Abstract
Transportation is the most essential need of human beings. Making cars smart will be a breakthrough, where they automatically learn to drive on streets. We will look forward to map the road by itself and self-learn the survival on the roads. Self-driving vehicles detect and avoid obstacles and objects. It may happen that while driving a person suffers from a heart attack or severe headache, then based on his facial expressions, our system will automatically send SMS to his family members. Also, if the user is feeling sleepy, using mobile phones, or looking outside for long time mistakenly, then our system will raise an alarm in such situations. Autonomous car is making sure of reaching its last stop safely and cleverly, thus escaping the risk of human mistakes and taking the necessary decisions related to the real world. Lane- and obstacle-detection algorithms are used to provide the required control to the car.
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Chaudhari, A., Shah, D., Mungekar, K., Wani, V. (2019). Design and Implementation of Car for Smart Cities—Intelligent Car Prototype. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 898. Springer, Singapore. https://doi.org/10.1007/978-981-13-3393-4_50
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DOI: https://doi.org/10.1007/978-981-13-3393-4_50
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