Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks.
Florian WirthmüllerMarvin KlimkeJulian SchlechtriemenJochen HippManfred ReichertPublished in: CoRR (2021)
Keyphrases
- recurrent neural networks
- long short term memory
- lane detection
- lane change
- lane departure
- road surface
- feed forward
- neural network
- hough transform
- recurrent networks
- intelligent vehicles
- feedforward neural networks
- complex valued
- reservoir computing
- vehicle detection
- autonomous vehicles
- real time
- neural model
- pedestrian detection
- echo state networks
- traffic flow
- driver assistance systems
- lane markings
- nonlinear dynamic systems
- cascade correlation
- detection algorithm
- moving vehicles
- artificial neural networks
- traffic management
- traffic accidents
- knowledge base
- machine learning