Advanced Driver Intention Inference: Theory and Design

Describes one of the most important functions for future ADAS, namely, the driver intention inference. The book contains the state-of-the-art knowledge on the construction of driver intention inference systems, providing a better understanding of how the human driver intention mechanism will contribute to a more naturalistic on-board decision system for automated vehicles.

Features examples of using machine learning/deep learning to build industry products

Depicts future trends for driver behavior detection and driver intention inference

Discusses traffic context perception techniques that predict driver intentions such as Lidar and GPS