ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference, Vol.1
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5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference (Fort Lauderdale, Florida, USA, 10/17/2012–10/19/2012)
The aim of this effort is to develop a model of an actual unmanned ground vehicle system for computer simulations in order to evaluate guidance algorithms developed for autonomous waypoint navigation and obstacle avoidance. Simulation is a vital tool for the development of autonomous systems. Simulating individual parts and units of the system can help identify flaws in its design or implementation. In the Matlab-Simulink environment, a kinematic based model of an skid-steer ground vehicle is designed. Furthermore, a model of quadrature encoders for position estimation, and a laser range finder (LRF) sensor model for obstacle detection are also created. Two different groups of experiments are performed to test the performance of the proposed models. Experimental results indicate that the models can adequately simulate the actual vehicle behaviors. This effort is part of an ongoing research to create fully autonomous UxVs capable of waypoint navigation and obstacle avoidance.
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Details
Title
Modeling of an unmanned ground vehicle for autonomous navigation and obstacle avoidance simulations
Publication Details
ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference, Vol.1
Resource Type
Conference proceeding
Conference
5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference (Fort Lauderdale, Florida, USA, 10/17/2012–10/19/2012)
Publisher
American Society of Mechanical Engineers (ASME); United States
Series
1
Copyright
Permission granted to the University of West Florida Libraries to digitize and/or display this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires the permission of the copyright holder.
Identifiers
99380090793006600
Academic Unit
Intelligent Systems and Robotics; Hal Marcus College of Science and Engineering