Environment Recognition
Autonomous vehicles will only bring the hoped-for increase in convenience and safety if they reliably know their own position – and can reliably recognize their static and dynamic environment, i.e. other vehicles and road users, as well as buildings and infrastructure. The vehicle sensors themselves and the algorithms which enable reliable real-time evaluation of the recorded data all play an important role here. However, these sensors and algorithms can also be used to analyze and optimize the flow of traffic. No less important: infrastructure components such as car parks can collect data on utilization and availability and make it available to vehicles (both autonomous and those driven by people).
Traffic Flow Sensors
Traffic Flow Sensors
Traffic management systems and traffic regulation have always played an important role regarding private transport. Traffic jams and congestion are obstacles to people's need for mobility. In the era of autonomous driving and car-to-X communication, traffic flow sensors will experience a renaissance if vehicle behavior can also be controlled directly. Today, FKFS already considers traffic flow and susceptibility to congestion for individual traffic intersections, incorporating the context of main roads and side streets. Using simulation models, FKFS determines the optimum traffic flow and provides information and recommendations for its realization.
Contact
Dr.-Ing. Gerd Baumann
Ph.: +49 711 685-68116
Dr.-Ing. Thomas Riemer
Ph.: +49 711 685-68131
Vehicle Sensors
Vehicle Sensors
Sensors will have a significant role to play in the future of automated and autonomous driving. FKFS has been observing and evaluating the available sensor technology for years now – from video and lasers through to lidar sensors – with regard to cost, applications, reliability and necessary redundancy. Relatively simple sensor technologies are also important in the effective and competitive configuration of a sensor set: either because they just need to verify information which has been determined another way (data redundancy), or because recording personal data must be avoided (faces of pedestrians).
Contact
Dr.-Ing. Gerd Baumann
Ph.: +49 711 685-68116
Dr.-Ing. Thomas Riemer
Ph.: +49 711 685-68131