Diplôme d’ingénieur, ENPC
Master MVA, ENS Cachan
Fusion of LiDAR, RADAR and RGB data for autonomous vehicle navigation.
We will explore the fusion of multiple sensory information for autonomous vehicles. An autonomous car navigates in uninstrumented real-world environments, and it actively collects desired data in a sample efficient way via a variety of sensors, including cameras, LiDARs, and Radars. To improve perception and navigation in such scenarios, we seek to combine weakly/self-supervised learning with multi-modal learning techniques.