Sensor technologies and simultaneous localization and mapping (SLAM)
TJ Chong, XJ Tang, CH Leng, M Yogeswaran… - Procedia Computer …, 2015 - Elsevier
Procedia Computer Science, 2015•Elsevier
This paper presents a comprehensive review on sensor modalities currently in used for
solving the Simultaneous Localization and Mapping (SLAM) problem. The review focuses
on SLAM for mobile robots in a variety of environments. The strengths and weaknesses of
acoustic modality sensors such as ultrasonic and sonar sensors, laser range finders, visual
sensors such as stereo vision sensors, and RGB-D sensors like the Microsoft Kinect and the
Asus Xtion Pro Live are compared based on current usage in published research papers …
solving the Simultaneous Localization and Mapping (SLAM) problem. The review focuses
on SLAM for mobile robots in a variety of environments. The strengths and weaknesses of
acoustic modality sensors such as ultrasonic and sonar sensors, laser range finders, visual
sensors such as stereo vision sensors, and RGB-D sensors like the Microsoft Kinect and the
Asus Xtion Pro Live are compared based on current usage in published research papers …
Abstract
This paper presents a comprehensive review on sensor modalities currently in used for solving the Simultaneous Localization and Mapping (SLAM) problem. The review focuses on SLAM for mobile robots in a variety of environments. The strengths and weaknesses of acoustic modality sensors such as ultrasonic and sonar sensors, laser range finders, visual sensors such as stereo vision sensors, and RGB-D sensors like the Microsoft Kinect and the Asus Xtion Pro Live are compared based on current usage in published research papers. Based on this review, we propose that RGB-D sensors have unique advantages which make them particularly suitable for SLAM problems.
Elsevier
以上显示的是最相近的搜索结果。 查看全部搜索结果