Orb(光学)
惯性测量装置
计算机科学
同时定位和映射
人工智能
计算机视觉
实时计算
质量(理念)
机器人
移动机器人
认识论
图像(数学)
哲学
作者
Karoly F. Fodor,Viktor Remeli
标识
DOI:10.1109/sami58000.2023.10044540
摘要
In this paper, a comprehensive introduction of ORB-SLAM3 and VINS-Mono is presented. Both visual SLAM (vSLAM) solutions have been tested in real-time under real conditions. For their validation publicly available datasets collected by using high-quality synchronized sensors and a dataset created by the authors have been considered. The latter one contains high-quality reference data captured by an accurate IMU-RTKGNSS system as well as lower quality test data (acquired by our low-cost camera-IMU system) on which the above methods have been tested. The results of the performed evaluation well reflect both the advantages and disadvantages of both methods. This survey highlights also the problems, which arise due to the use of low-cost sensors. We also verified that the ORB-SLAM3 Mono-Inertial method cannot be used with unsynchronized sensors while VINS-Mono can handle the timeshifts between the sensor messages. According to our results, both methods provide the same level of accuracy in case of considering the above mentioned datasets.
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