Výsledky vyhledávání - "YAO Wanqiang"

Akademický článek

Multi sensor adaptive fusion SLAM method for underground mobile robots in coal mines

Autor: MA Aiqiang, YAO Wanqiang

Publikováno v: Gong-kuang zidonghua, Vol 50, Iss 5, Pp 107-117 (2024)

Mobile robots based on simultaneous localization and mapping (SLAM) technology can quickly, accurately, and automatically collect spatial data for spatial intelligent perception and environmental map construction. It is the key to achieving intellige

Externí odkaz: https://doaj.org/article/220a320f8c634b6da5693b99c21583bb

Zobrazit plný text záznamu

Akademický článek

Visual simultaneous localization and mapping algorithm of coal mine underground considering image enhancement

Autor: FENG Wei, YAO Wanqiang, LIN Xiaohu, ZHENG Junliang, XIANGLI Hailong, XUE Zhiqiang

Publikováno v: Gong-kuang zidonghua, Vol 49, Iss 5, Pp 74-81 (2023)

The visual simultaneous localization and mapping (SLAM) algorithm based on the feature point method has certain applications in coal mines. However, due to factors such as uneven lighting, variable lighting, and alternating light and dark areas, the

Externí odkaz: https://doaj.org/article/03c26ef5d7ac4f4db1c82e9b05217b4b

Zobrazit plný text záznamu

Akademický článek

Coal mine roadway environment-oriented LiDAR and IMU fusion positioning and mapping method

Autor: MA Aiqiang, YAO Wanqiang, LIN Xiaohu, ZHANG Liandui, ZHENG Junliang, WU Mouda, YANG Xin

Publikováno v: Gong-kuang zidonghua, Vol 48, Iss 12, Pp 49-56 (2022)

The failure of autonomous navigation, positioning and mapping of the mobile robot is caused by the shotcrete surface and symmetrical roadway in coal mine. In order to solve this problem, a real-time positioning and mapping method based on LiDAR and I

Externí odkaz: https://doaj.org/article/3d527162b465444b9b08fb62b880f5c9

Zobrazit plný text záznamu

Report

Reverse Refinement Network for Narrow Rural Road Detection in High-Resolution Satellite Imagery

Autor: Wang, Ningjing, Wang, Xinyu, Pan, Yang, Yao, Wanqiang, Zhong, Yanfei

The automated extraction of rural roads is pivotal for rural development and transportation planning, serving as a cornerstone for socio-economic progress. Current research primarily focuses on road extraction in urban areas. However, rural roads pre

Externí odkaz: http://arxiv.org/abs/2410.10389