Neural Learning Methods TRIZ Cases
- Vacuum cleaner and method for controlling thereof
See how sensor-driven neural network control adjusts vacuum suction force and brush speed by fl
- Disruptive prediction with ordered treatment candidate bins
See how sequenced training over ordered treatment candidate bins enables accurate counterfactua
- Vehicle Trajectory Prediction Using Interaction Scenario Simulation
Interaction scenario simulation narrows complex traffic-agent behaviors to produce more accurate vehicle trajectories with safer, smoother driving.
- Motion Planner Training Data Balancing for Rare Driving Behaviors
Balances autonomous vehicle trajectory data by clustering behaviors and generating added samples to reduce bias in rare and near-collision scenarios.
- Vehicle Neural Network Control With Nonlinear H-Infinity Robustness
Neural network vehicle control is constrained to robust actions, balancing nonlinear performance with H-infinity disturbance tolerance.