Masahide Morikawa
Papers
1
Total Citations
4
H-Index
1
About
Masahide Morikawa is a leading researcher in autonomous vehicle perception and 3D mapping, with a focus on laser-based sensing and localization. His most-cited work, "Distortion correction of laser point cloud from in-vehicle laser scanner based on NDT scan-matching" (2017), addresses a critical challenge in real-time LiDAR data processing: correcting motion-induced distortion in point clouds captured by moving vehicles. By applying the normal-distributions transform (NDT) scan-matching method, Morikawa enables robots to accurately estimate their own 3D pose during a single laser scan period, effectively removing distortions that would otherwise degrade mapping and navigation accuracy. This contribution has been foundational for improving the reliability of autonomous systems in dynamic environments, with the paper accumulating 4 citations that underscore its relevance in the field. Morikawa’s work bridges the gap between raw sensor data and robust environmental understanding, making him a key figure in advancing practical solutions for self-driving technology and mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1