International Journal of Science, Engineering and TechnologyAuthors: Uma Gautam, Ankush Rana, Abhendra Pratap Singh, Vijayalaxmi, Vansh Garg, Charvi
Abstract: This paper summarizes advances in intelligent technology to enhance road safety with an emphasis on increased use of systems to detect car accidents. It reviews previous studies involving image processing, sensor-based systems and the combination of artificial intelligence and deep learning (AI with DL). It was proven that the latest systems use combination of sensors (like accelerometer, GPS, video, etc.) and Advanced Drivers Assistance Systems (ADAS) for better detection and less errors. This study shows that AI and DL have the ability to improve the speed and quality of processing data in accident scenarios. It also addresses data, system reliability, and practical aspects to improve the effectiveness and safety of intelligent accident detection systems in evolving road transport technologies. It also identifies research gaps and provides the basis for subsequent studies.
DOI: http://doi.org/10.5281/zenodo.21715838
