3 papers
cs.CV2020
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms
Akiyoshi Kurobe, Yoshikatsu Nakajima, Hideo Saito +1
The ability to both recognize and discover terrain characteristics is an important function required for many autonomous ground robots such as social robots, assistive robots, auto…
cs.CV2019
Incremental Class Discovery for Semantic Segmentation with RGBD Sensing
Yoshikatsu Nakajima, Byeongkeun Kang, Hideo Saito +1
This work addresses the task of open world semantic segmentation using RGBD sensing to discover new semantic classes over time. Although there are many types of objects in the real…
cs.CV2018
Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation
Yoshikatsu Nakajima, Keisuke Tateno, Federico Tombari +1
We propose an efficient and scalable method for incrementally building a dense, semantically annotated 3D map in real-time. The proposed method assigns class probabilities to each…