Author:
Hosoda Yuki, ,Sawahashi Ryota,Machinaka Noriaki,Yamazaki Ryota,Sadakuni Yudai,Onda Kazuya,Kusakari Ryosuke,Kimba Masaro,Oishi Tomotaka,Kuroda Yoji
Abstract
This paper presents a novel autonomous navigation system. Our proposed system is based on a simple map (an Edge-Node Graph, which is created from an electronic map). This system consists of “Localization,” which estimates which edge is on the Edge-Node Graph, “Environmental Recognition,” which recognizes the environment around the robot, and “Path Planning,” which avoids objects. Since the robot travels using the Edge-Node Graph, there is no need to prepare an environmental map in advance. In addition, the system is quite robust, since it relies less on prior information. To show the effectiveness of our system, we conducted experiments on each elemental technology as well as some traveling tests.
Publisher
Fuji Technology Press Ltd.
Subject
Electrical and Electronic Engineering,General Computer Science
Reference19 articles.
1. R. Kümmerle et al., “Autonomous robot navigation in highly populated pedestrian zones,” J. of Field Robotics, Vol.32, No.4, pp. 565-589, 2015.
2. P. Ruchti et al., “Localization on OpenStreetMap data using a 3D Laser Scanner,” IEEE Int. Conf. on Robotics and Automation (ICRA), May 26-30, 2015.
3. M. Saito et al., “Pre-Driving Needless System for Autonomous Mobile Robots Navigation in Real World Robot Challenge 2013,” J. Robot. Mechatron., Vol.26, No.2, pp. 185-195, 2014.
4. S. Muramatsu et al., “Mobile Robot Navigation Utilizing the WEB Based Aerial Images Without Prior Teaching Run,” J. Robot. Mechatron., Vol.29, No.4, pp. 697-705, 2017.
5. Y. Hosoda et al., “Intersection Detection based on Shape Information with Semantic Information,” SICE System Integration Division Annual Conf. (SI2017), December 20-22, 2017.
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献