|Jul 4 2019 2:00PM
Raoul de Charette
Computer vision researcher / Chercheur en vision numérique
Robotics and Intelligent Transportation Systems (RITS)
Vision with Dense and Sparse Data for Autonomous Driving /
Vision avec Données Denses ou Éparses pour la Conduite Autonome
Robots need an accurate 3D understanding of their direct vicinity to navigate freely.
This two-fold talk will first focus on how to fuse sparse 3D data + dense RGB data with CNNs and improve vision tasks such as semantic segmentation, data completion, object detection, etc.
Different from mediated perception, the second part will present an end-to-end driving algorithm which is trained in a deep reinforcement learning fashion in a realistic synthetic environment.
The seminar will be presented at 2:00 p.m. in room PLT-3370.