Abstract
Now a days, traffic congestion and collisions are the vital issues in road traffic safety control. Autonomous vehicles provide a way of solution to avoid this problem without any user interruption efficiently and economically. This proposed paper utilizes an innovative technique to build up a smart autonomous system for collision avoidance and obstacle detection of a vehicle where the distance of obstacle is measured by the ultrasonic sensor for controlling the motor speed with the implementation of the Controller Area Network (CAN) protocol. When the distance of an obstacle is measured using an ultrasonic sensor, then CAN protocol sends a message to minimize the speed of the motor and the steering movement is controlled to move along no obstacle direction. The proposed system is attaining high accuracy with the implementation of Arduino UNO, IoT modules and CAN based serial communications protocol that evaluates the position of an obstacle then controls the time of impact of collision.
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Biswal, A.K., Singh, D., Tripathy, A.K., Pattanayak, B.K. (2022). Smart Autonomous Collision Avoidance and Obstacle Detection Using Internet of Things (IoT) and Controller Area Network (CAN) Protocol. In: Sahoo, J.P., Tripathy, A.K., Mohanty, M., Li, KC., Nayak, A.K. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 302. Springer, Singapore. https://doi.org/10.1007/978-981-16-4807-6_6
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DOI: https://doi.org/10.1007/978-981-16-4807-6_6
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