The NREC designed, developed and tested a fully autonomous system capable of following pre-taught paths while detecting and avoiding obstacles.
Having a system capable of detecting obstacles and terrain hazards would significantly increase the safety of both manned and unmanned agricultural vehicles. This project focuses on perception to provide machine awareness of environment as an element for safeguarding agricultural vehicles. Our approach is to use modern machine learning techniques and sensor fusion for building a robust obstacle detection system that can be adapted easily to different environments and operating conditions.
Displaying 6 Publications
2005
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '05), pp. 1 - 8, June, 2005
2004
Conference Paper, Proceedings of (ICRA) International Conference on Robotics and Automation, Vol. 1, pp. 665 - 671, April, 2004
Conference Paper, Proceedings of (ICRA) International Conference on Robotics and Automation, Vol. 1, pp. 108 - 114, April, 2004
Conference Paper, Proceedings of (ICRA) International Conference on Robotics and Automation, Vol. 1, pp. 96 - 101, April, 2004
2003
Workshop Paper, AIPR '03 32nd Applied Imagery Recognition Workshop, pp. 255 - 262, October, 2003
Conference Paper, Proceedings of 4th International Conference on Field and Service Robotics (FSR '03), pp. 83 - 92, July, 2003
current staff
past staff
- Nicolas Vandapel
past contact
- Thomas Gordon