Noise gradient strategy for an enhanced hybrid convolutional-recurrent deep network to control a self-driving vehicle.
Dante Mújica-VargasAntonio Luna-AlvarezJosé de Jesús RubioBlanca E. Carvajal-GámezPublished in: Appl. Soft Comput. (2020)
Keyphrases
- electric vehicles
- network architecture
- control system
- autonomous driving
- recurrent networks
- intelligent vehicles
- computer networks
- traffic accidents
- wireless sensor networks
- network model
- recurrent neural networks
- deep learning
- vehicle detection
- pedestrian detection
- signal to noise ratio
- gradient estimation
- peer to peer
- driving simulator
- switched networks
- dangerous situations
- traffic signal
- real time
- traffic management
- traffic conditions
- cellular networks
- control method
- noise level
- communication networks
- sparse coding
- feed forward
- network structure
- neural network