A Particle based 6-GLMB Filter for MTT with a Single Thermal Camera
In autonomous vehicle systems, imaging sensors play a critical role in environmental perception, particularly under low-visibility conditions. This paper introduces a method for tracking objects using a single thermal camera. By employing a particle based <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\delta$</tex> -GLMB Filter, we achieve accurate tracking of the directional movements of objects. Although constrained to angular only measurements by the use of a single camera, this study represents an initial investigation into the integration of thermal cameras with <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\delta$</tex> -GLMB filtering for object tracking, laying the groundwork for future advances in this area.
Authors
- Leonardo Cament
- Martin Adams (ORCID: https://orcid.org/0000-0002-1085-0506)
- Benjamin Thedy
Institutions
- University of Chile (CL)
Publication Details
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1109/iccais63750.2024.10814580
- Primary Topic
- Infrared Target Detection Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00