Abstract
Automation in vehicles is essential in present day’s road conditions. Many of the accidents are happening due to wrong behaviour, drowsiness and human inattention. The vehicle drivers are expected to be more attentive during their driving period. As a normal human being, it is usual that sometimes there may be a lapse in attention due to many environmental factors. Therefore, automation in cars is really required to overcome many uncertainties faced in real-time scenarios. This paper explores various automation techniques used in vehicles. Cognitive cars proposed in the paper, functions based on machine learning Algorithms. These cars travel from source to destination without any human intervention. The main objectives included in the paper are lane detection, obstacle detection, road signs detection and traffic lights detection. In near future cognitive cars will be preferred for the modern communities due to its intelligent features and increased safety aspects. It will be an asset of the future generation.
References
- Vinayak Pujari, Dr. Yogeshkumar Sharma and Mr. Sanket Ambre, “Artificial Intelligence in Automobiles: An Overview”, Contemporary Research in India, Special issue (2021): 45-51
- Gonzalo De-Las-Heras, Javier Sánchez-Soriano and Enrique Puertas “Advanced Driver Assistance System (ADAS) Based on Machine Learning Techniques for the Detection and Transcription of Variable Message Signs on Roads” Sensors (2021): 1-18
- Tomasz Dudek and Kamil Pędziwiatr (2021) Safety and the Use of Smart Driver Assistance Systems, European Research Studies Journal, Volume XXIV, (2021):651-665.
- Ziyue Li, Qinghua Zeng and Yuchao Liu “An improved traffic lights recognition algorithm for autonomous driving in complex scenarios” International Journal of Distributed Sensor Networks (2021): 1-17
- Swaroop Balaji, R Sivaprakash S Sabareesh and M Sivasundar (2020) Development of Advanced Driver Assistance Systems for Indian Cars, 3rd International Conference on Advances in Mechanical Engineering (2020) 1-6
- Liyong Wang, Peng Sun, Min Xie, Shaobo Ma, Boxiong Li, Yuchen Shi, and Qinghua Su “Advanced Driver Assistance System(ADAS) for Intelligent Transportation Based on the Recognition of Traffic Cones” Advances in Civil Engineering. No 2020 (2020): 1-8
- Ruturaj Kulkarni, Shruti Dhavalikar and Sonal Bangar “Traffic Light Detection and Recognition for Self Driving Cars Using Deep Learning” 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA)
- Sanju Meena & Om Prakash “The Study on Automated Highway Systems”, Imperial Journal of Interdisciplinary Research (IJIR) No.3. (2017): 959-962
- Keshav Bimbraw, “Autonomous Cars: Past, Present and Future A Review of the Developments in the Last Century, the Present Scenario and the Expected Future of Autonomous Vehicle Technology” Autonomous Vehicle Technology. (2015) 191-198
- Takialddin Al Smadi “Real-time lane detection for driver assistance system”. Circuits and Systems, No. 5 (2014): 201-207.
- M. Li et al., "A High Performance Low Cost CMOS Radar for Advanced Driving Assistance Applications," 2012 International Conference on Connected Vehicles and Expo (ICCVE), 2012, pp. 197-200, doi: 10.1109/ICCVE.2012.43.
- Miao, X.D., Li, S.M. and Shen, H. “On-Board Lane Detection System for Intelligent Vehicle Based On Monocular Vision”. International Journal on Smart Sensing and Intelligent Systems, No. 5 (2012): 957-972.
- Alessio Carullo and Marco Parvis, “An Ultrasonic Sensor for Distance Measurement in Automotive Applications”, IEEE SENSORS JOURNAL, No.1. (2001): 143-147
- Smiley, A.; Brookhuis, K.A. Alcohol, drugs and traffic safety. In Road Users and Traffic Safety; Transportation Research Board: Washington, DC, USA, 1987; pp. 83–104.