Towards a Model of Car Parking Assistance System Using Camera Networks: Slot Analysis and Communication Management

Karim Hammoudi (1) , Adnane Cabani (2) , Mahmoud Melkemi (1) , Halim Benhabiles (3) , Feryal Windal (4)

1 LMIA - Laboratoire de Mathématiques Informatique et Applications
2 Pôle Instrumentation, Informatique et Systèmes
3 LIFL - Laboratoire d'Informatique Fondamentale de Lille
4 ISEN-Lille - Institut Supérieur de l'Electronique et du Numérique - Lille

Nowadays, finding an available parking slot in urban environment is become more and more fastidious. In this paper, we present a model of car parking assistance system by particularly using camera networks. Such a system notably includes two research-related milestones, namely the visual detection and the communication of parking information. Hence, this paper presents a computer vision workflow permitting to detect available parking slots. Then, a strategy is proposed in order to optimally communicate to the drivers the locations of the detected available parking slots. Finally, experimental results and evaluations show the feasibility and the potential of the proposed model.

Keywords: Machine learning; Vehicle Routing; Optimal path finding; Parking lot monitoring; Hand crafted image features; LBP

Domains: Computer Science [cs]; Distributed, Parallel, and Cluster Computing [cs.DC]

Karim Hammoudi, Adnane Cabani, Mahmoud Melkemi, Halim Benhabiles, Feryal Windal. Towards a Model of Car Parking Assistance System Using Camera Networks: Slot Analysis and Communication Management. 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), Jun 2018, Exeter, United Kingdom. pp.1248-1255, ⟨10.1109/HPCC/SmartCity/DSS.2018.00210⟩. ⟨hal-02301415⟩