Sunglare Avoidance System (SAS) in Semi or Fully Autonomous Vehicles

Abstract

Sun glare is a growing problem that impairs the vision systems of autonomous vehicles. It significantly reduces the visibility of objects and road markings, posing a risk to safe operation and potentially leading to accidents. Current solutions often involve expensive hardware replacements or upgrades, which are not always feasible. As autonomous vehicle adoption increases, ensuring their functionality under various environmental conditions, including intense sunlight, becomes imperative.

Researchers at FAU have developed the Sun Glare Avoidance System (SAS), a technology that addresses this critical issue in the operation of semi and fully autonomous vehicles. SAS leverages existing vehicle hardware and advanced algorithms to detect and mitigate the effects of sun glare, thereby enhancing overall vehicular safety and performance. The innovation lies in its dual-phase approach: determining the presence of sun glare using pre-stored data and real-time video analysis, and then applying countermeasures like adjusting camera positions, using polarizing filters, or software adjustments. These methods, enhanced by AI and machine learning, ensure the vision system remains functional. This solution is not only cost-effective but also improves the reliability of autonomous vehicles under challenging lighting conditions.

FAU seeks to advance this innovation into the marketplace through licensing or development partnerships.

Benefit

Market Application