What turns an autonomous vehicle’s planned trajectory into precise, stable, physically achievable motion?
Autonomous Vehicle Kinematics and Dynamics: Mathematical Modeling, State Estimation, and Low-Level Control System Implementation takes you inside the engineering layer where mathematics meets the road.
Built for automotive engineers, robotics developers, researchers, and advanced students, this practical guide connects vehicle kinematics, dynamic bicycle models, tire mechanics, sensor fusion, Kalman filtering, trajectory tracking, and model predictive control into one coherent autonomous motion-control framework.
Discover how to model vehicle motion, estimate states from IMU, GNSS, and wheel data, understand tire slip and friction limits, implement Pure Pursuit, Stanley, PID, and MPC controllers, and connect algorithms with C++20, ROS 2, actuator dynamics, CAN communication, and closed-loop validation.
From mathematical model to steering, braking, and physical vehicle response, this book gives you the engineering foundation to understand not just how autonomous vehicles decide where to go—but how they actually get there.
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Seller: California Books, Miami, FL, U.S.A.
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. What turns an autonomous vehicle's planned trajectory into precise, stable, physically achievable motion?Autonomous Vehicle Kinematics and Dynamics: Mathematical Modeling, State Estimation, and Low-Level Control System Implementation takes you inside the engineering layer where mathematics meets the road.Built for automotive engineers, robotics developers, researchers, and advanced students, this practical guide connects vehicle kinematics, dynamic bicycle models, tire mechanics, sensor fusion, Kalman filtering, trajectory tracking, and model predictive control into one coherent autonomous motion-control framework.Discover how to model vehicle motion, estimate states from IMU, GNSS, and wheel data, understand tire slip and friction limits, implement Pure Pursuit, Stanley, PID, and MPC controllers, and connect algorithms with C++20, ROS 2, actuator dynamics, CAN communication, and closed-loop validation.From mathematical model to steering, braking, and physical vehicle response, this book gives you the engineering foundation to understand not just how autonomous vehicles decide where to go-but how they actually get there. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798171437701
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. What turns an autonomous vehicle's planned trajectory into precise, stable, physically achievable motion?Autonomous Vehicle Kinematics and Dynamics: Mathematical Modeling, State Estimation, and Low-Level Control System Implementation takes you inside the engineering layer where mathematics meets the road.Built for automotive engineers, robotics developers, researchers, and advanced students, this practical guide connects vehicle kinematics, dynamic bicycle models, tire mechanics, sensor fusion, Kalman filtering, trajectory tracking, and model predictive control into one coherent autonomous motion-control framework.Discover how to model vehicle motion, estimate states from IMU, GNSS, and wheel data, understand tire slip and friction limits, implement Pure Pursuit, Stanley, PID, and MPC controllers, and connect algorithms with C++20, ROS 2, actuator dynamics, CAN communication, and closed-loop validation.From mathematical model to steering, braking, and physical vehicle response, this book gives you the engineering foundation to understand not just how autonomous vehicles decide where to go-but how they actually get there. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798171437701
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - What turns an autonomous vehicle's planned trajectory into precise, stable, physically achievable motion Autonomous Vehicle Kinematics and Dynamics: Mathematical Modeling, State Estimation, and Low-Level Control System Implementation takes you inside the engineering layer where mathematics meets the road.Built for automotive engineers, robotics developers, researchers, and advanced students, this practical guide connects vehicle kinematics, dynamic bicycle models, tire mechanics, sensor fusion, Kalman filtering, trajectory tracking, and model predictive control into one coherent autonomous motion-control framework.Discover how to model vehicle motion, estimate states from IMU, GNSS, and wheel data, understand tire slip and friction limits, implement Pure Pursuit, Stanley, PID, and MPC controllers, and connect algorithms with C++20, ROS 2, actuator dynamics, CAN communication, and closed-loop validation.From mathematical model to steering, braking, and physical vehicle response, this book gives you the engineering foundation to understand not just how autonomous vehicles decide where to go-but how they actually get there. Seller Inventory # 9798171437701
Quantity: 2 available