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Public intersections are due to their complexity challenging locations for drivers. Therefore the german joint project Ko-PER - which is part of the project initiative Ko-FAS has equipped a public intersection with several laserscanners and video cameras to generate a comprehensive dynamic model of the ongoing traffic. Results of the intersection perception can be communicated to equipped vehicles by wireless communication. This contribution wants to share a dataset of the Ko-PER intersection to the research community for further research in the field of multi-object detection and tracking. Therefor the dataset consists of sensor data from the laserscanners network and cameras as well as reference data and object labels. With that dataset, we aim to stimulate further research in this area.
Strigel et al. (Wed,) studied this question.