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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM45087

A Concise Survey on Computer Vision in Self-Driving

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM45087

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem45087

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

UCM

UMESH CHANDRA MAKKENA

LKP

LALITHA KUMARI P

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Abstract

In this paper, the computer vision with self-driving cars has been discussed. The main points which discussed here are the units of the self driving car, the core components of self- driving cars, Safety problems of road vehicles are also presented. In this modern world, the technology is growing very fast. One of the path changing technology which is been implementing are Self-driving cars [1]. A Self Driving car is a vehicle that is capable of sensing its environment and able to do the necessary navigation without the human input. These self-driving cars are being preferred more by the people because less work and safe journey. The vision-based system can effectively detect and accurately recognize multiple objects on the road, such as traffic signs, traffic lights, and pedestrians. The main idea which has been discussed here is General in-vehicle driver support system architecture [2]. To detect and track vehicles and other kinds of objects often with different sensors are used. Thus, giving humans the capability of using the self- driving vehicle for daily usage will change the current scenario of transportation and helps to improve the user driving experience. .

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Cite This Article

UMESH CHANDRA MAKKENA, LALITHA KUMARI P, "A Concise Survey on Computer Vision in Self-Driving," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/ijsrem45087

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Publication Date

4/19/2025

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Double-Blind Peer Review

Review Rounds: 2

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