Mrinal Senapati

Indian Institute of Technology Hyderabad

Papers

Total Citations

H-Index

About

Mrinal Senapati is a researcher at the forefront of autonomous vehicle perception, specializing in LiDAR-based environmental sensing and sensor fusion. His work is instrumental in enabling self-driving cars to accurately detect and interpret their surroundings. Senapati’s major contributions include a quantitative comparison of LiDAR point cloud segmentation techniques, providing a critical benchmark for the field. He has also conducted an experimental analysis of multi-channel LiDAR systems, addressing key challenges in depth perception and resolution. Furthermore, his research on LiDAR-camera fusion tackles the critical limitation of LiDAR’s inability to capture visual cues like traffic lights, creating a more robust perception system. With his most-cited papers accumulating 7 and 6 citations respectively, Senapati’s work is gaining traction in the autonomous driving community. His research directly addresses the practical hurdles of deploying reliable perception systems, making him a notable contributor to the advancement of safe and effective autonomous vehicle technology.