International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 9, No. 5, 8 May 2017
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Obstacle Detection Techniques in Outdoor Environment: Process, Study and Analysis
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Author(s)
Index Terms
Segmentation, Obstacle Detection, Fea-ture Extraction, Thresholding, Image Processing
Abstract
Obstacle detection is the process in which the upcoming objects in the path are detected and collision with them is avoided by some sort of signalling to the visually impaired person. In this review paper we present a comprehensive and critical survey of Image Processing techniques like vision based, ground plane detection, feature extraction, etc. for detecting the obstacles. Two types of vision based techniques namely (a) Monocular vision based approach (b) Stereo Vision based approach are discussed. Further types of above described ap-proaches are also discussed in the survey. Survey dis-cusses the analysis of the associated work reported in literature in the field of SURF and SIFTS features, mo-nocular vision based approaches, texture features and ground plane obstacle detection.
Cite This Paper
Yadwinder Singh, Lakhwinder Kaur,"Obstacle Detection Techniques in Outdoor Environment: Process, Study and Analysis", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.9, No.5, pp.35-53, 2017. DOI: 10.5815/ijigsp.2017.05.05
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