Estimation Method for Advanced Driver Assistance System and Real-Time Context-Aware
Estimation Method for Advanced Driver Assistance System and Real-Time Context-Aware is a scholarly work, published in 2017 in ''International Journal of Engineering and Technology''. The main subjects of the publication include ontology, real-time computing, artificial intelligence, glossary of archaeology, advanced driver-assistance system, project management estimation, computer science, and cloud robotics. The paper suggests an efficient estimation method for the ADAS (advanced driver assistance system) and Real-Time Context-aware.It also examines a prototype system that employs the aforementioned method.The suggested system uses the vehicle's location and driver's information to deal with accident vulnerable points.It informs drivers of appropriate distance of approach and alerts them so that drivers can efficiently recognize communication information.For the performance evaluation of the suggested system, the NASA-TLX (Task Load Index) and SUS (System Usability Scale) evaluation were performed.The results of the analysis demonstrate that this system is more efficient than existing systems.