Black Box with Integrated Accelerator for Real-Time Multi-Sensor Fusion: A Survey
Keywords:
Automotive black box systems, Driver behaviour monitoring, Internet of Things (IoT), ITS, Real-time data logging, Vehicular data acquisitionAbstract
The rapid technological progression of intelligent transportation systems has, in turn, escalated the requirement for dependable, secure, and real-time vehicular data acquisition methods for accident analysis, driver behavior monitoring, and road safety enhancement. Today, automotive black box systems have materially transformed from mere crash data recorders to sophisticated platforms that integrate numerous sensors, wireless communication, and data analytics. This survey article aims to cover a wide range of past research on black box systems in the literature published in recent years. Their quality, diversity, and voluminous character made it necessary to develop robust methodologies for researching structures and to apply these methodologies for their comprehensive analysis, classification, and description in this survey article. Apart from the system architecture, the paper also investigated a broad palette of related research topics, such as sensing technologies, communication methods, data storage tactics, and intelligent processing techniques. The comparative performance review highlights the advantages and limitations of existing solutions using at least five performance indicators: reliability, latency, scalability, security, and automotive suitability. The survey introduces a taxonomy of black box technologies and also pinpoints critical research areas that may be filled by real-time multi-sensor fusion, secure data storage, and automotive-grade hardware compliance. Various topics covered in the article are being implemented in the industry, such as integrating Internet of Things technology, cloud-based data analytics, and intelligent accident detection. Lastly, this paper gives directions for future research to facilitate the generation of robust, tamper-resistant, and smart automotive black boxes that will be able to assist safety and forensic applications of next-generation vehicles.
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