This study aims to develop an autonomous vehicle to have the efficient lane change and path planning using GIS information. Segmentalizing the global path data, established in advance and adding information on roads to those segments would establish GIS data. GIS data should include information on road lanes, speed limits, traffic lights, crosswalks, speed bumps and traffic signs. Using GIS data, autonomous vehicles would determine whether to change its lane or not when they detect an obstacle. If the autonomous vehicle decides to change its lane, a new path would be generated. On the other hand, if the autonomous vehicle cannot decide whether to change its lane or not using GIS information, it would collide with the obstacle. This study expects that GIS information could substitute several roles of a local sensor, in turn enhancing the autonomous driving of an autonomous vehicle.
['Yong-Geon Choi', 'Kyung-Il Lim', 'Jung-Ha Kim']
Lane change and path planning of autonomous vehicles using GIS