Ludovic Krundel

Papers

Total Citations

H-Index

About

Ludovic Krundel is a robotics researcher whose work focuses on autonomous navigation and perception in indoor environments. His most cited contribution, "Kinect depth image based door detection for autonomous indoor navigation" (2014, 12 citations), addresses a critical challenge in mobile robotics: reliable door and corner detection using depth sensors. By leveraging Kinect depth imagery, Krundel developed algorithms that enable robots to identify structural features essential for path planning and safe patrolling in complex indoor settings. This work is particularly valuable for service robots and autonomous systems operating in human-centric spaces, where accurate environmental understanding is key to navigation. While his citation count reflects the specialized nature of his research, Krundel’s contributions have practical implications for improving robot autonomy in real-world indoor scenarios. His work sits at the intersection of computer vision, sensor fusion, and robotics, offering foundational techniques for door detection that support broader advances in indoor navigation and spatial reasoning.