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- W2503691157 abstract "Correctly identifying previously-visited locations is essential for robotic place recognition and localisation. This thesis presents training-free solutions to vision-based place recognition under changing environmental conditions and camera viewpoints. Using vision as a primary sensor, the proposed approaches combine image segmentation and rescaling techniques over sequences of visual imagery to enable successful place recognition over a range of challenging environments where prior techniques have failed." @default.
- W2503691157 created "2016-08-23" @default.
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- W2503691157 date "2016-01-01" @default.
- W2503691157 modified "2023-09-28" @default.
- W2503691157 title "Visual sequence-based place recognition for changing conditions and varied viewpoints" @default.
- W2503691157 hasPublicationYear "2016" @default.
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