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Dr Bikasih Thapa & Dr Maheswar Prasad (Nepal) - Hideo Wada MD PhD (japan) - Dr a Lavra Castrocatesana (Mexico) - Dr Mrs N.M. Hettiarachechui (Srilanka) - Dr Jorge Aldrete Velasco (Mexico) - Prof Hans Peter Kohler (Switzerland) - Dr Hermanus Suhartono S Sp.OG(K) PhD - Dr Isabel Pinheiro (Portugal) - Dr Suranga (Srilanka) - Jovia Dino Jansen Amsterdam,Holand - Hideo Wada MD PhD University Graduate School of Medicine Departement of Moleculer and Laboratory Medicine Japan - DR Bikash Thapa Internal Medicine Nepal University - DR Maheswar Prasad Internal Medicine Nepal University - Dr a Lavra Castro Castresana Colegio de Medicina interna de Mexico - Dr Suransa Manilgama University of Srilanka Internal Departement Medicine - Dr Mrs N.M. Hettiarachechui University of Medicine Srilanka - Dr Jorge Aldrete Velaso .Colegio de Medicina Interna de Mexico - Prof Hans Peter Kholer M.D FACD Profesor of Medicine University ot Switzerland - Dr Ramezan Ali Atace . Baqiyatallah University of Medical Sciences Departement of Micrology Tehran Iran - Ezekiel Wong Toh Yoon Dr. Gastroenterology of Japan - D Eric Beck,MD Bethesda Hospital Capitol Boelevard St Paul USA - Dr Emine Guderen Sahin Istambul University of Internal Medicine Turky - Dr Selmin Toplan Istambul University - Dr Nicholas New Australia - Dr Kughan Govinden. Tropical Infection of Internal Medicine Malaysia - Dr Godfrey M Rwegerera Princes Marina Hospital Bostwana -

Title : NOVEL APPROACH FOR ROAD DETECTION FROM AN IMAGE BY USING HOUGH TRANSFORMATION SPACE AND VANISHING POINT

Author : KUMMARA RANGA SWAMY, K BALAJI SUNIL CHANDRA, VIJAYA BHASKAR MADGULA

Abstract :

A sensor is attached to the vehicle's roof while it's in motion; this allows it to capture images of the road, which might be used in an autonomous driving system. The roadways shown in these images may not necessarily be exactly flat, have sharply defined borders, or adhere to any established patterns. Methods such as edge detection, Hough transformation space, and vanishing point detection might be used for autonomous vehicle route recognition. So that it can recognise roads in the freshly processed picture from the vehicle, we normally train our model with hundreds of photographs of various roads. This

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Dr. Arend L Mapanawang, Sp.PD, FINASIM, PhD

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