External Condition Input Parameters TRIZ Cases
- Vehicle Dust Sensor for Roadway Load Detection
A vehicle-mounted dust sensor observes the roadway surface ahead to estimate road dust load in real time.
- Vehicle Control Device Suppressing Excessive Passing via Feature Matching
A vehicle control device matches stored feature information of preceding vehicles to adjust passing thresholds and suppress unnecessary lane changes.
- Adaptive Cruise Control Dynamics Adjustment for Road Inclines
A longitudinal dynamics control system adjusts feedback parameters based on wheel brake state variables to maintain vehicle spacing.
- Predictive Transmission Control Using Front Camera Road Curvature
Front camera module predicts road curvature to adjust transmission speed ratios, resolving delayed inertial sensor response.
- Trailer Length Estimation Using Vehicle Radar and Hitch Geometry
Processor estimates trailer length using radar targets, wheel angle, and hitch geometry to resolve measurement precision versus device complexity.
- Vehicle Control System for Stopped Vehicle Avoidance
A vehicle control system detects stopped vehicles and adjacent lane traffic to execute avoidance maneuvers.
- Autonomous Vehicle Sensor Envelope Control
System generates control signals to disable autonomous driving when sensor viewing angles fall outside computed operational envelopes.
- Vehicle Merging Controller for Stable Lane Changes in Congestion
A vehicle merging controller adjusts control strategies based on real-time traffic volume to facilitate stable lane changes.
- Vehicle Control Device Prioritizes Recognizable Deceleration Targets
A vehicle control processor selectively displays only the deceleration target within the driver's visual recognition area.
- Ride Comfort Analysis Using Brain Wave Signals
Analyzing brain wave signals corrects posture-based comfort data to resolve the trade-off between measurement precision and system complexity.
- Vehicle Traveling Control Apparatus Speed Deviation Threshold
A vehicle traveling control apparatus uses a speed deviation threshold to differentiate driver operations from automatic limit settings.
- Autonomous Driving Policy Personalization via Driver Preference Learning
A computerized driving system adapts vehicle control policies by retrieving individual driver identifiers and applying learned preference data to customize autonomous behavior.
- Adaptive Driving Profile Selection via Driver Behavior Deviation Detection
A driver assistance system detects deviations between desired and current driving profiles to automatically adapt vehicle parameters.