دورية أكاديمية

Robot indoor navigation point cloud map generation algorithm based on visual sensing

التفاصيل البيبلوغرافية
العنوان: Robot indoor navigation point cloud map generation algorithm based on visual sensing
المؤلفون: Zhang Qin, Liu Xiushan
المصدر: Journal of Intelligent Systems, Vol 32, Iss 1, Pp 032171-6 (2023)
بيانات النشر: De Gruyter, 2023.
سنة النشر: 2023
المجموعة: LCC:Science
LCC:Electronic computers. Computer science
مصطلحات موضوعية: visual sensor, inertial measurement unit, robot indoor navigation, point cloud map, visual slam algorithm, 68t07, Science, Electronic computers. Computer science, QA75.5-76.95
الوصف: At present, low-cost Red Green Blue Depth (RGB-D) sensors are mainly used in indoor robot environment perception, but the depth information obtained by RGB-D cameras has problems such as poor accuracy and high noise, and the generated 3D color point cloud map has low accuracy. In order to solve these problems, this article proposes a vision sensor-based point cloud map generation algorithm for robot indoor navigation. The aim is to obtain a more accurate point cloud map through visual SLAM and Kalman filtering visual-inertial navigation attitude fusion algorithm. The results show that in the positioning speed test data of the fusion algorithm in this study, the average time-consuming of camera tracking is 23.4 ms, which can meet the processing speed requirement of 42 frames per second. The yaw angle error of the fusion algorithm is the smallest, and the ATE test values of the algorithm are smaller than those of the Inertial measurement unit and Simultaneous-Localization-and-Mapping algorithms. This research algorithm can make the mapping process more stable and robust. It can use visual sensors to make more accurate route planning, and this algorithm improves the indoor positioning accuracy of the robot. In addition, the research algorithm can also obtain a dense point cloud map in real time, which provides a more comprehensive idea for the research of robot indoor navigation point cloud map generation.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2191-026X
العلاقة: https://doaj.org/toc/2191-026XTest
DOI: 10.1515/jisys-2022-0258
الوصول الحر: https://doaj.org/article/4ba4786989e445b5a568624debe8307dTest
رقم الانضمام: edsdoj.4ba4786989e445b5a568624debe8307d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2191026X
DOI:10.1515/jisys-2022-0258