SIIoT: A Shortest Path Estimation and Obstacle Avoidance System For Autonomous Cars
Tanmay Chakraborty, Soumya Kanti Datta · 2018
Autonomous cars are the next-generation connected cars and are receiving increased attention from both the academia and industry. Among several open research directions in such cars, two most important are the shortest path estimation and obstacle avoidance system. This paper presents a Swarm Intelligence (SI), Cloudlet and IoT based approach to address both the challenges. We present an Ant Colony Optimization algorithm for the shortest route estimation and vector field based collision avoidance system for future autonomous cars. The novel aspect of this work is in integrating the mentioned mechanisms into a Cloudlet based IoT architecture for the autonomous cars. We have performed extensive simulations of the presented approaches, described the results and performance analysis validating the approaches.