PAROTO project: the benefit of infrared imagery for obstacle avoidance

作者: R. Moreira , M.-P. Bruyas , A. Chapon , Y. Le Guilloux , J. Lonnoy

DOI: 10.1109/IVS.2002.1187932

关键词: Image segmentationRadarObject detectionMotion analysisComputer scienceSegmentationObstacle avoidanceSensor fusionSet (psychology)Artificial intelligenceComputer vision

摘要: Most road accidents are due to a lack of perception the driver about situation. The PAROTO system's objective is help in detecting obstacles and thus allow him better earlier reaction dangerous situations. Data coming from radar an infrared camera merged order take advantage complementary information. Eventually can be alerted after filtering step. This step consists deciding which information relevant for amongst results sensors analysis. We present segmentation technique using particular content images. also motion analysis approach, based on features. Both processes lead first set promising results.

参考文章(2)
G Blanchet, C Nachtergaele, L Alberton, P Van Elslande, SCENARIOS-TYPES DE PRODUCTION DE "L'ERREUR HUMAINE" DANS L'ACCIDENT DE LA ROUTE : PROBLEMATIQUE ET ANALYSE QUALITATIVE Rapport INRETS. ,(1997)
Jianbo Shi, Tomasi, Good features to track computer vision and pattern recognition. pp. 593- 600 ,(1994) , 10.1109/CVPR.1994.323794