Traffic Signal Recognition System Using Deep Learning
Traffic Signal Recognition System Using Deep Learning
- Neue Suche nach: Nuthakki, Ramesh
- Neue Suche nach: Aameen, Abdullah
- Neue Suche nach: Kumar, Nawnit
- Neue Suche nach: Mishra, Shalabh K
- Neue Suche nach: Nuthakki, Ramesh
- Neue Suche nach: Aameen, Abdullah
- Neue Suche nach: Kumar, Nawnit
- Neue Suche nach: Mishra, Shalabh K
The intelligent traffic system relies heavily on traffic sign recognition. It can decrease driver fatigue and improve traffic safety. The traffic sign recognition system (TSRS) is a key element of the intelligent transportation system (ITS). Accurately identifying traffic signs can improve driving safety. This paper proposes a traffic sign recognition technique formulated on deep learning, taking into consideration the main objective of identifying as well as categorizing circular and spherical signs. In conclusion, deep learning is utilized in classifying the identified road traffic signs. The paper concludes with a focus on the proposed system technology, that also utilizes neural networks. As a result, traffic-sign recognition stands as both demanding as-well-as appealing subject, and an important area of study within the field of traffic engineering research.
Dokumentinformationen
Traffic Signal Recognition System Using Deep Learning
2023-09-14
546120 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Ähnliche Titel
Traffic Signal Recognition Using End-to-End Deep Learning
| TIBKAT | 2023
TRAFFIC SIGNAL RECOGNITION METHOD AND TRAFFIC SIGNAL RECOGNITION DEVICE
| Europäisches Patentamt | 2024