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By Yaobin Chen and Lingxi Li (Auth.)

ISBN-10: 0123971993

ISBN-13: 9780123971999

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Extra resources for Advances in Intelligent Vehicles

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Agrawal, Velocity and position control of a wheeled inverted pendulum by partial feedback linearization, IEEE Transaction on Robotics 21 (3) (2005) 505e513. [12] M. Karkoub, M. Parent, Modeling and non-linear feedback stabilization of a two-wheel vehicle, Journal of Systems and Control Engineering 218 (8) (2004) 675e686. W. Spong, The swing up control problem for the acrobat, IEEE Control Systems Magazine 15 (5) (1995) 49e55. J. Li, J. Luo, Adaptive robust dynamic valance and motion controls of mobile wheeled inverted pendulums, IEEE Transaction on Control System Technology 17 (1) (2009) 233e241.

M. (39,052 seconds after midnight), the vehicle reaches the intersection and continues straight on 10 Mile Rd. 17: Map of the Area at Detroit, MI, Used for Data Collection by Honda R&D. The intersection marked with A is used in the example. Image from Google Maps. Ó 2012 Google. Later in the day, the same vehicle (Vehicle 1) approaches the same intersection (intersection A) from north on Amanda Ln. m. (53,120 seconds after midnight), slows down, and makes a left turn on to Ten Mile Road, leaving the intersection heading east.

However, the more the recorded data are modified, the more unrealistic the measurements become. At some point, the benefits of highly manipulated real-life data versus pure simulation become debatable. 3 Virtual Environments The virtual environment in conjunction with a physical testing setup can significantly increase the set of possible testing scenarios, in addition to making them easier to implement. Specifically, in an indoor testbed, primary objects can be added to the environment without physically creating them in the laboratory.

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Advances in Intelligent Vehicles by Yaobin Chen and Lingxi Li (Auth.)

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