Truck backer-upper
Stanford UniversitySelf-driving car
The Truck backer-upper model is a self-driving car model from Stanford University with 805.0 parameters.
About Truck backer-upper
Neural networks can be used to solve highly nonlinear control problems. A two-layer neural network containing 26 adaptive neural elements has learned to back up a computer-simulated trailer truck to a loading dock, even when initially jackknifed. It
Details
- Provider
- Stanford University
- Task
- Self-driving car
- Parameters
- 805.0
- Released
- 1989-06-18