Papers
1
Total Citations
20
H-Index
1
About
Baptiste Brun is a researcher in robotics and computer vision, with a focus on autonomous indoor navigation and landmark extraction. His work addresses the challenge of enabling robots to navigate unfamiliar environments without prior knowledge, particularly in corridor settings. His most-cited paper, "Simple monocular door detection and tracking" (2013), with 20 citations, introduces a practical method for using monocular cameras to detect and track doors as reliable landmarks for robot localization. This contribution is notable for its simplicity and effectiveness in real-world scenarios, offering a low-cost solution for indoor navigation. Brun’s research bridges the gap between theoretical computer vision and applied robotics, providing foundational techniques for autonomous systems. His work is particularly valuable for students and researchers interested in robot perception, visual SLAM, and human-robot interaction, demonstrating how minimal sensor input can achieve robust navigation in structured environments.
Research Focus
Key Achievements
Top Papers
- 1Simple monocular door detection and tracking20 citations · 2013