Pathfinder: Designing a map-less navigation system for blind people in unfamiliar buildings
Indoor navigation systems with prebuilt maps have shown great potential in navigating blind
people even in unfamiliar buildings. However, blind people cannot always benefit from them …
people even in unfamiliar buildings. However, blind people cannot always benefit from them …
Vision-based road-following using results of semantic segmentation for autonomous navigation
Recent research into autonomous navigation of a robot have used accurate and dense three-
dimensional sensors such as 3DLiDAR and RADAR for map building and localization …
dimensional sensors such as 3DLiDAR and RADAR for map building and localization …
Visual navigation based on semantic segmentation using only a monocular camera as an external sensor
The most popular external sensor for robots capable of autonomous movement is 3D LiDAR.
However, cameras are typically installed on robots that operate in environments where …
However, cameras are typically installed on robots that operate in environments where …
Visual navigation using a webcam based on semantic segmentation for indoor robots
The realization of a moving robot that can autonomously work in an actual environment has
become important. A three-dimensional dense map that was created using three …
become important. A three-dimensional dense map that was created using three …
Practical Implementation of Visual Navigation Based on Semantic Segmentation for Human-Centric Environments
This study focuses on visual navigation methods for autonomous mobile robots based on
semantic segmentation results. The challenge is to perform the expected actions without …
semantic segmentation results. The challenge is to perform the expected actions without …
Turning at intersections using virtual lidar signals obtained from a segmentation result
We implemented a novel visual navigation method for autonomous mobile robots, which is
based on the results of semantic segmentation. The novelty of this method lies in its control …
based on the results of semantic segmentation. The novelty of this method lies in its control …
Accuracy improvement of semantic segmentation trained with data generated from a 3d model by histogram matching using suitable references
M Adachi, H Komatsuzaki, M Wada… - … on Systems, Man, and …, 2022 - ieeexplore.ieee.org
Visual navigation based on the results of semantic segmentation requires high classification
accuracy. Previous research has proven that a classifier of semantic segmentation trained …
accuracy. Previous research has proven that a classifier of semantic segmentation trained …
[PDF][PDF] Feasibility study of intersection detection and recognition using a single shot image for robot navigation
T Watanabe, K Matsutani, M Adachi, T Oki… - Journal of Image and …, 2021 - joig.net
This study is an attempt to actualize the autonomous movement of a robot using a navigation
system with a camera, instead of expensive external sensors such as light detection and …
system with a camera, instead of expensive external sensors such as light detection and …
Model-based estimation of road direction in urban scenes using virtual lidar signals
Several proposed schemes have shown remarkable results in autonomous navigation in
actual scenes. However, most schemes are dependent on expensive three-dimensional …
actual scenes. However, most schemes are dependent on expensive three-dimensional …
Spannotation: Enhancing Semantic Segmentation for Autonomous Navigation with Efficient Image Annotation
Spannotation is an open source user-friendly tool developed for image annotation for
semantic segmentation specifically in autonomous navigation tasks. This study provides an …
semantic segmentation specifically in autonomous navigation tasks. This study provides an …