Scene Understanding in Unstructured Environments

In the last decade we have seen much research activity in scene understanding by the emergence of deep learning in computer vision. The vast majority of developed solutions are applied in urban and structured environments. Unfortunately, these methods often fail when used in unstructured environments. Unstructured environments provide their own challenges such as varying lighting conditions and weather conditions as well as more natural structures in the scene. These conditions require different model assumptions and robust algorithms to accurately extract relevant information.

We are hosting the workshops on Scene Understanding in Unstructured Environments to combine the research efforts and offer a platform for an exchange of knowledge within the research community. We will discuss different approaches that will find their way into the next generation of vision solutions for unstructured environments.