Predicted host-vehicle trajectories and lane boundaries replace lookup tables, enabling more consistent lane-keeping activation and easier calibration.
A two-stage steering angle profile cuts lateral speed convergence time in lane departure avoidance while keeping steering transitions smooth.
Predicted obstacle distance alerts during automatic parking help occupants judge close clearances and ease anxiety in tight spaces.
Rotation matching between a trailer wheel accelerometer and tow vehicle ABS or ESP sensors identifies left or right installation without trailer ABS.
Discrete button or touchscreen inputs move a vehicle by small steps and return it to standstill for easier parking and trailer alignment.
Real-time light and steering-wheel haptic cues guide track drivers along an optimal trajectory without dashboard distraction, improving safety and lap performance.
A linearly movable spacer in a rubber-metal bearing shifts the inner core for precise wheel alignment without bulky adjustment hardware.
Stored teacher paths are corrected to match a user-selected parking mode, avoiding repeat teaching runs and improving final vehicle orientation.
A dynamic notification start point lets automatic parking alerts match driver timing preferences while shortening route memorization.
Pre-judging parking feasibility across multiple routes lets the vehicle suggest auto parking before a junction, avoiding return maneuvers.
Multi-assessor steering control detects driver intent and road conditions to complete evasive maneuvers with safer passage around vehicles and road users.
Ends parking exit assist only when no turns remain and the vehicle is near the exit position, letting the driver stop assistance at the right time.
Personalized steering thresholds learned from overtaking maneuvers help ESA engage at the right moment and improve collision avoidance.
Weighted driver steering input and ADAS trajectory control are combined to improve tracking precision and adaptive response in dynamic driving.
Before automated driving starts at rest or low speed, the system checks steering-path alignment and corrects angle mismatch to avoid path deviation.
Maps vehicle dynamics knowledge into a simplicial complex so rule-based IOV knowledge can be retained and used in learning-based systems.
Optical feature distributions trigger parking path data updates only when similarity drops, preserving localization reliability and computing power.
A pin-guided eccentric axle adjuster replaces threaded parts and fastening lugs to resist dirt and corrosion while simplifying alignment.
Differential braking is used to estimate free-rolling front-wheel steering angle, preserving steering assist during Steer-by-Wire failure without extra sensors.
A base parking trajectory is corrected onboard with vehicle parameters, reducing external processing load while keeping path accuracy.
Automatic stop mode stays active through remote parking completion, preventing forgotten shutdowns without causing unintended stops in normal driving.
Resetting the acceleration control integrator when a vehicle crosses a step prevents excessive braking force and preserves ride comfort during parking.
A neural network predicts driver steering intent, then MPC and haptic feedback smooth takeovers and handle unseen road situations.
Sensor-based passage ranking helps a mobile platform choose routes with more nearby parking spaces, cutting redundant exploration time.
Front and rear sideslip angle estimation improves steering control accuracy in large-angle curves, helping stabilize vehicles at speed.
Automatic corrective steering counters yaw from asymmetric braking by comparing detected yaw variables with limits using existing vehicle sensors.
Registered wheel-stop positions let parking assist shrink the contact assumption area, reducing slow travel without harsh wheel-stop contact.
Wheel speed signals validate steering wheel torque sensing to filter road-induced false positives without adding cameras or capacitive hardware.
Image-based wheel stop estimation shortens low-speed travel and adjusts contact control by object type for more convenient parking.
A forked shim with breakaway slots and a retainer enables quick suspension wear-part replacement without full disassembly, cutting downtime.
Map-based width guidance shows the vehicle's maximum path envelope ahead to help drivers avoid off-tracking collisions in narrow maneuvers.
Driver brake, steering, and accelerator inputs reset the travelable region so automatic parking avoids repeated obstacle-side interventions.
Registers a driven parking path with image features and 3D objects so assist can start from valid sections before the vehicle reaches the spot.
An odometry buffer preserves vehicle pose history to restore heading and stabilize trajectory after evasive steering when lane perception is degraded.
When parking is interrupted by an obstacle, the system resets the reverse-route start point and quickly generates a new parking path.
Variable steering gain adapts to loading and tire changes to cut cornering offset and keep the vehicle centered in its lane.
Real-time understeer gradient updates keep vehicles centered through corners by adapting steering to load changes without abrupt path shifts.
Sensors and steering let a double-parked vehicle detect when another car needs to leave and move itself safely around obstacles.
Sensors and vehicle-state monitoring define a safe emergency stop area during autonomous valet parking to reduce collision risk during malfunctions.
LiDAR, camera, and wheel speed data are fused to generate target and compensator angles for steadier lane centering in weather and complex lanes.
Traffic sign distance cues refine deceleration-lane start detection when camera range and map data are insufficient for timely lane changes.
Sensor-driven checks predict rain, clearance, or other obstacles before carrying out external vehicle gestures, preventing unsafe actions.
A fixed turning position and pre-set steering angle simplify reverse parking control while improving alignment with available spaces.
Camera-based control shifts vehicle-to-lane distance for emergency vehicles and side hazards, improving lane-keeping adaptability and safety.
A harder insert reinforces the elongated adjustment hole in a light-metal control arm to resist bolt wear, deformation, and service damage.
Area-based path costs for gear shifts, steering, and obstacle types help automatic parking follow manual-like paths with fewer surprises.
A harder insert in the control arm's elongated adjustment slot resists wear and deformation while preserving lightweight suspension design.
Learns driver override patterns to adjust parking assistance auto-switching, reducing distracting alerts while keeping tailored guidance.
Offsetting lane-center trajectories by curvature and azimuth helps autonomous vehicles follow expert-like out-in-out lines for smoother handling.
Obstacle-aware parking guidance updates the displayed moving area with steering angle changes to keep the route clear and parking smooth.
Recorded driver parking paths are reused with Dubins path planning to self-align the vehicle and complete autonomous parking without manual realignment.
A steering wheel image updates by rotation count, direction, and operating state so users can quickly understand multi-turn steering input.
Pre-steering before a gear-change trajectory endpoint makes autonomous parking smoother, faster, and more human-like while reducing tire wear.
Blind spot detection on the oncoming lane reshapes obstacle avoidance sections and route curvature to improve driving safety and reduce driver anxiety.
By combining lane line and guardrail data, this case maintains accurate lateral vehicle control when lane markings are weak or missing.
On sloped parking zones, automatic steering uses slope and obstacle detection to redirect a rolling vehicle away from traffic if the brake fails.
Low-speed steering resistance and driver indicators help teach a park path that autonomous steering can follow accurately in narrow spaces.
Imaginary lane boundaries shift around in-lane objects so lane departure suppression keeps clearance without frequent warnings or driver annoyance.
Different distance thresholds for normal and suppression stationary objects cut unnecessary avoidance control while preserving safety coverage.
Ends lane-centering steering assist when lateral velocity to the lane boundary falls below a threshold, reducing intrusive intervention time.
Calculating a minimum lateral gap from cross-track and perception errors helps autonomous vehicles trigger safer, more controllable driver takeovers.
Dynamic reversing trajectories use obstacle sensing to steer the vehicle around hazards and reduce driver workload during backing.
Front camera parking-space data is merged with the rear view to keep space boundaries visible during reversing in rain or low light.
An enlarged overhead image maps the taught parking route and nearby objects, making vehicle position and surroundings easier to understand.
Distance and elapsed-time checks suppress unintended parking assist after departure while preserving automatic activation near the target space.
Real-time steering-angle updates and obstacle-aware route setting keep parking guidance accurate and help avoid interruptions during maneuvers.
Actuators and sensors replace manual wheel alignment changes, enabling fast suspension adaptation for handling, comfort, and lower tire wear.
Camera-based training defines and stores an adjustable driving corridor, enabling obstacle-aware automated vehicle movement on user-guided paths.
Planned-trajectory data defines a sensor region of interest, improving collision detection accuracy and reducing false positives in autonomous vehicles.
Dynamic sensitivity adjustment modifies lane positioning control during automated to manual driving transitions.
A transverse motor drives a leadscrew to adjust wheel camber angles dynamically.
Automatic lateral guidance calculates a target steering angle from detected relative deviations, reducing driver mental stress during close platoon following.