This paper represents my exploration into significantly improving the critical task of reversing a car by focusing on the interplay between the driver, the vehicle, and the surrounding environment. My research delves into the diverse ways drivers currently reverse, analyzing the strategies they employ in various scenarios. I closely examine how drivers utilize existing car features like mirrors and physically turning to visualize the area behind them.

Through this study, the limitations of current reversing aids in providing a complete and intuitive understanding of the immediate surroundings become evident to me. My focus extends to the driver themselves and the systems designed to support, and sometimes even automate, crucial aspects of this maneuver. Recognizing the wide spectrum of driver abilities, the varying driving contexts, and the inherent dependencies between the driver and environmental factors, I strongly believe in the necessity for personalized, adaptive, and seamlessly integrated support systems.

Driven by the insights gained from this analysis, I propose an ADAS (Advanced Driver Assistance System) solution tailored to address the identified shortcomings. My aim is to articulate how integrating intelligent technologies can provide drivers with more comprehensive awareness, ultimately enhancing safety and reducing the cognitive load associated with reversing. This work underscores my commitment to leveraging research and design to create impactful solutions that adapt to individual driver needs and contribute to a safer driving experience for everyone.