VESUV - Camera based assistance system to improve safety of exposed road users, subproject: Image processing for identification of road walkers, phase II
Overview
Background & policy context:
A computer-assisted image recognition of a warning system in a vehicle has to react potentially much faster than a human being. Hence, there are clear consequences for the nature of the selection of concepts and procedures deployed for problem resolution.
Objectives:
Goal of the second project phase was to develop a demonstrator on the basis of the results of the first project phase, which can be applied in a vehicle and meets the requirements for real-time and detection reliability. At the same time, such a device should be equipped with a human-machine-interface, which allows for visually informing the driver about the existence of pedestrians without distracting him.
Methodology:
During the development, a time-based sample analysis was forgone but a system with the methodological basis of artificial neural networks in combination with a pre-segmentation via circular hough-transformation was developed, which can detect pedestrians through static images with a high probability quite reliably.
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