Steering Parts TRIZ Cases

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.