There is currently a lack of comprehensive, real-world, multi-vehicle datasets fostering research on cooperative applications such as object detection, urban navigation, or multi-agent SLAM. In this paper, we aim to fill this gap by introducing the novel LUCOOP dataset, which provides time-synchronized multi-modal data collected by three interacting measurement vehicles.
Jeldrik Axmann, Rozhin Moftizadeh, Jingyao Su, Benjamin Tennstedt, Qianqian Zou, Yunshuang Yuan, Dominik Ernst, Hamza Alkhatib, Prof. Claus Brenner, Prof. Steffen Schön