Abstract

Navigation assistance systems, aiming to improve safety and optimize the traffic, become more and more popular in vehicular technology. The reason is given by the significant traffic increase and congestion events in large cities, complexity of road infrastructure and unexpected or hazardous conditions that can be found on roads. This paper proposes an improvement in navigation systems by intelligently gathering traffic data provided by integrated car sensors and/or security systems and use these data to warn other participants. System concepts, architecture, preliminary design and performance evaluation aspects are presented, and also tasks organization for an embedded cost effective implementation using a real time kernel is illustrated.

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