著者

赤井 直紀 尾崎 功一

出版者

一般社団法人 日本機械学会

雑誌

ロボティクス・メカトロニクス講演会講演概要集 2015 (ISSN:24243124)

巻号頁・発行日

pp._2A2-M05_1-_2A2-M05_4, 2015-05-17 (Released:2017-06-19)

---

A SLAM (Simultaneous Localization and Mapping) problem is major in mobile robotics field about past two decades. In order to solve the problem, a camera and a LIDAR (Light Detection and Ranging) are generally used. In contrast, this paper proposes a new solution for the problem using a magnetic sensor. Our method is simple since an observation model in RBPF (Rao-Blackwellized Particle Filter)-SLAM is replaced by that of a magnetic sensor. However, magnetic sensor-based SLAM has a problem that is so narrow measurement range of the sensor. To deal with the problem, we use a heuristic method to determine surround magnetic field. We conducted experiments in actual outdoor environments including loops and verified its accuracy by using a LIDAR. Through the experiments, it was shwon that our method can close loops and build consistent maps; magnetic and geometric.

著者

赤井 直紀 モラレス ルイス 洋一 平山 高嗣 村瀬 洋

出版者

公益社団法人 計測自動制御学会

雑誌

計測自動制御学会論文集 (ISSN:04534654)

巻号頁・発行日

vol.55, no.11, pp.745-753, 2019 (Released:2019-11-20)

参考文献数

29

---

This paper presents a localization approach that simultaneously estimates a robot's pose and class of sensor observations, where “class” categorizes the sensor observations as those obtained from known and unknown objects on a given geometric map. The proposed approach is implemented using Rao-Blackwellized particle filtering algorithm. The robot's pose can be robustly estimated utilizing sensor observations obtained from the only known objects by the simultaneous estimation. The proposed approach is efficient in terms of computational complexity because its complexity is same as that of the likelihood field model. Performance of the proposed approach was shown through experiments using a 2D LiDAR simulator.

著者

赤井 直紀 Sam Ann Rahok 片寄 浩平 島田 遼 井上 一道 尾崎 功一

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.32, no.4, pp.395-402, 2014 (Released:2014-06-15)

参考文献数

11

被引用文献数

2 5

---

In practical use of automatic guided vehicles, magnetic markers are widely used. However, an approach of which pattern of magnetic intensity in usual environment is defined as landmarks is not investigated. This reason is that it is difficult to be known environmental magnetic field since magnetic intensity is invisible. This paper shows investigation of environmental magnetic field in actual environment and describes implementation of the magnetic based navigation, magnetic navigation method. As the magnetic investigation, magnetic intensity of the mounted devices in a mobile robot was measured, and condition of efficient layout of the devices was obtained. By the measurement of environmental magnetic field in mentioned condition, pattern of magnetic intensity that is suitable as a landmark is shown in this paper. The mobile robot records magnetic intensity on its travel path as magnetic map, and achieves stable navigation based on the magnetic map. In this paper, performance of the magnetic navigation method is shown by an experiment.

著者

赤井 直紀 竹内 栄二朗 山口 拓真 モラレス ルイス 洋一 吉原 佑器 奥田 裕之 鈴木 達也 二宮 芳樹

出版者

公益社団法人 自動車技術会

雑誌

自動車技術会論文集 (ISSN:02878321)

巻号頁・発行日

vol.49, no.3, pp.675-681, 2018 (Released:2018-05-25)

参考文献数

19

被引用文献数

1

---

自動運転を行うためには,走行すべき経路との相対位置関係や,注視すべき物体の情報を得ることが有用であり,そのためにも,自己位置推定は重要な技術である.本稿では,デッドレコニングとマルチレイヤーLIDARによる位置推定結果を融合することで,一般道における高精度位置推定,および自動運転を達成したので報告する.