This Project is part of a larger one entitled Autonomous Embedded Navigation System (SENA) developed at Mobile Robotics Lab (LabRoM) of Engineering School of São Carlos (EESC-USP). This project aims the development of solutions that will be embedded in a vehicle and will allow it to move autonomously in urban-like environments. During the development of the SENA project, we faced the special maneuvers problem, i.e. the need of performing maneuvers like U turns, parallel parking, garage maneuver and angled parking spaces. So, this project proposal is focused on the development of a solution for recognize and classify free slots that can, or not, be used for the autonomous parallel parking maneuver. As input data we are planning to use information collected by two lasers sensor (HOKUYO URG-04LX) assembled in a car-like mobile robot. The results will be applied in an algorithm previously developed in the SENA project. This algorithm performs the parallel parking maneuver by using neural networks and the two cars as reference that delimit the parking slot.
News published in Agência FAPESP Newsletter about the scholarship: