Autonomous Decision Making Process TRIZ Cases

Adjusting vehicle ceiling antenna positions via signal strength analysis resolves the trade-off between seating detection accuracy and system complexity.

A server manages robot movement queues and dynamic routing to resolve deadlock bottlenecks in narrow passages.

A vehicle control system adapts driving behavior by retrieving location-specific parameters from a server to align acceleration and steering with local norms.

A vehicle drive assistance control unit assesses the balance state between required and current driving ability using physical quantities related to driver operation.

A hybrid delta-sigma and Nyquist data converter dynamically modifies performance via a programmable RF front-end.

Cell-based control guides the vehicle to low-frequency zones, resolving uneven mowing disparities and ensuring uniform surface quality.

Predictive maneuvering positions the vehicle to minimize injury by optimizing passenger orientation during imminent collisions.

A mobile robot system segments video streams to display unprocessed footage in security zones while protecting privacy areas.

A motor vehicle compiles digital maps using onboard surroundings sensors during manual driving phases to support autonomous navigation.

A bladder safety system deploys external cushions to absorb collision forces on autonomous vehicles.

Warehouse management system processes operation information using a transfer matrix to adapt routes between vehicles.

A travel path prediction unit processes surrounding influence information to forecast vehicle trajectory deviations before actual movement.

A vehicle controller autonomously calibrates control parameters by determining current offset data reference values and performing offset correction.

Adaptive trajectory planning adjusts point density and buffer sizes for autonomous vehicles navigating complex environments.

A hinged cover conceals manual inputs during autonomous driving to prevent accidental mode changes while allowing immediate access when opened.

A vehicle control device receives multi-layer map data from a server to generate driving control signals.

A vehicle control system uses fuzzy logic to assess sensor data and operator state for mode transitions.

A shoe-mounted sensor detects foot position and pressure to control vehicle acceleration or deceleration.

A machine learning model scores discrete trajectory proposals against a vehicle environment raster to determine predicted object motion paths.

Context2vec embeddings embed contextual information into vector space models, resolving the trade-off between decision accuracy and processing time.

A movable device uses a range finder to detect reflected light in multiple fields of view for simultaneous localization and mapping operations.

Fixed sensors transmit stationary status data to vehicles, resolving insufficient onboard detection of static objects at intersections.

Location data from sensors supplements error-prone driver input to improve measurement precision of control decisions and reduce driver workload.

A multi-tier deep neural network classifies image data to assign specific regression tasks, enabling scalable autonomous driving without hard-coded rules.

A processor determines washer fluid levels using sensor data and vehicle motion signals to maintain cleaning system operation.

A modular autonomous delivery robot uses interchangeable containers to transport diverse items across facility routes.

Virtualized power domains isolate faults, reducing weight and cost while maintaining reliability.

A vehicle control system automatically initiates automatic driving based on recognized position and surroundings.

Diagnostic ECU monitors input voltages and currents against real-time inertial waveforms to detect intermittent electrical faults.

A flight controller assesses remaining battery life against permitted time zones to determine departure eligibility for unmanned flying objects.

A world model generates hypothetical dark objects in unperceived areas to support autonomous vehicle trajectory planning.

A yaw rate monitor detects tire-road interface anomalies in autonomous vehicles using sensor data.

Transfer learning adapts a base driver model to scarce vehicle types, resolving the contradiction between specialized accuracy and broad applicability.

Nitrogen-vacancy diamond sensor detects magnetic field variations through red photoluminescence changes.

A vehicle computer detects external light faults and actuates platoon formation with a second vehicle to maintain safe navigation.

A prediction module generates lane-following and go-around hypotheses for oncoming vehicles to compute reference drivelines.

Predictive content rotation aligns display orientation with vehicle dynamics, eliminating motion sickness caused by fixed visual presentations.

Processor-based systems monitor driver characteristics to transfer vehicle control to a remote operator when impairment is detected.

Aligns raw measurement data into an environmental coordinate field to resolve decision-making delays and maintain object detection confidence.

A computing system adjusts cost map weights based on detected environmental events to guide autonomous device movement.

A control unit compares actual and setpoint trajectories to detect sensor performance deviations.

A movable driver station module repositions a steering wheel and electronic communication interface element between manual and automatic driving configurations.

A vehicle system estimates sensor obstruction profiles from moving objects to determine autonomous navigation feasibility at intersections.

A navigation system identifies external sonic events and calculates their position relative to the vehicle.

A corridor-based framework generates optimal vehicle trajectories using model predictive control for semi-autonomous operator assistance.

A management device determines a target drive mode from an allowed set and sends indication information to a vehicle control unit.

A vehicle control system tracks a perceived yaw center location to adjust stability parameters.