VB-T PHD-SLAM: efficient SLAM under heavy-tailed noise

IF 1.4 4区计算机科学 Q4 ROBOTICS

Advanced Robotics Pub Date : 2024-07-30 DOI:10.1080/01691864.2024.2384425

Han Zou, Sunyong Wu, Qiutiao Xue, Xiyan Sun, Bing Wang

引用次数: 0

Abstract

To address the challenge of simultaneous localization and mapping (SLAM) in the presence of heavy-tailed noise, this paper introduces a robust probability hypothesis density (PHD) SLAM algorithm. T...

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VB-T PHD-SLAM：重尾噪声下的高效 SLAM

为了应对重尾噪声下的同步定位与映射（SLAM）挑战，本文介绍了一种鲁棒概率假设密度（PHD）SLAM 算法。T...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advanced Robotics 工程技术-机器人学

CiteScore

4.10

自引率

20.00%

发文量

102

审稿时长

5.3 months

期刊介绍： Advanced Robotics (AR) is the international journal of the Robotics Society of Japan and has a history of more than twenty years. It is an interdisciplinary journal which integrates publication of all aspects of research on robotics science and technology. Advanced Robotics publishes original research papers and survey papers from all over the world. Issues contain papers on analysis, theory, design, development, implementation and use of robots and robot technology. The journal covers both fundamental robotics and robotics related to applied fields such as service robotics, field robotics, medical robotics, rescue robotics, space robotics, underwater robotics, agriculture robotics, industrial robotics, and robots in emerging fields. It also covers aspects of social and managerial analysis and policy regarding robots. Advanced Robotics (AR) is an international, ranked, peer-reviewed journal which publishes original research contributions to scientific knowledge. All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees.