A vehicle control system uses a determiner to assess parking conditions before initiating automated movement.
Indicating unit delivers tactile signals via steering wheel to inform drivers of lane departure warning status changes.
Nonlinear model predictive control calculates optimal paths and steering sequences to avoid obstacles while maintaining vehicle stability at dynamic limits.
System detects obscured distance sensors to deactivate automatic steering, preventing collisions when vehicle parts block sensor views.
A driver assistance system adjusts vehicle speed dynamically to maintain control during automated maneuvers.
A driver assistance system enables autonomous parking maneuvers after the driver exits the vehicle.
A parking assistance system displays a top view with line elements indicating obstacle distances to simplify driver operation.
A vehicle control system adjusts lane change parameters based on nearby traffic states.
Processor aligns steering angle using preset thresholds to prevent tire misalignment caused by road surface reactions after parking completion.
A position detection device uses an excitation coil and a detection coil to measure shaft movement via induced voltage changes.
A trajectory planning method uses a vehicle motion model and solver to generate control profiles for autonomous driving.
Segmenting the target trajectory by sensor detection range prevents collisions with undetected objects while maintaining autonomous valet parking efficiency.
A vehicle control device calculates yaw angle changes using non-steered wheel sensors to estimate self-vehicle location accurately.
A vehicle control system monitors operator inputs and modifies unsafe commands to maintain stable autonomous operation.
A virtual parking space establishes an automatic parking path using predetermined map data.
A parking assistance system unloading mode automatically stops the vehicle at an optimal position before reaching the final parked spot.
Paired ultrasonic sensors detect ground objects via signal reflection, resolving the trade-off between detection accuracy and system complexity.
Electronic control unit maintains steering angle at end of guidance to prevent abrupt vehicle behavior changes.
A parking control device acquires sensor operation state information to generate guidance data for vehicle navigation.
Processor analyzes jerk signs from acceleration and speed data to determine vehicle travel direction.
A self-parking vehicle control system reads turning region data to determine an exit route that corrects vehicle orientation.
Computing device monitors vehicle parameters to transition control from autonomous mode to manual operation.
A driver assistance system outputs specific travel trajectories based on detected parking lane boundary configurations.
Electronic control unit calculates park exit guidance path with neutral steering angle for host vehicle.
Straight-driving stabilizing compensator adjusts control command values to suppress oscillations in vehicle travel direction.
A smart parking assistant system uses a determination controller to confirm driver intention for automatic alignment functions.
A marker light emits a vertical up-light and laser sheet to guide vehicle alignment during docking maneuvers.
A vehicle parking assist apparatus prevents deletion of registered parking lot information while executing autonomous parking control.
A parking assist system requires brake input to start autonomous driving.
A lane keeping assist control unit discards interrupting vehicle trajectories until deviation angles fall below a threshold.
A vehicle device determines and communicates a recommended monitoring position to the driver via projected lights or wireless signals.
Controller switches primary camera to secondary sensor when glare reduces lane marker confidence, maintaining autonomous control.
Environmental map visualization enables driver trajectory selection via user interface, resolving unreliable sensor detection in complex traffic situations.
A vehicle control device adapts automated driving maneuvers by characterizing the driver to optimize safety distances and route planning.
A parking assist apparatus generates target routes using learned start, shift, and end positions to guide vehicle movement.
A parking assistance apparatus uses an around view monitoring image on a touchscreen to set target parking regions via direct user touch input.
A lane following control apparatus calculates steering torque using a target trajectory derived from preceding vehicle travel information.
Camera system detects trailer coupling markers to calculate vehicle path, resolving visibility issues caused by low hitch placement.
A replacement trajectory connects a starting point before a collision to an end point after it, bypassing detected obstacles in autonomous parking maneuvers.
A parking aid system determines obstacle coordinates to generate a curved coordinate profile matching the physical shape of surrounding barriers.
Actuator adjusts stabilizer bar lever ratio to modify roll stiffness characteristics.
A vehicle control device adjusts detection load and scan regions to approach a user safely during valet parking.
Dimensional changes create 3D guideline walls that resolve alignment issues with trailers and tight spaces.
A deviation avoidance apparatus synchronizes passenger notifications with actual steering actuation.