Visual Parking Space Estimation Using Detection Networks and Rule-Based Systems

• Susana De Luelmo ^[1] ; Elena Giraldo Del Viejo ^[1] ; Antonio S. Montemayor ^[1] ; Juan José Pantrigo ^[1]
  1. [1] Universidad Rey Juan Carlos

     Universidad Rey Juan Carlos

     Madrid, España

     
• Localización: Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence: 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, Proceedings, Part II / José Manuel Ferrández Vicente (dir. congr.), José Ramón Álvarez Sánchez (dir. congr.), Félix de la Paz López (dir. congr.), Hojjat Adeli (aut.), 2022, ISBN 978-3-031-06527-9, págs. 583-592
• Idioma: inglés
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• Resumen

  • In this paper we propose a vision-based two-stage parking detection module. The first stage detects vehicles in images based on a deep neural network. Then, a rule-based system determines the car parking spaces in the image. Experimental results show that our proposed algorithm detects parking space but it also obtains a high false positive rate. We plan to combine visual information with other information fonts to face this drawback.