External Condition Output Parameters TRIZ Cases

Discrete observation points cut path-planning load, letting mobile objects generate low-risk trajectories fast enough for real-time control.

A runtime safety monitor lets autonomous vehicles offload sensor processing when latency is acceptable, cutting local energy use despite link uncertainty.

Jerk-limited corrected acceleration helps adaptive cruise control avoid abrupt braking when a target vehicle merges, improving comfort while maintaining safety.

When obstacle headway becomes too small, this case switches from jerk-limited optimization to adaptive cruise control for safe deceleration.

Uses spacing between nearby stopped vehicles to set a more appropriate standstill gap, improving comfort and smoother stop-go transitions.

A unified acceleration selector resolves conflicting controller commands and feeds back the chosen value for smoother automated driving transitions.

Subtle longitudinal motion cues notify occupants that driving automation is active, improving confidence without visual or auditory alerts.

Dynamic vehicle spacing and preselected control signals enable safer lane changes and stops during autonomous driving faults.

Dynamic vehicle spacing and lateral acceleration control enable safer minimal risk lane changes and stops during sensor faults or adverse weather.

Automatic restart uses lead-vehicle speed, gap sensing, and drivetrain delay to time torque application for safer, smoother stop-and-go driving.

By comparing TTC across multiple preceding vehicles, the control unit catches sudden upstream braking and avoids false alarms.

Dashboard range graphics show speed or following distance within control limits, reducing driver confusion during automated vehicle control.

Learns a driver's preferred following gap during manual driving and applies it in automated driving while filtering data by preceding vehicle type.

Mode-linked ACC and traction control adjust speed, spacing, and slip response for snowy, muddy, and normal road conditions.

Dynamic trajectory and speed control helps a turning vehicle cross oncoming lanes while maintaining safe distance from multiple vehicles.

Network quality data and mobile units pinpoint jamming locations in industrial wireless networks without dedicated detection hardware.

During driver overrides, the ACC system detects operator intent and adapts mechanism settings for more intuitive and safer vehicle motion control.

An automated first maneuver pass and live query response help operators mimic expert execution while cutting training time and cost.

Cross-traffic speed-vector prediction enables earlier target-speed reduction, avoiding harsh emergency braking while preventing collisions.

Comparing commanded and actual machine speed reveals early traction loss, helping remote operators avoid stalling on loose or wet ground.

By estimating speed, momentum, and rear-wheel slip angle of a vehicle ahead, this case enables earlier spin prediction and collision avoidance.

Actual acceleration thresholds suppress unnecessary downshifts during cruise control, reducing shift shock and transmission load.

Rotating radar reflectors give stopped vehicles distinctive returns, helping adaptive cruise control react earlier without visual confirmation.

A vehicle safety system adjusts buffer size and heading from state errors to avoid overly cautious collision checks and unnecessary braking.

Conditional product-number waiting and timed consistency checks cut update load while keeping vehicle software activation reliable.

A host vehicle uses lead-vehicle lag prediction to keep gap control stable and avoid sudden acceleration or braking.

Two proximity sensors with different ranges let autonomous mining vehicles slow early and trigger collision avoidance in confined underground mines.

When following distance gets too short, requested acceleration is adjusted to lengthen the gap and reduce friction brake wear.

Recorded parking paths are adapted to steering, speed, and acceleration limits so automated maneuvers finish reliably with minimal deviation.

When a vehicle start-up fails on obstacles or uphill grades, updated drive parameters enable safe retry attempts instead of immediate aborts.

Periodic differential locking based on wheel-speed slip and traveled distance helps working machines keep traction while limiting wear.

When radar temporarily loses the lead vehicle, the controller blocks acceleration based on camera-only detection to maintain safe spacing.

Traffic model predicts lead obstacle movement to reduce excessive braking and improve fuel efficiency.