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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Ph.D. Thesis Proposal Announcement
Title: The Role Of Allocentric Representations In High-Speed Local Navigation
Duy Nguyen Ta Huynh
School of Interactive Computing
College of Computing
Georgia Institute of Technology
Date: Friday November 9th, 2012
Time: 2:00PM - 5:00PM (EST)
Location: MiRC 102A
Committee:
Abstract:
In this proposal, I address the problem of autonomous high-speed navigation for rally racing and military applications. State-of-the-art methods in autonomous navigation are inefficient in their local planning and perception methods, limiting their capabilities to drive fast. Inspired by research in cognitive science and experimental psychology, I study the main computational benefit of allocentric representations and exploit their advantages to propose an efficient local navigation system. I propose an allocentric planning framework that exploits motion prediction in multiple allocentric frames to reduce unnecessary and expensive re-planning computations. I show that the proposed planning framework could be supported directly and efficiently by a robust and fast dual-vision system, mimicking the selectivity mechanism of bio-vision for efficient resource allocations. As a result, the system can fluidly coordinate local perception and planning together. I propose to implement and evaluate the entire system on a high-end car simulator, X-Motor Racing, as well as on a real RC car platform.
