dc.description.abstract | Recently, the issue on safe driving becomes more and more important. To aid the safe driving, we use a camera mounted on a vehicle to capture road scenes for detecting preceding vehicles, brake light, and turn signal of the vehicles.
The proposed system consists of ten functions: lane detection, multiple lane estimation, classification of solid/dashed lane, direction estimation, vehicle lateral offset estimation, lane departure warning, preceding vehicles detection, distance of preceding vehicles estimation, brake light detection, and turn signal detection. In this thesis, the detection methods of preceding vehicles, brake light, and turn signal are proposed. We use cast shadow, left/right borders of a vehicle to detect preceding vehicle and use ratio of the road width and vehicle width, symmetry, and standard deviation to verify, use temporal difference, symmetry, and appearance times to detect brake light, and use temporal difference, position check, cluster, and frequency to detect turn signal.
In the experiments, the proposed detector is evaluated on several different weather conditions such as sunny day, misty day, dusky day, cloudy day, and rainy day. From the experiment results, we find that the proposed approach can stably detect or track the preceding vehicles and their rear lamps in real time. | en_US |