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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 1 | Month- January 2026
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Published Paper Details:
Paper Title
AUTONOMOUS RACING CAR WHICH CAN DETECT THE TRACK AND SIGN BOARDS USING MACHINE LEARNING
Authors
Syed Shadullah Sartaj, Mohammed Jaser Ali Talha, Mohammed Abid Ali, Mohammed Shah Faisal
Keywords
Raspberry pi3, SD card, Pi camera. L293d motor driver, DC motor. Machine learning
Abstract
The rise of technology has drawn attention to self-driving cars. Although a commercial autonomous vehicle still have not appeared on market, autonomous race cars are already fighting for the podium. One of the leading series is Roborace, a special series under FIA specifically to autonomous racing. Season alpha of the series was held in 2019 with two teams competing, Technical University of Munich and Arrival. Autonomous driving functionality contains a holistic software structure containing multiple individual driving functions. The main aim of this paper is to design a Racing Car, which can detect the track and sign boards using image processing and machine learning. To develop this system using raspberrypi3 processor and pi camera.
IJCRT's Publication Details
Unique Identification Number - IJCRT2111038
Paper ID - 212921
Page Number(s) - a304-a308
Pubished in - Volume 9 | Issue 11 | November 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Syed Shadullah Sartaj, Mohammed Jaser Ali Talha, Mohammed Abid Ali, Mohammed Shah Faisal, "AUTONOMOUS RACING CAR WHICH CAN DETECT THE TRACK AND SIGN BOARDS USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 11, pp.a304-a308, November 2021, Available at :http://www.ijcrt.org/papers/IJCRT2111038.pdf
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Volume 14 | Issue 1
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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