Railway

Sensors can be used to detect obstacles in front of a tram and for warning the tram driver. There is big market demand for Collision Warning Systems to the front. It is the first step for automated driving in trams and other Railway vehicles.

One of the most common accidents in the vicinity of the trams are so-called turning accidents. Sensor technology can prevent accidents when the train is turning as well as vehicles turning in front of the train.

The Driver Monitoring System recognizes if the driver is distracted or tired and alerts him. Additionally, this information is a valuable input to other collision avoidance mechanism that can adapt their sensitivity by detecting the driver's direction of view.

Respecting the privacy interests of individual drivers, our Driver Monitoring System recognizes if the driver is distracted or tired and alerts him. Additionally this information is a valuable input to other collision avoidance mechanism that can adapt their sensitivity accordingly and thus increase the safety.

Attentiveness Detection

Based on head position, eye gaze and further train information (e.g. speed or signals) the attentiveness of the driver is categorized.
  

Drowsiness Detection

The driver‘s drowsiness is diagnosed based on eye blink duration and frequency as well as eye opening velocity.
  

Face recognition (privacy conform)

Each driver can be uniquely identified using facial features such as face geometry and skin texture.

With a Head Up Display all relevant information is moved to the Drivers´s field of vision. This reduced the Driver fatigue by removing the need to switch focus and lead to a safety increase because the driver´s eyes remain on the road without any refocusing.

Improved speech intelligibility in any position inside and outside the passenger cabin by using actuators that stimulate surfaces to vibrate instead of loudspeakers.