2 citations · 3 across the 6 of their papers we have counts for
6 papers
Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception
Eric C. Joyce, Qianwen Zhao, Nathaniel Burgdorfer +2
Deep object pose estimators are notoriously overconfident. A grasping agent that both estimates the 6-DoF pose of a target object and predicts the uncertainty of its own estimate c…
Stereo-NEC: Enhancing Stereo Visual-Inertial SLAM Initialization with Normal Epipolar Constraints
Weihan Wang, Chieh Chou, Ganesh Sevagamoorthy +7
We propose an accurate and robust initialization approach for stereo visual-inertial SLAM systems. Unlike the current state-of-the-art method, which heavily relies on the accuracy…
V-FUSE: Volumetric Depth Map Fusion with Long-Range Constraints
Nathaniel Burgdorfer, Philippos Mordohai
We introduce a learning-based depth map fusion framework that accepts a set of depth and confidence maps generated by a Multi-View Stereo (MVS) algorithm as input and improves them…
EDI: ESKF-based Disjoint Initialization for Visual-Inertial SLAM Systems
Weihan Wang, Jiani Li, Yuhang Ming +1
Visual-inertial initialization can be classified into joint and disjoint approaches. Joint approaches tackle both the visual and the inertial parameters together by aligning observ…
Real-Time Dense 3D Mapping of Underwater Environments
Weihan Wang, Bharat Joshi, Nathaniel Burgdorfer +4
This paper addresses real-time dense 3D reconstruction for a resource-constrained Autonomous Underwater Vehicle (AUV). Underwater vision-guided operations are among the most challe…
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation
Liyan Chen, Weihan Wang, Philippos Mordohai
We present a new loss function for joint disparity and uncertainty estimation in deep stereo matching. Our work is motivated by the need for precise uncertainty estimates and the o…