Author:
Sanjay S Tippannavar ,Yashwanth S D
Abstract
The frequent human errors while driving causes awful events ending up in significant amount of road accidents. Today's traffic forums insist drivers to pay careful attention to the traffic signals that are simultaneously notified through the different sources. The two of the major effects of reckless driving are increased traffic and fatalities. More accidents occur as a result of common errors made by people, such as talking on the phone or playing loud music while driving. Automated traffic detection and real-time monitoring may significantly enhance and assist the driving safety. The usage of automated traffic detection and real-time monitoring is more important nowadays, as technology is seeking for automation in every area. The potential of autonomous vehicles to travel on highways and roads offers people with a wide range of opportunities, from improving traffic safety to fundamentally altering the way a person gets about. Additionally, the recent increases in accidents, which have been connected to both an increase in the number of automobiles on the road and negligent driving on the part of drivers, it appears that owning a car is now necessary. Self-driving cars have the ability to sense their surroundings as it is enabled with the LiDAR, Radar, GPS, and cameras. Autonomous cars' main benefit is their decreased risk of accidents. If these vehicles are widely available and well-engineered, their reduced fuel use could help in reducing the pollution. The pre-installed features including lane identification, obstacle recognition, and traffic sign detection, enables the car to go independently from one place to another. This review article may be used as a quick guide for professionals experimenting with self-driving cars with various technologies.
Publisher
Inventive Research Organization
Reference15 articles.
1. [1] Md shayeque, pritam mahadev kadam, prashant ghule, aquib khadim shah, and v. S. Rakh. "Working Model of Self Driving Car Using IoT Devices Powered By Machine Learning”, International Research Journal of Modernization in Engineering Technology And Science, volume 5, issue 5, may 2023, www.doi.org/10.56726/irjmets39777
2. [2] Mohiuddin, Syed Ghouse, Mr Dargah Akbar Hussain, and Mohd Anas Ali. "An Efficient Lidar Sensing System For Self-Driving Cars." IJSRET (2022), Volume 7, Issue 5.
3. [3] Raju, B. S., Sanket Shetti, Prakash Poudel Vaibhav, and Manish Kumar. "Self-Driving Car using Neural Network with Raspberry Pi.", Dogo Rangsang Research Journal, Volume 12, Issue 12, Dec 2022.
4. [4] Bhangale, Mayur, Gaurav Dabhade, Akshay Khairnar, and Mamta Bhagat. "Self-driving car to demonstrate real time obstacles & object detection." The Indonesian Journal of Education Research and Technology (IRJET) 3, no. 11 (2016): 2395-0056.
5. [5] Golabhavi, P., and B. Harish. "Self-driving car model using raspberry pi." International Journal of Engineering Research & Technology 9, no. 2 (2020): 176-180.