원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
vol.2 no.4
2009.12
pp.51-61
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper describes a three-dimensional terrain mapping and classification technique to allow the operation of mobile robots in outdoor environments using laser range finders. We propose the use of a multi-layer perceptron neural network to classify the terrain into navigable, partially navigable, and non-navigable. The maps generated by our approach can be used for path planning, navigation, and local obstacle avoidance. Experimental tests using an outdoor robot and a laser sensor demonstrate the accuracy of the presented methods.
목차
Abstract
1. Introduction
1.1 Related Works
2. Mapping
2.1 Terrain Mapping
3. Artificial Neural Networks
3.1 Map Classification
4. Results
5. Conclusion
References
1. Introduction
1.1 Related Works
2. Mapping
2.1 Terrain Mapping
3. Artificial Neural Networks
3.1 Map Classification
4. Results
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보
