Wrong Way Drivers Detection

Wrong Way Drivers Detection The proposed solution is based on three main stages: Learning, Detection and Validation. Firstly, the orientation pattern of vehicles motion flow is learned and modelled by a mixture of gaussians. The second stage (Detection and Temporal Validation) applies the learned orientation model in order to detect objects moving in the lane's opposite direction. The third and final stage uses an Appearance-based approach to ensure the detection of a vehicle before triggering an alarm.

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Wrong Way Driver Detection

Vehicle circulating in the wrong direction detected by AID System on a Portuguese highway.