G
Gordon Wyeth
Researcher at Queensland University of Technology
Publications - 195
Citations - 6241
Gordon Wyeth is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Robot & Mobile robot. The author has an hindex of 31, co-authored 195 publications receiving 5654 citations. Previous affiliations of Gordon Wyeth include University of Queensland & Vision Australia.
Papers
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Proceedings ArticleDOI
SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights
Michael Milford,Gordon Wyeth +1 more
TL;DR: SeqSLAM as mentioned in this paper calculates the best candidate matching location within every local navigation sequence and localization is then achieved by recognizing coherent sequences of these "local best matches" by removing the need for global matching performance by the vision front-end.
Journal Article
SeqSLAM : visual route-based navigation for sunny summer days and stormy winter nights
Michael Milford,Gordon Wyeth +1 more
TL;DR: A new approach to visual navigation under changing conditions dubbed SeqSLAM, which removes the need for global matching performance by the vision front-end - instead it must only pick the best match within any short sequence of images.
Proceedings ArticleDOI
RatSLAM: a hippocampal model for simultaneous localization and mapping
TL;DR: RatSLAM is an implementation of a hippocampal model that can perform SLAM in real time on a real robot, and uses a competitive attractor network to integrate odometric information with landmark sensing to form a consistent representation of the environment.
Journal ArticleDOI
Mapping a Suburb With a Single Camera Using a Biologically Inspired SLAM System
Michael Milford,Gordon Wyeth +1 more
TL;DR: A biologically inspired approach to vision-only simultaneous localization and mapping (SLAM) on ground-based platforms based on computational models of the rodent hippocampus is described, coupled with a lightweight vision system that provides odometry and appearance information.
Journal ArticleDOI
Persistent Navigation and Mapping using a Biologically Inspired SLAM System
Michael Milford,Gordon Wyeth +1 more
TL;DR: This work investigated the persistent navigation and mapping problem in the context of an autonomous robot that performs mock deliveries in a working office environment over a two-week period and found the solution was based on the biologically inspired visual SLAM system, RatSLAM.