A computer vision-based lane detection technique using gradient threshold and hue-lightness-saturation value for an autonomous vehicle | Zendy

Md. Abdullah Al Noman | Zendy; Li Zhai | Zendy; Firas Husham Almukhtar | Zendy; Md. Faishal Rahaman | Zendy; Батырхан Омаров | Zendy; Samrat Ray | Zendy; Shahajan Miah | Zendy; Chengping Wang | Zendy

Open Access

A computer vision-based lane detection technique using gradient threshold and hue-lightness-saturation value for an autonomous vehicle

Author(s) -

Md. Abdullah Al Noman,

Li Zhai,

Firas Husham Almukhtar,

Md. Faishal Rahaman,

Батырхан Омаров,

Samrat Ray,

Shahajan Miah,

Chengping Wang

Publication year - 2022

Publication title -

international journal of power electronics and drive systems/international journal of electrical and computer engineering

Language(s) - English

Resource type - Journals

eISSN - 2722-2578

pISSN - 2722-256X

DOI - 10.11591/ijece.v13i1.pp347-357

Subject(s) - hue , artificial intelligence , computer vision , computer science , thresholding , visibility , line (geometry) , pedestrian detection , road surface , pedestrian , geography , image (mathematics) , mathematics , engineering , civil engineering , geometry , archaeology , meteorology

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