ABSTRACT
Parking lots are no longer practical solutions but become another
topic of urban mobility problem due to the difficulty in finding available
parking spaces. This work proposes a parking space detection
system to assist drivers. The system detects unoccupied vacancies
by image processing techniques and convolutional neural networks.
Vacancies are detected through horizontal markings and by recognizing
spaces with or without vehicles. Finally, a mobile application
makes available to the user the occupancy status of vacancies. Initial
results showed that the system detects vacancies with visible
markings during the daytime. To improve detection in adverse
situations, the vacancy detection algorithm is being improved.