首页 /研究 /Outdoor RGB-D SLAM Performance in Slow Mine Detection
PERCEPTION

Outdoor RGB-D SLAM Performance in Slow Mine Detection

Syed Muhammad Abbas, Abubakr Muhammad

发表年份
2012
引用次数
21

摘要

The introduction of Kinect-style RGB-D cameras has dramatically revolutionized robotics research in a very short span. However, despite their low cost and excellent indoor performance in comparison with other competing technologies, they face some basic limitations which prevent their use in outdoor environments. Perhaps for the first time, we report an outdoor application of Kinect-style cameras in a robotics application. We report the use of benchmark RGB-D SLAM algorithm in a land-mine detection application. We argue that due to the slow nature of mine-detection tasks, basic limitations of RGB-D outdoor performance are overcome or gracefully negotiated. We report results from extensive experimentation in a variety of terrains & lighting conditions for three different types of robots. 1

关键词

RGB color modelArtificial intelligenceRoboticsComputer scienceRobotComputer visionBenchmark (surveying)TerrainGeographyCartography

相关论文

查看 PERCEPTION 分类全部论文