AI-Driven Systems for Autonomous Vehicle Road Sign Detection and Classification
Abstract
In addition to steering angle and vehicle sensor information, the infrastructure and traffic participants (ITP) scenario take V2X communication of dynamic and static objects into consideration. It works based on an early trajectory prediction for all visible objects which is transmitted with a minimum required set of information. In general, the V2X information can be used to optimize human–vehicle interaction (HVI) in all scenario categories. All algorithms are based on the maximum usage of the original information from the vehicles’ external perception. If necessary, a sensor fusion approach using fusion engine variants is applied, typically gradually from simple scenarios to complex scenarios. To avoid unnecessary warnings and at the same time be as precise as possible, a layer-wise logical check processes this potential situation before giving any warnings or helping.
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