Traffic Cones Detection for Autonomous Ground Vehicle

Jelajah V-18 is an autonomous vehicle prototype where can navigate autonomously using Global Positioning System (GPS) for long-distance navigation and find out the surrounding conditions to short distances cameras proximity sensors. The also has a system that search recognize static object image processing system. This research focuses on detection of objects in form traffic cones (Hue, Saturation, Value) HSV method by color, then with binary will be converted back get edges shape contour object. Based implementation experiments conducted, robot detect cone success rate 100 percent at distance 1-6 meters 35.67 7 meters.