Robust Long-Term Visual SLAM Using Thermal Imagery

Thermal imagery can enable robust visual SLAM in challenging environments, but requires overcoming significant challenges in feature extraction and place recognition due to dramatic appearance changes over time. This work presents a SLAM system that leverages learned feature descriptors and a specialized bag-of-words vocabulary to achieve reliable long-term localization and mapping using thermal cameras.