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Vanishing Point Detection Under Foggy Weather with Edge-Based Approach

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2018) (AI2SD 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 915))

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Abstract

Vanishing Point detection is one of the vision-based approaches used for autonomous vehicles and Driver Assistance Systems DAS. It is principally useful for detecting the road needed in vehicle navigation and tracking. Like other methods based on vision, the vanishing point detection approach is deeply sensitive to the presence of bad weather as fog. In this paper, we present an efficient edge-based approach for detecting the vanishing point of road scene under foggy weather based on a combination of an adaptive Canny method for edge detection, and the Hough Transform for straight line extraction. The optimal vanishing point is estimated by applying a k-mean clustering on the candidate points obtained by the straight lines intersection. We tested our approach on 731 real and synthetic images, where the experimental results show that the proposed approach for detecting the vanishing point under foggy weather gives good results.

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Authors and Affiliations

  1. Laboratory of Information and Communication Technology LabTIC, National School of Applied Sciences ENSAT, University Abdelmalek Essaadi UAE, Tanger, Morocco

    Salma Alami & Abdelhak Ezzine

Authors
  1. Salma Alami
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  2. Abdelhak Ezzine
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Correspondence to Salma Alami .

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Editors and Affiliations

  1. Faculty of Sciences and Techniques, Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

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Alami, S., Ezzine, A. (2019). Vanishing Point Detection Under Foggy Weather with Edge-Based Approach. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). AI2SD 2018. Advances in Intelligent Systems and Computing, vol 915. Springer, Cham. https://doi.org/10.1007/978-3-030-11928-7_47

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