Simulasi Pengontrolan Pergerakan Kendaraan Secara Autonomous Menggunakan Metode Supervised Learning

Today technology is progressing very rapidly including mobile phones, household appliances, transportation, and so on. Technology that continues to progress or develop very rapidly in the field of transportation or four-wheeled vehicles, namely, autonomous cars (autonomous cars). Autonomous car itself is a technological development that utilizes sophisticated sensors that allow cars to drive without requiring a driver or driver to move the car's handlebars. Autonomous cars themselves have sensors including cameras, radar, lidar (detection with light range), and the Global Positioning System (GPS). These sensors allow the car to detect its surroundings to avoid accidents. In this research, the author makes a prototype of an autonomous car equipped with a camera and ultrasonic sensor. The camera in this study as a picture taker. The ultrasonic sensor here is used to maintain a safe distance between the car and the detected object. Objects detected include miniatures / human images, toy cars, miniature red lights, and white lines on the right and left sides of the road. The results show that the car can detect all these objects well with a distance of 40 cm. When more than 40 cm the camera cannot detect objects, because the surrounding conditions or lighting also affect the quality of the images captured by the camera