For more than a decade, 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 environmental 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 always are close co-operations with research institutes in Jena and partners from German industry. As a result, research is currently divided into four major topics, each constituting an own research team. There is a computer vision and machine learning team with an emphasis on biodiversity topics. Another team focuses on learning from 3D and unstructured data. Additionally, there is a team developing solutions for knowledge integration into machine learning. The fourth team is centered around the topic of event detection and causal reasoning with applications in environmental science. Former projects and older research directions of the group can be found in the previous research section