2 citations · 2 across the 4 of their papers we have counts for
5 papers
Queryable 3D Scene Representation: A Multi-Modal Framework for Semantic Reasoning and Robotic Task Planning
Xun Li, Rodrigo Santa Cruz, Mingze Xi +9
To enable robots to comprehend high-level human instructions and perform complex tasks, a key challenge lies in achieving comprehensive scene understanding: interpreting and intera…
LBurst: Learning-Based Robotic Burst Feature Extraction for 3D Reconstruction in Low Light
Ahalya Ravendran, Mitch Bryson, Donald G. Dansereau
Drones have revolutionized the fields of aerial imaging, mapping, and disaster recovery. However, the deployment of drones in low-light conditions is constrained by the image quali…
BuFF: Burst Feature Finder for Light-Constrained 3D Reconstruction
Ahalya Ravendran, Mitch Bryson, Donald G. Dansereau
Robots operating at night using conventional vision cameras face significant challenges in reconstruction due to noise-limited images. Previous work has demonstrated that burst-ima…
Burst Imaging for Light-Constrained Structure-From-Motion
Ahalya Ravendran, Mitch Bryson, Donald G. Dansereau
Images captured under extremely low light conditions are noise-limited, which can cause existing robotic vision algorithms to fail. In this paper we develop an image processing tec…
Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras
S. Tejaswi Digumarti, Joseph Daniel, Ahalya Ravendran +1
While an exciting diversity of new imaging devices is emerging that could dramatically improve robotic perception, the challenges of calibrating and interpreting these cameras have…