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Found 2 papers, 1 papers with code
RONELDv2: A faster, improved lane tracking method
Lane detection is an integral part of control systems in autonomous vehicles and lane departure warning systems as lanes are a key component of the operating environment for road vehicles.
RONELD: Robust Neural Network Output Enhancement for Active Lane Detection
In this paper, we present a real-time robust neural network output enhancement for active lane detection (RONELD) method to identify, track, and optimize active lanes from deep learning probability map outputs.
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