Explores deep learning for autonomous vehicles, covering perception, action, and social forecasting in the context of sensor technologies and ethical considerations.
Explores predictive models and trackers for autonomous vehicles, covering object detection, tracking challenges, neural network-based tracking, and 3D pedestrian localization.
Explores the dynamics and impact of autonomous vehicles, discussing their advantages, controversies, challenges, and integration considerations for future transport systems.
