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Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free.

, , , , , , and . Robotics: Science and Systems, (2015)

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TIMTAM: Tunnel-Image Texturally Accorded Mosaic for Location Refinement of Underground Vehicles With a Single Camera., , , , , and . IEEE Robotics Autom. Lett., 4 (4): 4362-4369 (2019)Convolutional Neural Network-based Place Recognition., , , and . CoRR, (2014)Feature Map Filtering: Improving Visual Place Recognition with Convolutional Calibration., , and . CoRR, (2018)Brain-inspired sensor fusion for navigating robots., and . ICRA, page 2906-2913. IEEE, (2013)Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free., , , , , , and . Robotics: Science and Systems, (2015)Online place recognition calibration for out-of-the-box SLAM., , and . IROS, page 1357-1364. IEEE, (2015)Multi-scale bio-inspired place recognition., , , , and . ICRA, page 1895-1901. IEEE, (2014)Look No Further: Adapting Experience History to the Temporal Characteristics of the Environment., , and . CoRR, (2017)Look No Further: Adapting the Localization Sensory Window to the Temporal Characteristics of the Environment., , and . IEEE Robotics Autom. Lett., 2 (4): 2209-2216 (2017)LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles., , , , , and . ICRA, page 1444-1450. IEEE, (2019)