Driver Input Parameters TRIZ Cases
- Selective Wheel Braking for Low-Speed Steering Load Relief
Reduced front brake force at low speed and high rack force cuts steering loads, lowers wear, and avoids oversized steering components.
- Autonomous Vehicle Handover Timing Based on Driver Steering Input
Driver yaw, deceleration, and shifting inputs are compared with the planned route to vary handover timing and reduce deviation risk.
- Parking-Area Acceleration Suppression for Pedal Misapplication
Trajectory and overlap checks limit acceleration suppression to real parking maneuvers, reducing false pedal-intervention discomfort.
- Vehicle Behavior Profiles for Accurate Abnormal Driving Detection
Type-specific behavior profiles let the ego vehicle judge remote driving more accurately and avoid false warnings for trucks, buses, and cars.
- Vehicle Error Shutdown Alerts for Driver Reaction and Reactivation
Timed driver alerts before vehicle deactivation clarify critical error handling, required actions, and reactivation limits after standstill.
- Driver Activity Interruptibility Classification for Takeover Prompts
Occupant monitoring classifies non-driving activities by interruptibility so takeover prompts and activity re-release can reduce distraction.
- Autonomous Driving Safety Control for Quantified SOTIF Risk
Quantifies SOTIF residual risk by linking driver status, RFIM events, and system fault severity to a failure rate for safer ADAS control.
- Vehicle Collision Control Using Driver Gaze for Crossing Targets
Driver face direction and target position are used to delay collision control when crossing traffic is already recognized, reducing needless intervention.
- Driving Behavior Recommendation Prioritization for Vehicle Users
A vehicle driving analysis case that ranks behavior deviations and sends one prioritized recommendation to reduce user annoyance and improve engagement.
- Steering Wheel Touch Confirmation for Semi-Automated Lane Changes
A capacitive steering wheel touch sensor confirms suggested lane changes during hands-free Level 2 driving without steering input or turn-signal use.
- Adjustable Vehicle Stability Control for Yaw and Wheel Slip
Driver-set stability levels adjust braking and driving force from yaw rate and wheel slip data for track use and varied road conditions.
- Multi-Level Occupancy Grids for 3D Roadway Occlusion Mapping
Maps bridges, tunnels, and overpasses with indexed multi-level gridlets so autonomous vehicles can localize occupied and occluded roadway areas accurately.
- Vehicle-Trailer Stability Monitoring for Pendulum Risk Assessment
Real-time pendulum risk assessment helps suppress automated guidance when vehicle-trailer instability is likely.
- Adaptive Driver Takeover Guidance Using Driver State Feedback
Real-time driver, vehicle, and environment sensing adjusts takeover prompts so intervention stays smooth and safe under changing conditions.
- Vehicle Stability Control with Adjustable Yaw and Slip Intervention
Multi-level stability control adjusts braking and driving force from yaw rate and wheel slip data, balancing vehicle stability with driver responsiveness.