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@article{145621,
        author = {Shriyash Shingare and Ranjeet Jagtap and Prasad Rawal and Sohail Kazi},
        title = {Self-Driving Car Expert System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {720-723},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145621},
        abstract = {Artificial intelligence (AI) is the ability of a computer program or a machine to think and learn. It is also a field of study which tries to make machines "smart”. At present we use the term AI for successfully understanding human speech, competing at a high level in strategic game systems (such as Dota2 and Alpha Go), self-driving cars, and interpreting complex data. Some people also consider AI a danger to humanity if it progresses unabatedly. An extreme goal of AI research is to create computer programs that can learn, solve problems, and think logically. In practice, however, most applications have picked on problems which computers can do well. Searching data bases and doing calculations are things computers do better than people. On the other hand, "perceiving its environment" in any real sense is way beyond present-day computing. In the modern era, the vehicles are focused to be automated to give human driver relaxed driving. In the field of automobile various aspects have been considered which makes a vehicle automated. Google, the biggest network has started working on the self-driving cars since 2010 and still developing new changes to give a whole new level to the automated vehicles. In this project we have focused on two applications of an automated car, one in which two vehicles have same destination and one knows the route, where other don't. The following vehicle will follow the target (i.e. Front) vehicle automatically. The other application is automated driving during the heavy traffic jam, hence relaxing driver from continuously pushing brake, accelerator or clutch. The idea described in this project has been taken from the Google car, defining the one aspect here under consideration is making the destination dynamic. This can be done by a vehicle automatically following the destination of another vehicle. Since taking intelligent decisions in the traffic is also an issue for the automated vehicle so this aspect has been also under consideration in this project.},
        keywords = {},
        month = {},
        }