3 citations · 4 across the 4 of their papers we have counts for
10 papers
DRIP: Discriminative Rotation-Invariant Pole Landmark Descriptor for 3D LiDAR Localization
Dingrui Li, Dedi Guo, Kanji Tanaka
In 3D LiDAR-based robot self-localization, pole-like landmarks are gaining popularity as lightweight and discriminative landmarks. This work introduces a novel approach called "dis…
Cross-view Self-localization from Synthesized Scene-graphs
Ryogo Yamamoto, Kanji Tanaka
Cross-view self-localization is a challenging scenario of visual place recognition in which database images are provided from sparse viewpoints. Recently, an approach for synthesiz…
Walking = Traversable? : Traversability Prediction via Multiple Human Object Tracking under Occlusion
Jonathan Tay Yu Liang, Kanji Tanaka
The emerging ``Floor plan from human trails (PfH)" technique has great potential for improving indoor robot navigation by predicting the traversability of occluded floors. This stu…
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…
Compressive Self-localization Using Relative Attribute Embedding
Ryogo Yamamoto, Kanji Tanaka
The use of relative attribute (e.g., beautiful, safe, convenient) -based image embeddings in visual place recognition, as a domain-adaptive compact image descriptor that is orthogo…