Steering Parts TRIZ Cases

Switching between first- and second-order follow-up trajectories stabilizes steering on curved roads and varying inter-vehicle distances.

Combining touch and torque sensing improves steering-wheel grip detection, reducing false warnings and abrupt steering assist cancellation.

Stage-specific threshold values let an active parking assistant accept useful deviations early and avoid unnecessary parking movements.

Visual and haptic correction cues prepare drivers for lane-keeping steering intervention, reducing panic responses and supporting safer lane control.

Driver prompts and brake-release monitoring let parking assist resume smoothly after shift changes at direction switching points.

A projected stop line and gesture detection let an outside user set where a parked vehicle should move when exiting a parking facility.

Touch sensors in the steering wheel detect one- or two-hand driving and trigger speed-based alerts to improve vehicle control.

Pinned flag nut apertures set control arm position for precise camber, caster, and toe adjustment while reducing binding and part complexity.

Dual yaw-angle and steering-angle termination logic prevents premature steering release and keeps the vehicle aligned with its lane.

Combining surroundings and vehicle indicators improves manual parking recognition and avoids incorrect brake booster activation.

Combining onboard and offboard obstacle sensors with synchronized alignment improves blind-spot detection for parking and vehicle guidance.

Kalman filtering of yaw rate, wheel speed, steering angle, and track width improves tire circumference accuracy for precise parking maneuvers.

Differentiated bush rigidity and shock absorber geometry reduce rear-wheel toe delay during cornering for quicker steering response.

A teleoperation assembly gives remote drivers a third-person view while sensors manage traction and center of mass on difficult terrain.

Surface-aware camber adjustment laterally shifts the tire contact patch to improve traction and maintain vehicle progress on rutted or slippery terrain.

By combining perception error, cross-track error, and speed buffers, this case sets safer lateral gaps for driver takeover.

Stored feature points and reduced route data let a vehicle switch from manual to automatic parking even when it stops away from the learned start position.

By combining image feature points and 3D object data, this case shows how parking assist can start earlier and alert drivers before they pass the usable section.

Advance lane-change alerts let automated driving continue when the driver merges early, while late merges trigger a higher-task mode.

Stored feature points and route data let automatic parking resume from different stop positions while reducing control-unit calculation load.

Neural networks and driver models assess maneuver feasibility from current driving situations to improve lane-change and overtaking decisions.

Degrees of freedom in the rotor-sensor mount compensate coupling movement and deformation for precise semi-trailer articulation angle measurement.

Centralized arbitration shares actual steering angle across driver assistance functions to improve steering accuracy and reduce redundant processing.

Sparse regression identifies a concise vehicle-specific control model from driving data, cutting manual tuning and improving disturbance rejection.

Road grade from maps or LiDAR guides wheel-angle control during autonomous parallel parking to keep curb contact and limit vehicle roll.

While entering one parking space, the system detects a forward adjacent space and repositions the vehicle for easier, safer exit.

Classifying parking region type lets the controller choose a suitable reference point for accurate automatic parking in lined or unlined spaces.

A detachable inner-C mounting lets a front axle independently tune caster and pinion angles to reduce vibration and steering instability.

Multi-camera parking-space detection and vehicle state feedback help guide a vehicle into tight spaces despite blind spots and obstructions.

Detachable inner-C-forging mounting lets a front axle tune caster and pinion angles independently while preserving strength and steering stability.

Centralized arbitration of driver assistance steering requests uses actual steering angle feedback to improve control stability and cut redundant development.

Camera-based training builds a reusable driving corridor that lets vehicles follow user-taught paths while adapting to obstacles.

When a lead vehicle blocks the road view, steering cues, lane data, and relative lateral speed help the following driver steer safely.

By recalculating target slot boundaries from obstacle contact points, this case cuts ultrasonic parking spot errors and improves parking accuracy.

By handing over control before the vehicle reaches the space, the controller can pre-calculate trajectory and reduce parking maneuvers.

By selecting parking paths with minimal direction changes and larger curvature, this case reduces back-and-forth maneuvers and passenger discomfort.

Real-time parking stage feedback shows control progress and timing, helping prevent incorrect inputs while improving automatic parking usability.

Steering assist is scaled by how fast a vehicle moves toward a lane marker, improving lane keeping without proprietary hardware.

Entry-width-based parking control shifts the vehicle center or offset position to preserve usable space in unmarked parking areas.

Obstacle-aware parking guidance updates the displayed moving area with steering angle changes to improve parking reliability and avoid interruptions.

A repositionable insert for the eccentric adjuster keeps toe-in consistent across ride heights without changing chassis attachment points.

By tracking the lead car's width, the motorcycle stays within its lateral envelope to improve steering control and avoid delayed obstacle detection.