E-viri
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Chamoli, Vivek; Gowri, R; Dubey, V P; Kandpal, Jyoti; Joshi, Jyoti; Kumar, Divesh
2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT), 2023-March-17Conference Proceeding
This research involves using an object recognition system and an ancillary image sensor to detect lane markers and zebra crossings on a roadway in a vehicle. To perform this detection, these steps have been followed: take a picture of the scene, digitize it, normalize it, define a search area within it, look for lane and zebra markers within it. The Lane Tracking for Driving System was created to assist drivers in making lane departure decisions, to lessen concentration breaks, and to avoid accidents while driving. To offer a way to detect a specific traffic violation-namely, stopping on a zebra crossing at a traffic signal rather than following behind it-and to offer a workaround. In the proposed work, systems are implemented and improved using adaptive algorithms. MATLAB's image processing toolbox is used to design and implement the proposed algorithm.
Vnos na polico
Trajna povezava
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Faktor vpliva
Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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