A Concise Survey on Computer Vision in Self-Driving

A Concise Survey on Computer Vision in Self-Driving

UMESH CHANDRA MAKKENA

LALITHA KUMARI P

School of Computer Science and Engineering

VIT-AP University

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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Keywords
computer vision, LiDAR, radar, object detection.