Theories and Practices of Self-Driving Vehicles
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Theories and Practices of Self-Driving Vehicles
Zhi, Peng; Zhao, Rui; Shen, Zebang; Yong, Binbin; Zhou, Qingguo
Elsevier - Health Sciences Division
07/2022
342
Mole
Inglês
9780323994484
15 a 20 dias
450
Descrição não disponível.
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Autonomous vehicle system; Basic framework; Behavior planning; Classification; Computer vision; Control algorithm; Deep deterministic policy gradient; Deep learning; Deep Q network; End-to-end selfdriving; Extended Kalman filter; Function approximation method; Husky simulator; Kalman; LiDAR; Localization; Machine learning; Mapping; Model predictive controller; Motion planning; Neural network; Nonlinear system; Pattern recognition; PID control; Publish-subscribe pattern; Reinforcement learning; Robot operating system; SLAM; Task planning; Trajectory optimization; Transfer learning; Unmanned vehicle; Unscented Kalman filter; Vehicle control; Vehicle model; Visual perception
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Autonomous vehicle system; Basic framework; Behavior planning; Classification; Computer vision; Control algorithm; Deep deterministic policy gradient; Deep learning; Deep Q network; End-to-end selfdriving; Extended Kalman filter; Function approximation method; Husky simulator; Kalman; LiDAR; Localization; Machine learning; Mapping; Model predictive controller; Motion planning; Neural network; Nonlinear system; Pattern recognition; PID control; Publish-subscribe pattern; Reinforcement learning; Robot operating system; SLAM; Task planning; Trajectory optimization; Transfer learning; Unmanned vehicle; Unscented Kalman filter; Vehicle control; Vehicle model; Visual perception
