Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Chunran Zheng"'
Publikováno v:
IEEE Robotics and Automation Letters. 6:7469-7476
In this letter, we propose a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses measurements from LiDAR, inertial sensor, and visual camera to achieve robust and accurate state estimation. Our proposed framework is composed
Autor:
Tianshu Fang, Yingchun Li, Chunran Zheng, Liang Huang, Shuai Liu, Feng Xu, Jasmine Xinze Li, Fei Li
Publikováno v:
ACS Applied Materials & Interfaces. 12:23764-23773
Flexible wearable devices have proven to be emerging tools for motion monitoring, personal healthcare, and rehabilitation training. The development of a multifunctional, flexible sensor and the integration of sensors and a smart chip for signal readi
To achieve accurate and robust pose estimation in Simultaneous Localization and Mapping (SLAM) task, multi-sensor fusion is proven to be an effective solution and thus provides great potential in robotic applications. This paper proposes FAST-LIVO, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cadfb5f8a02dab4e2cafeb0947dffe13
http://arxiv.org/abs/2203.00893
http://arxiv.org/abs/2203.00893
Publikováno v:
ICRA
Combining lidar in camera-based simultaneous localization and mapping (SLAM) is an effective method in improving overall accuracy, especially at a large scale outdoor scenario. Recent development of low-cost lidars (e.g. Livox lidar) enable us to exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64a0d42dd7dd7015e7ab716754363fe0
http://arxiv.org/abs/2011.11357
http://arxiv.org/abs/2011.11357