Obstacle Avoidance Vehicle Integrated With Cloud
Avita Katal, Sharad Singhania, Vitesh Sethi · 2020 IEEE International Conference for Innovation in Technology (INOCON) · 2020
In today's world of advanced technology, the use of autonomous items to do the important tasks is growing rapidly. These days most of the firms are using the robots due their excellent performance and reliability. In this paper, we propose an autonomous vehicle in the sense that it detects the obstacle in the path, changes its path to avoid collision and re-captures its original path to reach the destination. Ultrasonic sensors and Infrared sensors play a major role in detecting the obstacles, changing path and re-capturing the original path to reach the destination. The Infrared sensors are also used to detect the depth in order to avoid the damage to the vehicle. This system developed can be operated through the mobile or laptop. To maintain its reliability and scalability, the model is integrated with the cloud services using the Blynk application.