A. Diosi, A. Remazeilles, S. Segvic, F. Chaumette. Experimental evaluation of an urban visual path following framework. In 6th IFAC Symposium on Intelligent Autonomous Vehicles, IAV'07, Toulouse, France, September 2007.
Download Hal paper:
Download paper:
Adobe portable document (pdf) 
Copyright notice:
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. This page is automatically generated by bib2html v217, © Inria 2002-2015, Projet Lagadic
Robot cars will likely play an important role in the future. In this paper a visual path following framework for urban environments is experimentally evaluated. The framework's hybrid topological-metric approach for representing the environment provides stable interest points for image-based visual servoing during navigation. The presented experimental results with a robot car show that the framework is robust against changing illumination and moving objects covering up parts of the field of view of the monocular camera. Furthermore, there is no need to perform bundle adjustment nor to use odometry
@InProceedings{Diosi07a,
Author = {Diosi, A. and Remazeilles, A. and Segvic, S. and Chaumette, F.},
Title = {Experimental evaluation of an urban visual path following framework},
BookTitle = {6th IFAC Symposium on Intelligent Autonomous Vehicles, IAV'07},
Address = {Toulouse, France},
Month = {September},
Year = {2007}
}
Get EndNote Reference (.ref)
|
| Lagadic
| Map
| Team
| Publications
| Demonstrations
|
Irisa - Inria - Copyright 2009 © Lagadic Project |
