External Condition Input Parameters TRIZ Cases

Dynamic control ranges adapt to surrounding traffic distances, resolving the contradiction between automated driving extent and travel precision.

A vehicle traveling control device predicts future speed changes of moving objects to modify a traveling plan.

A travel control device adjusts following distance thresholds based on deceleration rates to manage brake lamp illumination timing.

A parking assist apparatus generates multiple speed patterns and selects a target pattern based on surrounding object information to control vehicle travel.

A driver assistance system selects and updates control parameters to provide dynamic feedback operations.

Cartographic data filters steering signals to isolate driver corrections, reducing false alarms caused by route curvature in vigilance monitoring.

A vehicle control system adjusts target inter-vehicle distance based on proximity to temporary stopping locations.

A vehicle warning system transmits risk identification messages via V2V networks to trigger autonomous defensive driving modes.

Estimating vehicle weight using dominant motive force and topographical data reduces reliance on noisy acceleration signals.

Control unit monitors accelerator pedal inputs to switch from distance controller to adaptive cruise control, resolving transition smoothness issues.

Dynamic speed and distance adjustments optimize fuel economy while maintaining safety during abrupt braking events.

A vehicle changes lanes to improve detection unit visibility around bends.

A vehicle control apparatus calculates curve travel speed based on longitudinal position error and radius to maintain autonomous lane keeping.

Relative height calculations from a distance sensor detect narrow road boundaries, reducing accident risks on protruding paths without guardrails.

Processor-based system anticipates slippery road conditions to automatically engage all wheel drive.

A collision avoidance apparatus calculates Time To Collision with rearward vehicles to trigger forward acceleration or lane changes.

A driving force control apparatus adjusts proportional gain based on road inclination to restrict vehicle acceleration.

Controller estimates vehicle mass and road grade using sensor data to resolve precision reliability trade-offs.

Periodic display of a flashing alert pictogram alongside driving parameter graphics prevents constant visual alerts from erasing critical information.

An object recognition device estimates traveling direction to adjust integration determination distance along the detected trajectory.

Automated telematics analysis detects driver drowsiness using vehicle dynamics and sleep data, replacing unreliable self-reporting with objective sensor inputs.

An adaptive speed control system adjusts velocity setpoints based on forward-facing sensor data and preceding vehicle speeds.

Processor distinguishes parked from traffic-stopped vehicles using sensor fusion, resolving waiting delays while maintaining collision safety.

A remote control apparatus adjusts buffer storage duration to reduce communication latency during vehicle operation.

An envelope control system uses a universal scheme to generate vehicle motion signals from driver or pseudo-driver inputs.

A vehicle trajectory control method uses a driving corridor to regulate the actual path via a residual target trajectory.

System analyzes driver behavior using existing vehicle and portable device sensors to determine impairment state.

Driver assistance system detects accelerator pedal activation during stationary states to enable manual speed control.

A vehicle control apparatus regulates course changes via a dedicated regulation unit that adapts to real-time travel situations.

A vehicle controller automatically adjusts steering and braking forces to stabilize the chassis during impact events.

A vehicle torque control method estimates speed evolution based on road slope data to optimize transmission phases.

A consistency check module verifies perception outputs against expected behavioral patterns to identify anomalies in real time.

A driver monitoring system establishes a personalized zero-point reference for facial orientation angles using vehicle speed and camera data.

A joining control portion determines positional relationships to incorporate independent vehicles into convoy groups.

A vehicle collision avoidance controller operates braking then steering to prevent impacts with identified obstacles.

An automatic inter-axle differential lock system transfers braking torque between axles to enhance vehicle control.

A vehicle detection system uses virtual boundaries and constraint values to predict target maneuvers.

A vehicle processor calculates longitudinal dispersion from multi-layer LiDAR data to determine front vehicle height.

A driver assistance system uses radar data to determine static targets and correct vehicle velocity.

A vehicle control device compares actual movement with planned strategies to correct maneuver lines and optimize energy efficiency.

A brake controller releases hydraulic pressure to coordinate with power train torque generation.

Safety system uses sensors to detect approaching vehicles and performs evasive maneuvers, reducing rear-end collision severity in traffic jams.

Fleet data aggregation determines precise geo-location of road hazards, enabling vehicles to adjust suspension systems for improved safety.

A vehicle control device determines speed distribution areas for external objects to restrict relative speeds.

A vehicle driving mode controller predicts highway entry using position data to switch modes automatically.

A slope-corrected autonomous driving method adjusts target vehicle recognition using host and target vehicle incline data.

Combines satellite navigation with inertial measurement to detect gravity direction, resolving wheel slip errors during lift-off or steep inclinations.

A vehicle event recorder system analyzes sensor data to detect anomalous events and trigger automatic state changes in driver assistance systems.