
-
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching
Successful visual navigation depends upon capturing images that contain ...
read it
-
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
Predictive uncertainty estimation is an essential next step for the reli...
read it
-
Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots
Most mobile robots follow a modular sense-planact system architecture th...
read it
-
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation
Accurate and reliable 3D object detection is vital to safe autonomous dr...
read it
-
Vehicle Scheduling Problem
We define a new problem called the Vehicle Scheduling Problem (VSP). The...
read it
-
Visual Measurement Integrity Monitoring for UAV Localization
Unmanned aerial vehicles (UAVs) have increasingly been adopted for safet...
read it
-
Object-Centric Stereo Matching for 3D Object Detection
Safe autonomous driving requires reliable 3D object detection-determinin...
read it
-
3D traffic flow model for UAVs
In this work, we introduce a microscopic traffic flow model called Scala...
read it
-
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation
Accurately estimating the orientation of pedestrians is an important and...
read it
-
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...
read it
-
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction
We present MonoPSR, a monocular 3D object detection method that leverage...
read it
-
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors
One of the challenging aspects of incorporating deep neural networks int...
read it
-
Visual SLAM with Network Uncertainty Informed Feature Selection
In order to facilitate long-term localization using a visual simultaneou...
read it
-
Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings
Automatic mapping of buildings from remote sensing imagery is currently ...
read it
-
Encoderless Gimbal Calibration of Dynamic Multi-Camera Clusters
Dynamic Camera Clusters (DCCs) are multi-camera systems where one or mor...
read it
-
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation
Training 3D object detectors for autonomous driving has been limited to ...
read it
-
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...
read it
-
Multi-Step Prediction of Dynamic Systems with Recurrent Neural Networks
Recurrent Neural Networks (RNNs) can encode rich dynamics which makes th...
read it
-
Manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++
Computer vision and robotics problems often require representation and e...
read it
-
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...
read it
-
Degenerate Motions in Multicamera Cluster SLAM with Non-overlapping Fields of View
An analysis of the relative motion and point feature model configuration...
read it