\u003cp\u003e\u003ci\u003eAdvanced Driver Intention Inference: Theory and Design\u003c/i\u003e describes one of the most important function for future ADAS, namely, the driver intention inference. The book contains the state-of-art knowledge on the construction of driver intention inference system, providing a better understanding on how the human driver intention mechanism will contribute to a more naturalistic on-board decision system for automated vehicles.\u003c/p\u003e\u003cul\u003e \u003cli\u003eFeatures examples of using machine learning/deep learning to build industry products\u003c/li\u003e \u003cli\u003eDepicts future trends for driver behavior detection and driver intention inference\u003c/li\u003e \u003cli\u003eDiscuss traffic context perception techniques that predict driver intentions such as Lidar and GPS\u003c/li\u003e\u003c/ul\u003e
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