Type of Document Master's Thesis Author Reed, Caleb M. Author's Email Address email@example.com URN etd-04242008-105132 Title Experiments in Real-time Path Planning for Riverine Environments Degree Master of Science Department Electrical and Computer Engineering Advisory Committee
Advisor Name Title Kurdila, Andrew J. Committee Co-Chair Stilwell, Daniel J. Committee Co-Chair Wyatt, Christopher L. Committee Member Keywords
- autonomous surface vessel
- path planning
- obstacle avoidance
- occupancy map
Date of Defense 2008-04-22 Availability unrestricted AbstractThis work focuses on the development and implementation of an autonomous path planning and obstacle avoidance algorithm for an autonomous surface vehicle (ASV) in a riverine environment. The algorithm effectively handles trap situations, which occur when the river bends away from the destination. In addition, the algorithm uses real-time sensor feedback to avoid obstacles.
A general global route is proposed based on an a priori shoreline map. Then, local paths are calculated considering both the a priori data and measurements received from an obstacle sensor. These paths roughly follow the global path. The algorithm was tested on an ASV equipped with basic navigational sensors and an omnidirectional camera for obstacle detection, and experimentation verified its effectiveness.
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