Reliable Object Detection and Identification in Adverse Conditions

Watch a technical lecture exploring cutting-edge developments in autonomous vehicle perception systems, focusing on radar technology for reliable object detection in challenging weather conditions. Learn about innovative multi-radar systems and radar-camera fusion approaches that overcome the limitations of traditional light-based sensors like cameras and lidars. Discover how smart infrastructure augmentation tags enable radar-based object identification for both indoor and outdoor applications. Explore the impact of robust object detection on SLAM (Simultaneous Localization and Mapping), path planning, and navigation systems. Presented by Kshitiz Bansal, a Computer Science Ph.D. candidate at UC San Diego specializing in automotive imaging radar, computer vision, and signal processing algorithms, whose work has been featured in prestigious conferences and publications including the Wall Street Journal.