It is well recognized that robust perception in adverse weathers is challenges. For instance, how to design a robust vision or LiDAR based SLAM system in extreme weather conditions (e.g., heavy snowfall) is still an open research problem. On the other hand, radar sensing has been proven to be reliable and effective in extreme weathers. We have also seen that radar sensors are increasingly adopted for advanced driver-assistance systems (ADAS) in the automotive industry. However, there are still numerous open research problems on how to effectively design, develop and deploy radar perceptual systems for long-term robot autonomy in all weather conditions. 

The main objective of this workshop is to create a platform for researchers, from both academia and includes, to explore fundamental research and applications on radar perception for all-weather robot autonomy. It aims to foster discussions and exchanges, ideally creating a long-term flourishing communication channel in the community.