Indirect and direct training of spiking neural networks for end-to-end control of a lane-keeping vehicle.
Zhenshan BingClaus MeschedeGuang ChenAlois C. KnollKai HuangPublished in: Neural Networks (2020)
Keyphrases
- end to end
- spiking neural networks
- admission control
- lane detection
- biologically inspired
- training algorithm
- autonomous vehicles
- congestion control
- real time
- control system
- intelligent vehicles
- control method
- application layer
- lane change
- transport protocol
- transport layer
- biologically plausible
- computational model
- online learning
- training set
- multiscale
- neural network