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In the future lab mobility, the L3S investigates communication-based fusion of sensor data of different vehicles to achieve a collective perception.



The technical development of wireless and mobile communication enables numerous novel applications that improve traffic efficiency and traffic safety. Vehicles generate FCD (Floating Car Data) that is distributed and aggregated via mobile communications in order to estimate the traffic situation and to enable a dynamic, traffic-dependent routing.


With Wifi-based ITS-G5 technology, vehicles periodically transmit CAMs (Cooperative Awareness Messages) to vehicles in their local vicinity. These CAMs comprise position, heading, and speed of the transmitting vehicle and enable the receiving vehicle to detect and avoid potentially hazardous trajectories. This provides the basis for cooperative driver assistance systems like cooperative lane change, intersection, or traffic jam assistants.


In case of road users that are not equipped, specifically vulnerable road users like cyclists and pedestrians, a CAM-based system cannot achieve a full environment recognition due to missing data. A remedy are CPMs (Collective Perception Messages), that deliver sensor information, e.g., of radar, lidar, and video sensors, of a vehicle to other road users. These sensor information, that are gathered by different vehicles, need to be fused accordingly (track-to-track fusion) to collectively achieve a more precise and more complete recognition of the environment. In other words, the goal is to see through the eyes of others - e.g., to detect persons that are possibly hidden by other vehicles.