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Nikhil Ranganathan

3 accepted papers

2026

MonoTher-Depth: Enhancing Thermal Depth Estimation Via Confidence-Aware Distillation

ICRA 2026poster

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 availability of labeled thermal data constrains the generalization capabilities of thermal MDE models compared to founda…

2025

MonoTher-Depth: Enhancing Thermal Depth Estimation via Confidence-Aware Distillation

RA-L 2025

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 availability of labeled thermal data constrains the generalization capabilities of thermal MDE models compared to founda

Cited by 2SourceScholar
2024

Caltech Aerial RGB-Thermal Dataset in the Wild

ECCV 2024poster

"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 United States, including rivers, lakes, coastlines, deserts, and forests, and consists of synchronized RGB, thermal, globa…