Utilization of collaborative mapping in parking systems

Nowadays advanced driver-assistance (ADAS) systems are of general use, as they help vehicle drivers while driving or during parking. These systems can perform the parking tasks when the goal configuration is available for the vehicle. However, the urban environment makes the parking lot search an inevitable and unpleasant task, as for ADAS systems a goal configuration is required in order to perform the parking maneuver. The literature provided solutions for the parking lot exploration mainly focus on the use of preinstalled sensors in parking lots. The presented paper proposes an autonomous parking system using alternately bird's eye view maps and community built maps such as Open Street Map. The alternate use of these maps provides the parking lot exploration subsystem for the autonomous parking system. When an additional environmental sensor is installed on the vehicle, making the detection of parking space candidates possible, the use of preinstalled sensors in parking lots becomes unnecessary.