13 citations · 27 across the 32 of their papers we have counts for
5 papers · 1 filter
Unsupervised Place Discovery for Visual Place Classification
Fei Xiaoxiao, Tanaka Kanji, Inamoto Kouya
In this study, we explore the use of deep convolutional neural networks (DCNNs) in visual place classification for robotic mapping and localization. An open question is how to part…
Deformable Map Matching for Uncertain Loop-Less Maps
Kanji Tanaka
In the classical context of robotic mapping and localization, map matching is typically defined as the task of finding a rigid transformation (i.e., 3DOF rotation/translation on th…
Multi-Model Hypothesize-and-Verify Approach for Incremental Loop Closure Verification
Kanji Tanaka
Loop closure detection, which is the task of identifying locations revisited by a robot in a sequence of odometry and perceptual observations, is typically formulated as a visual p…
Compressive Change Retrieval for Moving Object Detection
Tomoya Murase, Kanji Tanaka
Change detection, or anomaly detection, from street-view images acquired by an autonomous robot at multiple different times, is a major problem in robotic mapping and autonomous dr…
Self-localization from Images with Small Overlap
Tanaka Kanji
With the recent success of visual features from deep convolutional neural networks (DCNN) in visual robot self-localization, it has become important and practical to address more g…