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Technical Paper

3-D Video Sensor for Dynamic Out-of-Position Sensing, Occupant Classification and Additional Sensor Functions

2005-04-11
2005-01-1232
A 3-D video sensor designed for in-vehicle operation is presented in this paper. This sensor enables improved occupant protection according to the Federal Motor Vehicle Safety Standard (FMVSS) 208 and beyond. Interior sensors integrated in current occupant protection systems are especially designed for Occupant Classification (OC). However, these interior sensors do not measure the distance between the head and the air bag module. As a result, the air bags deploy independently from the occupants' Out-Of-Position (OOP) status in crash situations. On the contrary, the sensor presented in this paper overcomes this shortcoming by providing dynamic Out-Of-Position Sensing (OOPS) capabilities in addition to occupant classification. The requirements of dynamic OOPS are discussed and an appropriate test device and test procedure are described. Furthermore, the paper presents the sensor principle, the hardware architecture and algorithms for image data processing.
Technical Paper

Integration Strategy of Safety Systems - Status and Outlook

2016-04-05
2016-01-1499
On the way to automated driving, the installation rate of surround sensing systems will rapidly increase in the upcoming years. The respective technical progress in the areas of driver assistance and active safety leads to a numerous and valuable information and signals to be used prior to, during and even after an accident. Car makers and suppliers can make use of this new situation and develop integrated safety functions to further reduce the number of injured and even deaths in car accidents. Nevertheless, the base occupant safety remains the core of this integrated safety system in order to ensure at least a state-of-the-art protection even in vehicles including partial, high or full automation. Current networked safety systems comprehend a point-to-point connection between single components of active and safety systems. The optimal integration requires a much deeper and holistic approach.
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