Munich Technical University (TUM) researchers have developed a method to enable driver-assistance systems in vehicles to identify pedestrians and cyclists even if they are obscured by large obstacles.
As part of the system, mobile handsets carried by the pedestrians and cyclists assume the function of a transponder. The car-based system transmits a unique code sequence and the transponder modifies the pattern and returns it within a very precise timing scheme. In order to detect an approaching pedestrian, the driver needs to be warned or the emergency brake has to be triggered before the pedestrian steps onto the roadway.
"Thus, we reach an accuracy of just a few centimeters in the distance measurement," says TUM professor Erwin Biebl. "Along with the code-based method, this is the reason for the high performance."
The system also has a cooperative sensor that identifies pedestrians unambiguously and predicts their movement behavior.
The researchers say the transponders could be integrated into clothing or smart devices.
From EE Times
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