退一步，进两步：学习从 SLAM 跟踪失败中恢复的动作

IF 1.4 4区计算机科学 Q4 ROBOTICS

Advanced Robotics Pub Date : 2024-02-28 DOI:10.1080/01691864.2024.2319144

Ans Hussain Qureshi, Muhammmad Latif Anjum, Wajahat Hussain, Usama Muddassar, Sohail Abbasi

引用次数: 0

摘要

据报道，最先进的视觉 SLAM 经常出现跟踪失败，这阻碍了 SLAM 解决方案在现实世界中的部署。最近，人们开始努力避免跟踪失败。

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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One step back, two steps forward: learning moves to recover from SLAM tracking failures

Tracking failure in state-of-the-art visual SLAM has been reported to be frequent and hampers real-world deployment of SLAM solutions. Very recently, efforts have been made to avoid tracking failur...

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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.