For almost 20 years the Computer Vision Group Jena has been developing methods and algorithms, which allow for automatic analysis of different kinds of sensor data including camera images, LiDAR scans and time-series data. Over the years, the group formed a particular interest in image understanding tasks like semantic segmentation and fine-grained classification, as well as in learning concepts like the life-long learning scenario. Additionally, there are always close co-operations with research institutes in Jena and partners from German industry. Currently, there is on the one hand a focus on developing computer vision and machine learning algorithms for different application areas. On the other hand, there are multiple projects centred around the topic of causal reasoning, which becomes increasingly relevant for building intelligent and explainable systems. Former projects and older research directions of the group can be found in the previous research section