External Condition Input Parameters TRIZ Cases

Grid-based clearance assessment monitors vehicle setpoint trajectories for collision freedom, resolving unreliable object size detection in automated driving.

A longitudinal driver assistance system determines a location-dependent point in time for speed adaptation using route course data.

A vehicle system determines set point speed using sensor data from nearby vehicles to adjust host vehicle motion.

A control unit transforms lateral and longitudinal acceleration data into a parameter space to extract accumulation points for driver classification.

A brake monitoring system predicts critical overheating states using sensor data to engage engine braking automatically.

A platooning control apparatus restricts leading vehicle acceleration using V2X communication to maintain inter-vehicle distance.

Controller uses an NVH map to release damper clutch lock-up or raise engine torque.

A vehicle control system generates countersteering signals to prevent secondary collisions with roadside hazards.

Dynamic filter adjustment using precipitation data prevents legitimate object signal loss during clear weather while maintaining monitoring reliability.

A vehicle system assigns pilot-assisted and autonomous modes to specific route segments to propose tailored activities for the driver.

A secondary control unit calculates actuator signals to maintain vehicle operation during primary system failure.

A semi-automated driving system monitors driver gaze to enable secondary tasks during autonomous operation.

Sensor fusion feeds a machine learning classifier that determines driver interruptibility, preventing safety-critical interruptions during driving.

A lane guidance system modifies target trajectories to guide vehicles within road ruts.

A vehicle driveline control system selectively engages a second axle assembly to manage engine speed during auxiliary braking operations.

A vehicle estimation system calculates absolute wheel roll radii using yaw rate and wheel speed signals without relying on nominal values.

A driver alert system adjusts thresholds based on real-time driving parameters to generate context-aware in-vehicle signals.

A vehicle actuator adjusts ambient air temperature sensor exposure to reduce measurement deviation from expected values.

A driver assistance system calculates failure probability using sensor and environmental data to determine required attention levels.

A powertrain control system builds synthesized speed profiles from sensor data to optimize efficiency across distinct speed change regions.

A vehicle control apparatus stores steering component information when stopped to maintain precise trajectory upon resuming travel.

A vehicle control system determines a target stop position for automated driving based on failure status and map data.

Dynamic software process selection adjusts autonomous vehicle motion planning and actuator control parameters based on detected road features.

Ride height sensors calculate vehicle weight using compensation factors for environmental and mechanical variables.

A vehicle system dynamically records reference data to calibrate driver state detection parameters using real-time condition verification.

A vehicle lane holding system combines vision-based path data with driver-applied steering torque to enable mixed control of lateral positioning.

A vehicle scope manager adjusts glance away duration allowances based on real-time driving conditions to maintain driver attentiveness.

Acoustic and vibration sensors determine road surface type to resolve detection precision limits of optical systems.

Model-predictive speed control restricts calculations to physically possible transitions within a defined corridor.

A calculation apparatus fuses gyro and steering angle data to estimate vehicle yaw rates with high reliability.

A driving control system calculates an elegance score by comparing measured metrics against manually controlled vehicle benchmarks.

Kalman filtering and Bayesian updates process multi-sensor outputs to distinguish real obstacles from noise, eliminating ghost objects and false alarms.

Dynamic object classification adjusts yielding thresholds based on risk, reducing unnecessary traffic delays while maintaining pedestrian safety.

A vehicle control system sets target deceleration by comparing first-class and second-class minimum values to manage motion parameters.

Satellite positioning synchronizes vehicle clocks to eliminate drift errors and ensure accurate relative distance tracking in convoys.

A collision prediction system calculates trajectories using imaging and radar data to detect vehicles from all directions.

A LIDAR system configures regions of interest based on machine position and orientation to perform concentrated scans along known paths.

A vehicle control device uses sound source separation to isolate front wheel noise from engine interference for accurate road surface condition determination.

A merging assistance device accelerates a vehicle to target speed while continuously calculating the required stopping distance for safe lane changes.

A vehicle speed alert system generates real-time driver notifications based on simulated traffic signal data and optimal speed profiles.

A prediction device calculates range changes when switching vehicle functions using ambient temperature data.

Pre-sorts sensor data points before applying fitting algorithms, reducing computational load while maintaining detection accuracy.

Subsystem controller selects automatic torque constraints based on detected terrain conditions to manage wheel slip and powertrain response.

Architecture models generate formal contracts to verify timing semantics in embedded systems.

Determines maximum friction coefficients by monitoring torque transitions to resolve terrain complexity measurement precision trade-offs.

An abnormality detection device monitors vehicle traveling states and external environments to identify system anomalies during automatic driving.

A vehicle computing system analyzes user driving profiles to predict fuel efficiency based on similar driver patterns.

Adjustable deflection devices route catenary cables through storage drums, preventing material stress during simultaneous multi-directional laying.

A vehicle detection system identifies virtual lane boundaries to assess collision threats using approach velocity and acceleration constraints.