Lisheng Jin
Papers
1
Total Citations
6
H-Index
1
About
Lisheng Jin is a researcher whose work lies at the intersection of autonomous robotics and sensor fusion, with a particular focus on enhancing environmental perception for mobile systems. His most-cited paper, "An Obstacle Detection System for a Mobile Robot Based on Radar-Vision Fusion" (2015), introduces a pioneering approach that integrates radar and vision data to improve obstacle detection reliability in dynamic environments. This work, with 6 citations, underscores his contribution to developing robust, multi-sensor frameworks that address the limitations of single-sensor systems, such as poor visibility or range constraints. By combining radar’s accuracy in distance measurement with vision’s rich contextual information, Jin’s research has advanced the safety and efficiency of autonomous navigation, particularly in cluttered or unpredictable settings. His efforts are part of a broader push toward more resilient robotic perception, making his work relevant for students and researchers exploring sensor fusion, mobile robotics, or autonomous vehicle technologies. Though his citation count is modest, Jin’s foundational ideas continue to influence subsequent studies in obstacle detection and real-time decision-making for intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1