Hybrid Intelligent Data Fusion Approach to Collision Warning Information Extraction

摘要: Based on vision sensing and dedicated short range communication (DSRC) disseminating car's GPS information via v2v communication, a fast collision warning response to an imminent crash has been successfully developed. An embedded dual-platform, DaVinci+XScale-NAV270 was employed achieve line-marking identification, neighboring vehicles detection, headway measurement. In order tackle the problem of driving drowsiness in vehicle, this paper also considered specific four factors: fatigue level, breath alcohol concentration, carbon monoxide dioxide concentration. To do so, study applied data fusion QT-BPNN/ANFIS fuse heterogeneous then infer precise signal. The experimental results show that proposed approach outperforms two alternative well-known systems.