Capraru | Richard

Dr. Richard Capraru is a prominent academic researcher specializing in the intersection of machine learning, radar systems, and autonomous vehicle perception. He has gained international recognition for his work addressing the vulnerabilities of LiDAR and radar data in adverse weather conditions.

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Capraru's research addresses the vulnerabilities of self-driving cars, particularly how sensors like LiDAR can be compromised by environmental factors like rain or by intentional cyber-physical attacks.  richard capraru

Dop-NET Database: This work introduced a shareable database of radar micro-Doppler signatures aimed at training and benchmarking hand-gesture recognition and classification algorithms.

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BEng in Electrical and Electronic Engineering (2018–2021): Graduated from University College London (UCL), where he was a Laidlaw Scholar.

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Machine Learning and Computer Vision: Utilizing deep learning and neural networks for signal, image, and video processing.

LiDAR and Radar Perception: Investigating how sensors like LiDAR perform in adverse weather, such as heavy rain, and how these conditions affect the reliability of autonomous navigation.