Abdallah Bader
Visual Based Control Approach for Autonomous Parking.
Rel. Stefano Alberto Malan. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2019
|
Preview |
PDF (Tesi_di_laurea)
- Thesis
Licence: Creative Commons Attribution Non-commercial No Derivatives. Download (3MB) | Preview |
Abstract
Autonomous valet parking requires roaming the vehicle within the valet and as it arrives close enough to the target parking spot, a final maneuver is performed. In this research, such a maneuver is performed within a visual servoing framework; the relative pose of the parking spot is estimated relying on a monocular camera feed within a closed loop control system. Two control algorithms are used to solve the motion control problem, one is a cascade proportional controller with which the parking can be initiated from a defined region, another is an optimization-based control law that is tailored for L curve parking cases.
Control system is developed within MATLAB and Simulink relying on synthetic image of a parking spot such that an online imagery feed is acquired
Relators
Academic year
Publication type
Number of Pages
Course of studies
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modify record (reserved for operators) |
