Vehicle Detection and Speed Estimation Using Deep Learning
The use of deep learning algorithms for vehicle detection and speed estimate in traffic surveillance systems is investigated in this research study. Convolutional Neural Networks (CNNs) are the main tool used in this study to solve the problems related to precise and timely monitoring of vehicle movement. By improving the effectiveness and dependability of current systems, the suggested approach hopes to promote traffic management for smart transportation.
Authors
- Raj Kumar Patra (ORCID: https://orcid.org/0000-0003-4112-2365)
- Vishnu Kumar Mishra (ORCID: https://orcid.org/0000-0001-8652-9076)
- Tarun Dhar Diwan (ORCID: https://orcid.org/0000-0002-4949-5193)
- Megha Mishra (ORCID: https://orcid.org/0000-0001-7948-4586)
- Rajesh Tiwari (ORCID: https://orcid.org/0000-0002-5345-2508)
- T. Ramkumar (ORCID: https://orcid.org/0000-0003-1654-8022)
Institutions
- Chhattisgarh Swami Vivekanand Technical University (IN)
- CMR University (IN)
Publication Details
- Published
- 2024-10-19
- DOI
- https://doi.org/10.1109/icccmla63077.2024.10871254
- Citations
- 26
- Primary Topic
- Autonomous Vehicle Technology and Safety
- Type
- article
- Field-Weighted Citation Impact
- 5.29