Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms

no code implementations • 13 Oct 2020 • Akiyoshi Kurobe, Yoshikatsu Nakajima, Hideo Saito, Kris Kitani

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, autonomous vehicles, and ground exploration robots.

Autonomous Vehicles Self-Supervised Learning +1

Incremental Class Discovery for Semantic Segmentation with RGBD Sensing

no code implementations • ICCV 2019 • Yoshikatsu Nakajima, Byeongkeun Kang, Hideo Saito, Kris Kitani

This work addresses the task of open world semantic segmentation using RGBD sensing to discover new semantic classes over time.

Image Segmentation Segmentation +1

Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation

no code implementations • 7 Mar 2018 • Yoshikatsu Nakajima, Keisuke Tateno, Federico Tombari, Hideo Saito

We propose an efficient and scalable method for incrementally building a dense, semantically annotated 3D map in real-time.

Computational Efficiency Segmentation