Radars are crucial for achieving safe and reliable autonomous driving because of their high sensitivity to detecting moving objects, whether occluded or at long ranges, and their robustness in adverse weather conditions. However, radars also face challenges such as low spatial resolution and high noise levels in the data, which limits the performance of radar-based perception AI models. So, how can we best utilize radars in autonomous vehicles?

This talk explores the current state-of-the-art in radar-based AI for autonomy and highlights promising new directions that could transform the use of radars in autonomous vehicles.

• Discover how vital radars are for safe, reliable autonomous driving due to their sensitivity in detecting moving objects at long ranges and in adverse weather
• Get a better understanding of the struggle radars face with low spatial resolution and high noise, limiting their effectiveness in perception AI models
• Learn more about the cutting-edge advancements and new approaches to improve radar utilization in autonomous vehicles