DocumentCode :
3482739
Title :
Thermal imaging for autonomous vehicle in outdoor scenes
Author :
Caillas, Claude
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
1990
fDate :
3-6 Jul 1990
Firstpage :
651
Abstract :
Describes methods that use thermal imaging techniques for identifying different types of materials in outdoor scenes. First, the author analyzes how computer vision techniques applied to thermal images allow discriminating materials such as rock and sand. Second, he presents the model developed to calculate the temperature of materials. By applying this model, he shows that it is possible to determine a physical characteristic of the material, the thermal inertia. Third, as an application, he examines how an autonomous robot can use these techniques to explore other planets. In particular, he shows how a legged robot can use thermal inertia and so select where to place its foot next or which material to sample
Keywords :
aerospace control; computer vision; infrared imaging; mobile robots; pattern recognition; autonomous robot; autonomous vehicle; computer vision; legged robot; mobile robots; pattern recognition; space robotics; thermal imaging; thermal inertia; Image analysis; Image segmentation; Layout; Legged locomotion; Mars; Mobile robots; NASA; Planets; Remotely operated vehicles; Temperature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems '90. 'Towards a New Frontier of Applications', Proceedings. IROS '90. IEEE International Workshop on
Conference_Location :
Ibaraki
Type :
conf
DOI :
10.1109/IROS.1990.262477
Filename :
262477
Link To Document :
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