The influence of scientific and technological advancements on our everyday lives and societal living standards must not be overlooked. An increase in the usage of automation leads to the advancement of today’s world. Self-driving cars are autonomous vehicles that can drive themselves without the need for human intervention, and they have the ability to usher in the next decade’s technological revolution. In this project, we have used image processing and machine learning based on Raspberry Pi 3 B+. The visual component that allows the robot to observe its environment is the Pi camera. The Pi camera delivers graphical data to the Raspberry Pi, which is subsequently forwarded to the motor module. This autonomous car is capable of arriving at the required destination by avoiding human errors, following road safety, and also adapts to the environment. The self-driving car which was developed operates well and is unique due to the integration of lane/lane change detection, obstacle detection, traffic light, and sign-detection capabilities. The proposed vehicle represents the future of vehicle industry, allowing drivers to be less concerned about accidents.
Self-driving Car Using Raspberry Pi 3 B+ and Pi Camera
Lect. Notes in Networks, Syst.
2021-12-17
8 pages
Article/Chapter (Book)
Electronic Resource
English