Thesis Defense Announcement for Kyler Farrar – 2/28/25
February 6, 2025
Thesis Title: Multi-Modal Sensor Fusion of RADAR and LiDAR for Enhanced Navigation in Obstacle-Occluded Environments
When: February 28th, 2025
Where: Microsoft Teams (Meeting Link)
Candidate: Kyler Farrar
Degree: Master of Science in Electrical & Computer Engineering
Committee Members: Dr. John Ball, Dr. Chaomin Luo, Dr. Anton Netchaev
Abstract:
Multi-sensor fusion is a practical and well-researched methodology to combine a variety of incoming sensory data into an enhanced digital representation of a real-world environment. A typical use-case for multi-sensor fusion is the combination of LiDAR and RADAR data in order to obtain simultaneous 3D positioning and velocity measurements for a particular RoI (Region of Interest). In this study, investigation into the use of LiDAR/RADAR sensor fusion for the purposes of enhanced navigation information is utilized when placed in obstacle-occluded environments such as highly vegetated areas. Specifically an approach is designed and evaluated for use with a LiDAR/RADAR sensor suite to produce a fused cost-map for the purposes of determining optimal and safer navigation solutions.