4 papers
Deep SIMBAD: Active Landmark-based Self-localization Using Ranking -based Scene Descriptor
Tanaka Kanji
Landmark-based robot self-localization has recently garnered interest as a highly-compressive domain-invariant approach for performing visual place recognition (VPR) across domains…
Long-Term Vehicle Localization by Recursive Knowledge Distillation
Hiroki Tomoe, Tanaka Kanji
Most of the current state-of-the-art frameworks for cross-season visual place recognition (CS-VPR) focus on domain adaptation (DA) to a single specific season. From the viewpoint o…
Detection-by-Localization: Maintenance-Free Change Object Detector
Tanaka Kanji
Recent researches demonstrate that self-localization performance is a very useful measure of likelihood-of-change (LoC) for change detection. In this paper, this "detection-by-loca…
Zero-Shot Learning to Manage a Large Number of Place-Specific Compressive Change Classifiers
Tanaka Kanji
With recent progress in large-scale map maintenance and long-term map learning, the task of change detection on a large-scale map from a visual image captured by a mobile robot has…