Steering Parts TRIZ Cases

Sensors detect reverse parking and limit backing speed near hidden parking stops, reducing impact and improving ride comfort.

A controller checks whether the vehicle is in a restricted lane and blocks automated lane changes that would violate lane-use rules.

External signals show whether maneuver conditions and user actions are complete before a driverless vehicle maneuver starts.

By inverting steering input during reverse with a connected trailer, drivers can back up more intuitively without extra hardware or a spotter.

Multiple learned parking routes let the vehicle switch to another space mid-parking when the first target is occupied, avoiding re-parking.

Neighbor-lane traffic detection shapes pre-boost acceleration so overtaking starts faster while keeping safe distance and occupant comfort.

Adaptive torque thresholds use incline, steering angle, and curb context to keep parking assist active during harmless steering loads.

Steering torque and angle sensing let lane-keeping control create a new path that follows obstacle-avoidance intent without uncomfortable correction.

An enlarged overhead image links a taught parking route to nearby roads and objects, helping users verify or redo route registration.

Position- and mode-based control limits acceleration only during parking, avoiding unwanted suppression during normal driving.

When an operator rides in another vehicle, startup suppression keeps that vehicle stopped so attention stays on remote movement of the target vehicle.

An enlarged overhead image shows the teacher-driven parking route with nearby roads and objects, improving positional understanding during autonomous parking.

Motor-driven wheel alignment control enables real-time camber, caster, and toe adjustment to improve handling, tire wear, and fuel efficiency.

Sensors detect when a driver’s body enters the steering lever rotation space and warn before contact during autonomous lateral control.

Surroundings sensing measures parking space length so the vehicle aligns to the right boundary object and parks with fewer correcting moves.

Predicting after-next lane changes and cut-ins helps issue lane change warnings only when needed, improving safety and reducing false alerts.

Grip-sensitive lane change cancellation uses lane marker distance thresholds to improve cancellation accuracy and driving safety.

Road elevation data from the recorded trip keeps the return-path display aligned with the actual roadway in camera images.

By shifting tire camber to move the contact patch between tread zones, EVs can balance off-road traction with lower rolling resistance.

Adjacent-lane object detection shifts the trigger line so steering intervention prevents unintended lane departure while keeping safe clearance.

Start-button gaze calibration corrects driver-specific line-of-sight errors, improving visual check alerts during automatic parking.

In-vehicle EPS data and a second-order model enable simulation tuning of feedforward and feedback control to improve lane centering comfort.

Interchangeable slugs in a joint mounting plate enable precise camber and caster adjustment without sacrificing installation clearance.

A spring control arm and aligned upper-arm geometry let camber change without altering toe-in, simplifying alignment and reducing linkage interference.

A blocking-line check keeps traffic space occupied during nonfinal parking moves, preventing interference with corrective maneuvers.

Predicting occupied road regions instead of arrival timing helps autonomous vehicles handle complex maneuvers with higher accuracy and safer path control.

Maps vehicle dynamics knowledge into a simplicial complex so steering, curvature, and speed rules can be reused with explicit safe boundaries.

Tiered alerts tied to steering and later obstacle response help distracted drivers react to automated avoidance and reduce collision risk.