Finance

Pattern recognition (psychology)

Virus

HSL and HSV

Biology

Operating system

Artificial intelligence

Virology

Position (finance)

Economics

Object detection

Computer science

Process (computing)

Computer vision

Jurnal Ilmiah Teknik Elektro Komputer dan Informatika

Nowadays, an a utonomous vehicle is one of the fastest-growing technologies. In its movements, the autonomous vehicle requires a good navigation system to run on the specified lane. One sensor that is often used in navigation systems is the camera. However, this camera is constrained by the process and its reading, especially to detect roads that are suitable for the vehicle's position. Thus, t his research was conducted to detect the road and distance of nearby objects using the HSV color space method. From the test results, this research succeeded in detecting roads with an accuracy of 78.012 %, and an accuracy of 80% for the safe/unsafe area detection . The results also showed that the method achieved an accuracy of 80% and 74.76% for object detection and object distance detection , respectively. The results of this research implied that the HSV method was quite good with fairly high accuracy to detect roads and vehicles.

Road and Vehicles Detection System Using HSV Color Space for Autonomous Vehicle