3 papers
cs.CV2025
MonoTher-Depth: Enhancing Thermal Depth Estimation via Confidence-Aware Distillation
Xingxing Zuo, Nikhil Ranganathan, Connor Lee +2
Monocular depth estimation (MDE) from thermal images is a crucial technology for robotic systems operating in challenging conditions such as fog, smoke, and low light. The limited…
cs.CV2024
Vision-Based Detection of Uncooperative Targets and Components on Small Satellites
Hannah Grauer, Elena-Sorina Lupu, Connor Lee +5
Space debris and inactive satellites pose a threat to the safety and integrity of operational spacecraft and motivate the need for space situational awareness techniques. These unc…
cs.CV2024
Caltech Aerial RGB-Thermal Dataset in the Wild
Connor Lee, Matthew Anderson, Nikhil Raganathan +4
We present the first publicly-available RGB-thermal dataset designed for aerial robotics operating in natural environments. Our dataset captures a variety of terrain across the Uni…