A vehicle system learns driver preferences for lateral spacing and speed during overtaking maneuvers to align autonomous control with human comfort.
A vehicle control system manages automated driving mode transitions through an integrated restraint mechanism.
Real-time skid-torque adjustment adapts to driving conditions, preventing driveline stress while maintaining performance.
Independent sensor fusion algorithms generate separate detection outputs that trigger diagnostic signals when discrepancies exceed predetermined ranges.
A redundant automated driving control system segments sensor, planning, and regulation modules to maintain vehicle guidance through independent signal paths.
Thermal imaging sensors detect wheel angle changes before mass shift, reducing reaction time and improving collision avoidance reliability.
A deceleration control device determines a speed profile using traffic light residual time and vehicle positioning to optimize motor torque.
A vehicular running control apparatus compares yaw rate and navigation target decelerations to select the lower value for vehicle speed command generation.
A driving assist controller detects preceding vehicle start states using speed and distance change information from external sensors.
A vehicle control system compares manually traveled trajectories against optimal paths to manage mode transitions.
Traveling assistance apparatus determines prevention methods by setting steering and brake control durations.
A host vehicle predicts surrounding vehicle trajectories using predetermined driving characteristics stored in a database for specific vehicle types.
An autonomous vehicle navigates blind spots by positioning itself behind a moving obstructing object that shields the path from unseen hazards.
A vehicle control device optimizes tire operating points using sensor data and driver-selected modes to manage wheel torque.
A vehicle consumption monitoring system calculates fuel and energy metrics normalized against load and elevation changes.
Machine learning model generates aerial view from forward camera data to determine vehicle trajectory and road layout.
A curvature radius determining unit combines yaw rate and lateral acceleration estimates to calculate vehicle path geometry.
A vehicle control apparatus sets a switch position between the vehicle and an evacuation space based on map information.
A longitudinal positioning control system generates acceleration signals using weighted summation of current and predicted deviations.
Precomputing clothoid parameters into a lookup table eliminates real-time calculation overhead, enabling efficient autonomous vehicle path generation.
Radar sensors and LED lighting detect hazards near the vehicle, guiding operators safely through poor lighting conditions.
A vehicle system predicts future road characteristics using real-time sensor data and probabilistic online learning algorithms.
Active chassis actuators adjust suspension length to level the vehicle body on inclined roadways.
A remote driving system merges control of two vehicles into one driver position using telecommunication means.
A trailer backup assist system uses surface slope data to dynamically control steering and braking during reverse maneuvers.
A self-learning system compares return signals with historical data to determine vehicle surroundings accurately.
Automatic driving controller prevents unstable lane changes by following preceding vehicles into branch paths, maintaining traveling stability.
A vehicle control device adjusts start control amounts based on detected peripheral situation changes.
Regression models process vehicle sensor signals to estimate road friction coefficients for real-time control.
Replacing static laboratory tests, the system uses dynamic tire deformation signals to provide real-time ground firmness data for vehicle mobility optimization.
A vehicle communication system detects road surface abnormalities by comparing reference and actual driving data.
Rear radar sensors dynamically adjust lane departure warning thresholds based on adjacent object data, reducing collision risk while minimizing false warnings.
A system calculates driver concentration using steering angle variance and front camera data without biological sensors.
A vehicle controller adjusts lockup clutch torque to counteract yaw rate differences.
A local driving assistance service center generates analyzed information from vehicle data using a communication network.
A vehicle control system calculates a shielding ratio to determine applicability of preceding vehicle information.
A controller generates and grades multiple planned movements using rule-based models to select optimal behavior control commands.
Interval operation control coordinates commercial vehicle convoys to resolve fuel efficiency trade-offs caused by unequal masses.
A controller reduces feedforward road grade compensation torque magnitude to prevent unintended vehicle rolling back during one-pedal drive operation.
A roll stability control system predicts future lateral acceleration values to adjust deceleration requests dynamically.
A cruise control device uses a target gear shift stage fixed mode to manage transmission shifts during acceleration.
A vehicle stop support system detects driver physical abnormalities and selects safe stop points along the travel path.
A vehicle control apparatus estimates nearby vehicle positional changes to derive lane changeable periods for target position selection.
A hand operated auxiliary drive and retard control system provides step torque adjustments via a lever interface.
A vehicle dynamics model derives slip parameters from sensor data to calculate a robust dangerous driving indicator.
An on-board computer detects telecommunication messages to transition a self-driving vehicle from manual to autonomous operation.
A driver assistance system detects road narrowing and categorizes boundaries as static or dynamic to display distinct graphical elements.
A detection unit monitors vehicle lighting elements to trigger a start prevention signal when operational states indicate malfunction.