= PDF Reprint,     = BibTeX entry,     = Online Abstract

Click to download PDF version Click to download BibTeX data Clik to view abstract C.-K. Chang, C. Siagian, L. Itti, Mobile Robot Monocular Vision Navigation Based on Road Region and Boundary Estimation, In: Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1043-1050, Oct 2012. [2012 acceptance rate: 45.0%] (Cited by 64)

Abstract: We present a monocular vision-based navigation system that incorporates two contrasting approaches: region segmentation that computes the road appearance, and road boundary detection that estimates the road shape. The former approach segments the image into multiple regions, then selects and tracks the most likely road appearance. On the other hand, the latter detects the vanishing point and road boundaries to estimate the shape of the road. Our algorithm operates in urban road settings and requires no training or camera calibration to maximize its adaptability to many environments. We tested our system in 1 indoor and 3 outdoor urban environments using our ground-based robot, Beobot 2.0, for real-time autonomous visual navigation. In 20 trial runs the robot was able to travel autonomously for 98.19% of the total route length of 316.60m.

Themes: Beobots


Copyright © 2000-2007 by the University of Southern California, iLab and Prof. Laurent Itti.
This page generated by bibTOhtml on Tue 09 Jan 2024 12:10:23 PM PST