13 citations · 27 across the 32 of their papers we have counts for
6 papers · 1 filter
Active Robot Vision for Distant Object Change Detection: A Lightweight Training Simulator Inspired by Multi-Armed Bandits
Kouki Terashima, Kanji Tanaka, Ryogo Yamamoto +1
In ground-view object change detection, the recently emerging mapless navigation has great potential to navigate a robot to objects distantly detected (e.g., books, cups, clothes)…
Lifelong Change Detection: Continuous Domain Adaptation for Small Object Change Detection in Every Robot Navigation
Koji Takeda, Kanji Tanaka, Yoshimasa Nakamura
The recently emerging research area in robotics, ground view change detection, suffers from its ill-posed-ness because of visual uncertainty combined with complex nonlinear perspec…
PartSLAM: Unsupervised Part-based Scene Modeling for Fast Succinct Map Matching
Shogo Hanada, Kanji Tanaka
In this paper, we explore the challenging 1-to-N map matching problem, which exploits a compact description of map data, to improve the scalability of map matching techniques used…
Detection and Classification of Pole-like Landmarks for Domain-invariant 3D Point Cloud Map Matching
Sun Yifei, Li Dingrui, Ye Minying +1
In 3D point cloud-based visual self-localization, pole landmarks have a great potential as landmarks for accurate and reliable localization due to their long-term stability under s…
A Multi-modal Approach to Single-modal Visual Place Classification
Tomoya Iwasaki, Kanji Tanaka, Kenta Tsukahara
Visual place classification from a first-person-view monocular RGB image is a fundamental problem in long-term robot navigation. A difficulty arises from the fact that RGB image cl…
Active Semantic Localization with Graph Neural Embedding
Mitsuki Yoshida, Kanji Tanaka, Ryogo Yamamoto +1
Semantic localization, i.e., robot self-localization with semantic image modality, is critical in recently emerging embodied AI applications (e.g., point-goal navigation, object-go…