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Creating Autonomous Vehicle Systems Shaoshan Liu, PerceptIn Liyun Li, Baidu US Jie Tang, South China University of Technology Shuang Wu, YiTu Jean-Luc Gaudiot, University of California, Irvine Paperback ISBN: 9781681730073 eBook ISBN: 9781681730080 October 2017, 196 pages Morgan & Claypool Publishers is proud to announce the publication of the first technical book on autonomous vehicles for a general computer science audience. Creating Autonomous Vehicle Systems is written by four leading research and development experts in the field and provides both underlying theory and practical applications for this fast-growing technology area. http://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1090 This book will be useful to hardware and software engineers, students, and autonomous vehicle researchers and practitioners. Students interested in autonomous driving will find this a comprehensive overview of the entire autonomous vehicle technology stack. Researchers will find plenty of references for an effective, deeper exploration of the various technologies, and practitioners will find many practical techniques used successfully by the authors. Autonomous driving is not one single technology; it is an integration of many technologies. It demands innovations in algorithms, system integrations, and cloud platforms. Creating Autonomous Vehicle Systems covers each of these subsystems in detail: algorithms for localization, perception, and planning and control; client systems, such as the robotics operating system and hardware platform; and the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. Review copies (eBook) are available for academic and professional courses as well as for media. Please contact Brent Beckley ([log in to unmask]) ######################################################################## to manage your DLF-ANNOUNCE subscription, visit diglib.org/announce