A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Improvements in accuracy of single camera terrain classification
2013
2013 16th International Conference on Advanced Robotics (ICAR)
Autonomous terrain classification is an important requirement for robotic applications for the outdoor and more so for off-road systems. Different technique have been developed in recent years mainly relying on either color features or on texture-based features for classification. We present an approach which combines the two approaches and delivers an overall increase in performance and accuracy. We describe the computational framework, training dataset, off-line learning and real-time
doi:10.1109/icar.2013.6766493
dblp:conf/icar/AbbasMMB13
fatcat:xg5r5y7nknbypohswbyqczvpcq