| Dynamic path planning is a method used in general in moving a robot from one point to the next point. This method is developed on autonomous car that has almost the same criteria as a robot through a simulation on a computer. In this final project, programming language used is Python-based programming code that is simulated in Eclipse software. Several simultaneous supporting factors in this autonomous car resulted in the development of the dynamic path planning method. The simulation result factors that support include: the addition of location detection (GPS) and detection of obstructions such as lasers and ultrasonic sensors. Given the two factors above, the autonomous car can move from one point to another with the direction of motion and position that can be determined in accordance with the wishes. In addition, in the course of the car can avoid any obstacles that exist in the vicinity in an effort to maintain security, so autonomous car can get to the destination safely and can return to the original place. |