Control Safety Arrangements TRIZ Cases

Controller activates rear warning device and optical sensors during reverse movement to provide visual feedback without requiring a spotter.

Flight computer automatically switches control modes when sensors detect obstacle proximity, reducing controlled flight into terrain risks.

A vehicle controller adjusts operations based on detected failure levels to manage autonomous travel states.

System disables autonomous driving when credentials trigger constraints, ensuring drivers develop manual skills during learning or exam periods.

Aircraft control system switches between surface deflection and thrust integration laws to maintain stable flight.

An aircraft emergency descent device calculates a security altitude based on remaining horizontal distance to determine the target descent level.

A vehicle system selects stop points using server-based sensor data from satellites and road infrastructure.

Information processing device merges image data from adjacent vehicles to maintain autonomous driving control when a primary camera fails.

Vehicle apparatus identifies nearby user devices and transmits intended path data to establish local wireless communication links.

Operations management apparatus detects collision probabilities between automated machines and wearable safety vests to generate control signals.

A confidence appraisal system varies acoustic feedback to inform drivers of autonomous operation status.

Controllably vented airbags stabilize aircraft fuselage during impact events, preventing pitch-over and reducing decelerative forces.

A fault-tolerant computer architecture uses a monitor to verify commander-generated trajectories against a safety envelope.

Remote error detection and reset signaling through a wireless interface eliminates physical proximity requirements while maintaining operational safety.

A management control device generates an overtaking path using segmented travel permission sections to optimize lane changes.

Substitute ECU executes emergency path control using feedforward and feedback mechanisms to maintain vehicle trajectory.

A vehicle control system selects a camera lens focal length to determine distance between the vehicle and a mobile device.

An unmanned vehicle information sharing system transmits travel data and safety signs to a central server for adaptive driving control.

A risk situation determining unit evaluates collision avoidance feasibility by measuring distance, relative speed, and road friction to assess turning and braking capabilities.

ECU calculates driver tiredness using sensor data to guide vehicles toward preferred stops before fatigue thresholds are reached.

A risk assessment profile analyzes brainwave activity and eye movements to control autonomous vehicle mode transitions.

Controller determines tire wear status using steering angle and turning radius data, resolving adaptability issues in varied usage scenarios.

Aircraft alert system kernel uses binary parameter databases to configure software engines without recompilation.

A dual microcontroller interface exchanges data between independent operating systems in motor vehicle control units.

Detection systems identify emergency vehicles and transmit autonomous status data, enabling right-of-way ceding for safer coordination.

Segmented authorization levels reduce system complexity while maintaining data security during centralized unmanned vehicle coordination.

Visual signal matching confirms user presence to prevent unsafe automated maneuvers during remote operation.

Delegates vehicle control to authorized users through digital authentication tokens, resolving oversight gaps in autonomous systems.

A processing apparatus detects peripheral information to identify stopped vehicles and walkers on opposite road sides.

A real-time safety detection model calculates security scores from driving behavior features to assess vehicle operation.

A vehicle controller transmits counter signals to a mobile device and measures the return time period to manage autonomous parking movement.

Extrapolates actual flight parameters against reference trajectories to correct performance discrepancies and ensure safety.

Separate communication network links tactile unit to second computer, allowing pilots to modify displayed information without avionic interference.

Filters static pressure differences between geolocation-derived and sensor-measured values to eliminate altitude drift caused by engine thrust effects.

A safety envelope constrains machine learning outputs within verified control boundaries.

Mechanical spring systems supply resisting torque for aircraft control columns, maintaining safe operation during electrical failures.

A vehicle-mounted millimeter-wave communication device dynamically adjusts antenna directivity to track partners.

Navigation aid calculates predicted protection radii along a future path to assess maximum time available for reaching safety altitude.

A lower-level control device holds pre-calculated target values from a higher-level controller to maintain actuator operation during system failures.

A vehicle control system acquires basic parameters and compares them with stored lists to determine specific operational states.

Local computing system detects passenger door actions to control vehicle deceleration and stopping for safe autonomous exit.

Monitoring autopilot roll output generates alerts when authority limits approach, notifying pilots of flight asymmetries before control saturation occurs.

A computer manages safe, manual, and enroute modes to segregate flight planning from manual commands.

A computing system processes interior and exterior sensor data to identify user action signals for timely autonomous vehicle control release.

A remote vehicle control device processes synthetic images from onboard cameras to enable intuitive gesture-based operation.

An adaptive mood control system adjusts autonomous vehicle operational modes based on real-time emotion detection.

An unmanned aerial system transmits position signals only when entering restricted airspace or detecting obstacles.

On-board computing systems detect faults via local parameter monitoring, eliminating communication latency and enabling immediate autonomous vehicle stopping.

An autonomous towing robot relocates immobilized cars from blocked lanes, restoring operational flow after driving errors.