Description



Table of Contents
1. Introduction of Self-driving vehicle system 2. Overview of Robot Operating System (ROS) 3. Position modules 4. State estimation and sensor fusion 5. Machine Learning and Neural Network Fundamentals 6. Deep learning and visual perception 7. Transfer learning and end-to-end driverless driving 8. Getting Started with Autonomous Driving Planning 9. Vehicle models and advanced controls 10. Reinforcement learning and its application in autonomous driving

Theories and Practices of SelfDriving Vehicles

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    A Paperback by Binbin Yong, Zebang Shen, Binbin Yong

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      Publisher: Elsevier Science
      Publication Date: 7/5/2022 12:00:00 AM
      ISBN13: 9780323994484, 978-0323994484
      ISBN10: 0323994482

      Description



      Table of Contents
      1. Introduction of Self-driving vehicle system 2. Overview of Robot Operating System (ROS) 3. Position modules 4. State estimation and sensor fusion 5. Machine Learning and Neural Network Fundamentals 6. Deep learning and visual perception 7. Transfer learning and end-to-end driverless driving 8. Getting Started with Autonomous Driving Planning 9. Vehicle models and advanced controls 10. Reinforcement learning and its application in autonomous driving

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