Eric Langin
Papers
1
Total Citations
9
H-Index
1
About
Eric Langin is a researcher at the forefront of mobile mapping and autonomous navigation, with a focus on integrating 3D point cloud generation with real-time localization systems. His most cited work, "Direct Georeferencing 3D Points Cloud Map Based on SLAM and Robot Operating System" (2021, 9 citations), addresses the growing demand for geospatial data in applications like road condition monitoring and autonomous driving. Langin’s key contribution lies in combining Simultaneous Localization and Mapping (SLAM) with direct georeferencing techniques, enabling the creation of accurate, real-time 3D maps without reliance on pre-existing infrastructure. This work is pivotal for advancing mobile mapping systems that operate in dynamic environments. By leveraging the Robot Operating System (ROS), he has made these methods more accessible for research and practical deployment. Though early in his career, Langin’s research is already shaping how autonomous systems perceive and navigate their surroundings, bridging the gap between raw sensor data and actionable spatial intelligence. His work holds promise for safer autonomous vehicles and more efficient infrastructure monitoring.
Research Focus
Key Achievements
Top Papers
- 1