Obstacle Detection Techniques in Outdoor Environment: Process, Study and Analysis

Obstacle Detection Techniques in Outdoor Environment: Process, Study and Analysis

Автор: Yadwinder Singh, Lakhwinder Kaur

Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp

Статья в выпуске: 5 vol.9, 2017 года.

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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.

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Segmentation, Obstacle Detection, Fea-ture Extraction, Thresholding, Image Processing

Короткий адрес: https://sciup.org/15014188

IDR: 15014188

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