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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Creating Autonomous Vehicle Systems, Second Edition

Creating Autonomous Vehicle Systems, Second Edition

Liu, Shaoshan
Li, Liyun
Tang, Jie

Paperback

Series: Synthesis Lectures on Computer Science

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 3031006771
ISBN13: 9783031006777
Publisher: Springer Nature
Published: Sep 11 2020
Pages: 221
Weight: 0.94
Height: 0.51 Width: 7.50 Depth: 9.25
Language: English
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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