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