A Comprehensive Study of Sensor and Camera Fusion for Real-Time Parking Space Detection

Year : 2026 | Volume : 13 | 01 | Page :
    By

    Ravikant Nanwatkar,

  • Aayush Talware,

  • Sujay Sonar,

  • Atharva Joshi,

  • Ayush Ahhiroa,

Abstract

Due to the rapid growth in urban vehicles density, there have been major problems in the effective management of parking space that has caused congestion, more travelling time, wastage of fuel and environmental pollution. Conventional parking systems are very ineffective, as they are based on manual surveillance and cannot provide drivers with much real-time information. To overcome these challenges, the present paper explores the design, development, and operation of a Smart Parking System, using the current technologies like Internet of Things (IoT), sensor networks, cloud computing, and mobile applications. The system is a combination of intelligent sensors to capture the real-time occupancy of parking space that is processed and relayed to a central server. The system uses data analytics and mobile connectivity, providing information on the availability of the closest vacant spot and the best route to take in real-time to the driver, which saves the time of search and congestion in traffic. Also, the suggested system will have automated payment systems, user authentication, and reservations as an addition to an overall parking experience. A controlled test model was created and tested using a prototype model to measure the parameters of the test including accuracy, latency, convenience to the user and scalability. Findings reveal a high level of efficiency in parking and shortened time of vehicle idling as opposed to the traditional systems. The observations identify the prospective of Smart Parking Systems to add to the sustainable urban motion and intelligent transportation infrastructures. The future work will include the large-scale implementation, interdependence with smart city platforms, as well usage of machine learning as predictive parking analytics.

Keywords: Smart Parking, Parking Availability, Parking Reservation, IoT Parking System, Real-Time Parking Detection, Intelligent Parking Management, Parking Space Optimization

How to cite this article:
Ravikant Nanwatkar, Aayush Talware, Sujay Sonar, Atharva Joshi, Ayush Ahhiroa. A Comprehensive Study of Sensor and Camera Fusion for Real-Time Parking Space Detection. Trends in Transport Engineering and Applications. 2025; 13(01):-.
How to cite this URL:
Ravikant Nanwatkar, Aayush Talware, Sujay Sonar, Atharva Joshi, Ayush Ahhiroa. A Comprehensive Study of Sensor and Camera Fusion for Real-Time Parking Space Detection. Trends in Transport Engineering and Applications. 2025; 13(01):-. Available from: https://journals.stmjournals.com/ttea/article=2025/view=236404


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Ahead of Print Subscription Original Research
Volume 13
01
Received 27/10/2025
Accepted 12/12/2025
Published 17/12/2025
Publication Time 51 Days
20

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