camera Clusters

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

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

Multi-Step Prediction of Dynamic Systems with Recurrent Neural Networks

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

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

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