External Condition Input Parameters TRIZ Cases

Segmented assistance systems evaluate action frequency to resolve the contradiction between measurement precision and device complexity.

Generates fallback trajectories using second uncertainty distributions for safe stopping when localization improves.

A prediction system combines direct sensor data with indirect historical indicators to estimate future target object movements.

Polynomial curves create smooth acceleration transitions in adaptive cruise control, eliminating abrupt jerks during mode switches.

Stationary objects transmit non-movement data to calculate vehicle speed, resolving urban satellite signal blockage errors.

A control device switches automated driving vehicles between scheduled controlled routes and unscheduled non-controlled paths.

A vehicle control device sets lane change parameters based on recognized lane types.

Relocating detection to roadside infrastructure eliminates complex vehicle sensors, reducing fuel waste through proactive speed guidance.

A speed controller segments vehicle standstill into dynamic and intermediate phases to maintain driver awareness during automatic restarts.

Segmented boundaries trigger fail-safe actions when deviations occur, resolving the trade-off between control simplicity and adaptability.

A driver attentiveness game system engages operators through interactive stimuli and input analysis to maintain focus during semi-automatic driving.

A dual-network in-vehicle architecture connects autonomous driving components via separate communication paths.

A steering wheel contact detecting unit uses embedded electrodes to identify driver hand presence and enable rapid operation mode transitions.

Processor compares theoretical and measured lateral acceleration to generate an error term, adjusting ADAS control limits when deviations exceed thresholds.

Occupant identification systems retrieve stored driving restrictions to enforce safety parameters without manual passenger input.