Biological Models TRIZ Cases
- Variable Time-Step Tree Search for Vehicle Trajectory Prediction
A learned model varies decision-tree time steps to focus computation on early vehicle interactions and improve real-time trajectory prediction.
- Autonomous Vehicle MRM Control With Asymmetric Wheel Braking
When autonomous driving becomes impossible, asymmetric left-right wheel braking guides a minimal risk maneuver to avoid lane departure and collisions.
- In-Vehicle Voice Assist Using Latent Audio for Idiom Recognition
Latent-space audio encoding with contextual data avoids homophone token errors and improves in-vehicle recognition of idioms, slang, and natural commands.
- Vehicle Function Control Using Two-Stage GPT Decision Flow
A two-stage GPT control flow improves vehicle function predictability and decision clarity without losing AI versatility.
- Vehicle AI Control with Two-Stage GPT Decision Refinement
A two-stage GPT control flow refines goal-based vehicle commands to improve decision predictability and reliability across functions.
- Neural Trajectory Generation Using Weighted Basis Paths
Basis trajectories derived from map data constrain neural network outputs, producing safer, more predictable paths for mobile agents.
- Autonomous Driving Hyperparameter Control for Adaptive Trajectory Selection
Reinforcement learning adjusts speed, obstacle-avoidance, and path-following hyperparameters to cut manual tuning and stabilize autonomous driving.
- Automated Vehicle Trajectory Planning Using Occupancy Grid Reliability
Occupancy grid prediction is compared with live sensor data to map uncertainty and guide safer automated vehicle trajectories.
- Steering Wheel Gesture Sensing for Grip-Preserving Vehicle Control
Pressure and capacitive sensing on steering wheel zones recognizes hand gestures, letting drivers control vehicle functions without loosening grip.
- Electrochemical Fin Memory Cell for Fast Ion Exchange at Small Scale
A fin-shaped electrochemical channel and ion-control interface layer preserve fast switching and resistance accuracy as memory cells shrink.