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- W2511431256 abstract "This technical report presents techniques for environmental feature detection and identification using sonar sensors. By detecting common features in indoor environments and using them as landmarks, a robot can navigate reliably, recovering its pose when necessary. Results using a multiple hypothesis testing procedure for feature localization and identification show that accurate feature information can be acquired with adequate sonar models and configurations. In addition, a method that associates sonar configuration with the precision of feature extraction is discussed, as well as its utility for guiding an active sonar sensor. Future goals are to make the pose recovery procedure dependent upon navigation constraints, and to study the use of the navigational knowledge acquired to optimize the path generated by an incremental motion planner." @default.
- W2511431256 created "2016-09-16" @default.
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- W2511431256 date "1997-10-01" @default.
- W2511431256 modified "2023-09-28" @default.
- W2511431256 title "Feature Extraction for Autonomous Navigation TITLE2" @default.
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