Topics

This special session aims to bring together the latest results of machine learning applied to various research problems in Autonomous Driving and commercial Driver Assistance systems. We are soliciting contributions in (but not limited to) the following topics:

• • Applications of Deep Learning ranging from object detection to end-to-end learning.

  • Probabilistic Graphical Models like dynamic Bayesian networks (DBNs) for SLAM and sensor fusion.

  • Machine learning for sparse sensors like LIDAR and RADAR.

  • Reinforcement learning for Trajectory and Route Planning.

  • Machine learning based multi-sensor fusion algorithms.

  • Real-time system implementation on embedded platforms.