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- Title
An Enhancement in Accuracy of Vehicle Detection in Parking Areas Employing Haar-Like Features and AdaBoost Algorithm.
- Authors
Tamim, Tiabur Rahman; Alam, Shariful; Asraf, Amanullah
- Abstract
With the increasing number of vehicles on the road, often it is difficult to find suitable parking spaces in metropolitan cities. It may cause wastage of time as well as traffic congestion if proper parking spaces haven't been preserved. An autonomous parking system can detect empty parking spaces and allow drivers to effectively park in empty parking spaces which require less time and less fuel. This paper has presented an intelligent vision-based approach that discovers vehicles and empty spaces autonomously. We have introduced Haar-like feature cascade classifier trained by a machine learning technique for the vehicle detection process. The proposed system has delivered promising results to the detection accuracy of the vehicles to allow parking places. The vehicle detection accuracy of the proposed system has been validated through simulation. Besides, the proposed approach has made available the optimum threshold value to acquire the best possible detection accuracy. The advantages of the proposed scheme are a) it saves time to get the vehicles parked; b) it provides to get rid of traffic congestion; c) as the driver gets the space immediately, so less energy is required with the proposed approach. Later, a brief comparison of performance metrics among various classifiers is provided.
- Publication
Przeglad Elektrotechniczny, 2021, Vol 97, Issue 9, p135
- ISSN
0033-2097
- Publication type
Academic Journal
- DOI
10.15199/48.2021.09.27