Computer Vision for Driver Assistance: Simultaneous Traffic and Driver Monitoring (Computational Imaging and Vision)

This book summarises the state of the art in computer vision-based driver and road monitoring, focussing on monocular vision technology in particular, with the aim to address challenges of driver assistance and autonomous driving systems.

While the systems designed for the assistance of drivers of on-road vehicles are currently converging to the design of autonomous vehicles, the research presented here focuses on scenarios where a driver is still assumed to pay attention to the traffic while operating a partially automated vehicle. Proposing various computer vision algorithms, techniques and methodologies, the authors also provide a general review of computer vision technologies that are relevant for driver assistance and fully autonomous vehicles.

Computer Vision for Driver Assistance is the first book of its kind and will appeal to undergraduate and graduate students, researchers, engineers and those generally interested in computer vision-related topics in modern vehicle design. 

本書總結了基於計算機視覺的駕駛員和道路監控的最新技術，尤其關注單目視覺技術，旨在應對駕駛輔助和自動駕駛系統的挑戰。

儘管目前為駕駛輔助系統設計的系統正在趨於自動駕駛車輛的設計，但本研究重點關注駕駛員在操作部分自動化車輛時仍需注意交通情況的場景。作者提出了各種計算機視覺算法、技術和方法，並對與駕駛輔助和完全自動駕駛車輛相關的計算機視覺技術進行了綜述。

《駕駛輔助的計算機視覺》是第一本此類書籍，適合本科生、研究生、研究人員、工程師以及對現代車輛設計中的計算機視覺相關主題感興趣的讀者。