This thesis proposes a novel system architecture for camera-based driver assistance services. By means of image compression and IP-multicast it becomes possible to make use of single IP-cameras for all ECU’s connected to the in-car network. The effects of image compression on the performance of image processing algorithms for driver assistance services, the end-to-end delay and the CPU utilization while decoding are studied for the JPEG and the H.264 standards. Based on these results a system architecture for future Head Units as well as IP-cameras is derived. Concerning the IP-cameras, a specialized traffic shaping algorithm is proposed. By means of a service specific data scheduling approach traffic bursts are avoided. In order to account for future requirements, the on-board network is connected to off-board services.
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This thesis proposes a novel system architecture for camera-based driver assistance services. By means of image compression and IP-multicast it becomes possible to make use of single IP-cameras for all ECU’s connected to the in-car network. The effects of image compression on the performance of image processing algorithms for driver assistance services, the end-to-end delay and the CPU utilization while decoding are studied for the JPEG and the H.264 standards. Based on these results a system ar...
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