AI-Enhanced Automotive Navigation: Enriching Driving Experiences through Intelligent Contextual Information Delivery

Abstract

Improving in-car features and increasing the driving experience has become one of the main goals in the automotive industry. Driver-specific adjustments, automatic operations, increased functionality of infotainment systems and the development of automotive navigation systems, as discussed in this article, have been factors that improve driving quality. This paper presents a novel approach to navigation system development tailored for automotive use, aiming to enrich the driving experience through the integration of artificial intelligence (AI) technologies. The proposed system operates by leveraging AI algorithms to gather pertinent information about historical destination landmarks with temporal significance once a driver selects it via the navigation interface. Moreover, the system not only provides information about the selected destination, but also provides information about all historically important locations on the route, depending on the location over GPS. Subsequently, this information is intelligently synthesized and conveyed to the driver in a voice-assisted manner, enriching their journey with insightful details and enhancing situational awareness. By seamlessly integrating AI-driven contextual information delivery into the navigation paradigm, this system aims to not only facilitate smoother navigation but also elevate the overall driving experience. Through a synthesis of AI, natural language processing, and location-based services, this innovation represents a significant step towards more intuitive and enriching automotive navigation systems.