An IoT Approach to Blind Spot Detection: Improvising Smart Transportation Domain
As the awareness and advancement of technology is progressing and with the emergence of better capable technical concepts the easiness of day to day life is rapidly increasing. One of the important area on which human directly or indirectly depends is transportation. With the amalgamation of intelligence in the transport management system, Intelligent and smart transportation system (ITS) has evolved. The primary goal of these intelligent system is to provide traffic safety and efficient ways to reduce travelling time, travelling cost and pollution and fuel emission. This article basically focusses on the area of Internet of Vehicles (IoV) which is the latest technology in the field of intelligent transportation. Issues like internet unreliability, non-compatibility of personal devices such as cellular or tablets, very limited capability of processing along with non-presence of latest computing technologies like cloud computing. IoV is an evolving technical concept in ITS which enhances and improves the existing capabilities of existing Vehicular infrastructure. The article proposed here is focused on the domain of automated driving. The paper investigates the blind spot problem in automated driving and propose a solution for automated driving against it.
Authors
- Ajitesh Kumar (ORCID: https://orcid.org/0000-0003-0196-5640)
- Surabhi Kesarwani
Institutions
- GLA University (IN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/ccis63231.2024.10931937
- Primary Topic
- Traffic Prediction and Management Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00