Petri Manninen
Papers
2
Total Citations
22
H-Index
2
About
Petri Manninen is a researcher at the forefront of autonomous vehicle perception and 3D environmental sensing. His work centers on advancing lidar technology, particularly through the integration of hyperspectral and multispectral imaging to overcome the limitations of conventional single-wavelength systems. Manninen’s major contribution lies in demonstrating the feasibility of hyperspectral single-photon lidar for robust autonomous driving, showing that this approach can maintain high performance even in challenging low-light conditions where traditional sensors fail. His research on semantic segmentation of raw multispectral laser scanning data using deep neural networks has further pushed the boundaries of real-time point cloud analysis for urban mapping and mobile robotics. With his most-cited paper garnering 17 citations since 2022, Manninen’s work is gaining traction for its practical implications in improving the safety and reliability of autonomous systems. By enabling more detailed spectral information to be captured simultaneously with 3D data, his innovations promise to enhance object recognition and scene understanding in dynamic environments, marking him as a rising contributor to the next generation of intelligent perception technologies.
Research Focus
Key Achievements
Top Papers
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