Low-light scenarios present significant challenges in autonomous vehicles, often compromising sensor reliability and endangering decision-making accuracy. This presentation demonstrates the limitations of current camera technologies in such environments and explores innovative approaches aimed at improving performance. By examining a variety of solution methods under development, including sensor options and advanced algorithms, the talk assesses the potential to close the availability gap in low-visibility conditions. Through case studies and ongoing research, this session provides a comprehensive overview of the progress and prospects for robust low-light imaging solutions in autonomous driving. In this talk, you will:

• Get a better understanding of the limitations of current camera sensor technologies in low-light environments
• Explore innovative solutions like new sensor concepts and advanced algorithms for improved perception
• Analyze how hardware enhancements can contribute to increased reliability in challenging lighting conditions