BOOKS - TECHNICAL SCIENCES - Creating Autonomous Vehicle Systems, 2nd Edition
US $9.91
868006
868006
Creating Autonomous Vehicle Systems, 2nd Edition
Author: Shaoshan Liu, Liyun Li, Jie Tang, Shuang Wu, Jean-Luc Gaudiot
Year: 2020
Number of pages: 244
Format: PDF
File size: 28 MB
Language: ENG
Year: 2020
Number of pages: 244
Format: PDF
File size: 28 MB
Language: ENG
This book is one of the first technical overviews of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences designing autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions as to its future actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, new algorithms can be tested so as to update the HD map—in addition to training better recognition, tracking, and decision models.
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