Driver Input Parameters TRIZ Cases
- Driver Video Call Hazard Detection With Remote Attention Alerts
Camera and sensor signals detect challenging driving conditions and alert call participants to pause or limit distracting communication.
- Automated Driving Takeover Readiness via Seat Position Monitoring
Seat position and backrest checks keep drivers within takeover range during automated driving, with correction prompts and fallback to manual mode.
- Automated Driving Control for Measuring Driver Engagement
Subtle driving-parameter deviations trigger measurable driver reactions, helping automated vehicles verify active supervision in critical situations.
- Adaptive Cruise Control Switching for Safe Overtaking Distance
When the driver overrides cruise speed, the controller switches modes to preserve target following distance and brake if needed.
- Driver Emotion-Adaptive Assistance Control for Unsafe Driving States
Dynamic reference updates improve driver emotion detection despite individual variation, enabling timely assistance and forced-stop intervention.
- Transmission Downshift Delay in Following Mode for Smoother Deceleration
Delaying transmission downshift in restricted following mode smooths deceleration G and engine speed changes to improve drivability.
- Vehicle Wash Mode Control for Wiper Interference Prevention
Camera and position sensing detect a nearby car wash and prompt wash mode to stop wipers and other functions before interference occurs.
- Reverse Wheel Torque Control for Tight-Space Vehicle Maneuvering
Independent wheel torque and inverted steering make reverse driving feel forward-like while cutting turn radius in tight spaces.
- Vehicle Safety Function Profiles for Startup Override Alerts
Preconfigured startup and user profiles keep vehicle safety functions compliant while alerting drivers when startup settings override preferences.
- Vehicle Driving Mode Recognition Using Driver-Specific Fuzzy Logic
Driver-specific fuzzy membership functions use statistical input patterns to recognize vehicle driving modes automatically without manual selection.
- ADAS Feature Recommendations Based on Driver Awareness Signals
Sensor-based monitoring of driver behavior and past interactions enables personalized ADAS prompts that improve safety without reducing driver control.
- Vehicle Display Overlay Control for Priority Notification Visibility
Display formatting is adjusted so obstruction overlays stay visible without obscuring higher-priority vehicle notifications.
- Driver Assistance Lane Change Timing Based on User Acceptance
Adapts lane-change speed reduction and gap-search timing to driver overrides, improving exit maneuvers on multi-lane roads.
- Hands-On Warning Control for Driver Response in Automated Vehicles
Persistent hands-on alerts continue until the driver grips the wheel, reducing ignored warnings during automated driving.
- Vehicle ADAS Arbitration for Stopped-State Holding Modes
A central vehicle manager maps ADAS app IDs to stopped-state holding modes, cutting ECU interface complexity and communication load.
- Vehicle Occupant Sensor Fusion for Preference Arbitration
Fused interior and exterior sensor data helps arbitrate occupant priorities and adjust climate or seating for comfort and safety.
- Driver Posture Warning Control During Assisted Driving Handover
Warnings based on seat and control positions help occupants return to a manual-driving posture before assisted driving is interrupted.
- Driver Gaze-Aware Driving Support Control for Risk Notifications
By comparing predicted risk regions with the driver's sight line, this case cuts excessive alerts while maintaining driving support.
- Autonomous Vehicle Control Handover With Torque-Matched Mode Switching
Torque initialization and gradual control-right transfer smooth autonomous/manual handover, reducing sensitivity mismatch and driver confusion.
- Autonomous Vehicle HMI Control During Minimal Risk Maneuvers
Differentiated internal and external notifications let autonomous vehicles end minimal risk maneuvers safely while preserving user control of indicators.
- Vehicle Driving Assistance Planning Based on Occupant Attentiveness
Occupant attentiveness signals adjust vehicle planning horizon and behavior options to cut computing load while preserving comfort and safety.
- Launch Control Interface for Torque Curve Guided Vehicle Starts
A driver-set torque curve and launch speed let the controller automate powertrain torque delivery for more consistent vehicle starts.
- Driver Intervention Notifications for Assisted Automated Driving
Structured visual, verbal, and haptic prompts guide driver intervention choices, reducing disengagement and human-machine misalignment.
- Immersive Driving Simulation for Challenging Roadway Events
Controlled vehicle and AR simulation recreates weather, traffic, and failure events to train drivers safely while tracking stress and errors.
- Dump Truck Override Control for Manned and Unmanned Auto Modes
Selection-based override control keeps unmanned dump trucks in auto mode while allowing manual takeover only when a rider is present.
- Autonomous Vehicle Lateral Control with Cascaded Path Tracking
A cascaded lateral controller uses nested loops for sideslip and yaw-rate feedback to keep autonomous vehicles aligned and stable on path.
- Driving Mode Switching Control for Stable Emergency Handover
Real-time driving, detection, and driver data adjust transition timing and steering signals for safer, smoother autonomous-manual switching.
- ADAS ECU Arbitration Using Control Status During Shift Operations
Control status feedback lets an ADAS manager arbitrate kinematic plans correctly and reject unsafe driver requests during shift operations.
- Vehicle Weight Estimation From Braking Vibration Signals
Estimate vehicle weight from filtered acceleration vibrations during brake stops, avoiding extra sensors and improving accuracy on slopes.
- Virtual Figure Support for Driverless AV User Assistance
Remote agents appear as projected avatars in AV, AR, or VR interfaces to restore user support and companionship without adding a driver.
- Lane-Keeping Support Timing Based on Driver Grip and Operation
Grip and driving-operation signals delay or suppress lane support to avoid unnecessary intervention and occupant discomfort.
- Vehicle Travel Control Using LTR-Based Rollover Risk Deceleration
LTR-based risk estimation lowers target speed only when rollover risk rises, helping vehicles stay on route under wind disturbance.
- Collision Avoidance Timing Based on Driver Self-Avoidance Probability
Driver state assessment shifts collision avoidance start timing earlier for low self-avoidance probability, reducing crashes without unnecessary intervention.
- Vehicle Display Control for Target Position and Movement Pattern Selection
Candidate position images and previewed movement patterns help users choose a target position while understanding the vehicle's executable path.
- Rolling Launch Control for Optimal Drag Race Acceleration
Automatic powertrain and driveline tuning holds start speed, then launches from a rolling drag race with consistent acceleration.
- Virtual Steering Wheel With Haptic Feedback for Manual AV Control
Ultrasound haptics and credential checks let users manually steer, accelerate, and brake autonomous vehicles without a physical wheel.
- Automated Driving Behavior Adjustment for Occupant Preferences
Occupant-requested changes to lane position, speed, and acceleration make automated driving more adaptive and comfortable.