Computer Vision and Imaging in Intelligent Transportation Systems

1Introduction

Raja Bala¹ and Robert P. Loce²

¹ Samsung Research America, Richardson, TX, USA

² Conduent Labs, Webster, NY, USA

With rapid advances in driver assistance features leading ultimately to autonomous vehicle technology, the automobile of the future is increasingly relying on advances in computer vision for greater safety and convenience. At the same time, providers of transportation infrastructure and services are expanding their reliance on computer vision to improve safety and efficiency in transportation and addressing a range of problems, including traffic monitoring and control, incident detection and management, road use charging, and road condition monitoring. Computer vision is thus helping to simultaneously solve critical problems at both ends of the transportation spectrum—at the consumer level and at the level of the infrastructure provider. The book aims to provide a comprehensive survey of methods and systems that use both infrastructural and in‐vehicle computer vision technology to address key transportation applications in the following three broad problem domains: (i) law enforcement and security, (ii) efficiency, and (iii) driver safety and comfort. Table 1.1 lists the topics addressed in the text under each of these three domains.

Table 1.1 Taxonomy of problem domains and applications described in the book.

Problem domains	Applications and methods	Imaging system employed
Law enforcement and security	License plate recognition for violations	Infrastructure
	Vehicle ...