Autonomous Decision Making Process TRIZ Cases

A vehicle control system segments proximate objects to generate cost data for motion planning.

A robot control apparatus generates priority data for tasks to schedule assignments across multiple mobile units.

A vehicle sensing system segments environmental data into distinct spatial zones to process measurements with varying complexity levels.

A vehicle control device specifies blind spot boundaries to generate collision avoidance traveling plans.

A vehicle computing system uses sensor data to determine the probability that an object is particulate matter.

A peripheral information detection sensor mounts within a vehicle window frame, concealed by an opaque covering member.

An automatic speed control system adjusts vehicle acceleration limits based on wheel brake caliper temperatures.

A driver assistance system adapts functions by estimating environmental feature probabilities using multi-sensor detection.

A system analyzes vehicle braking data to identify roadway events of interest.

Omniwheels with attitude sensing maintain balance stability while navigating complex outdoor environments.

An access control system evaluates vehicle capabilities to manage roadway entry.

Autonomous robots scan front and back shelf barcodes to detect missing items, resolving manual inventory tracking inefficiencies.

Autonomous vehicle sensors calculate spatial redundancy to selectively enable or disable navigational actions based on data overlap.

Rotatable laser scanner classifies surfaces via distance and signal strength measurements, eliminating labor-intensive guidewire installation.

A vehicle control protocol message converts proprietary signals into standardized instructions for autonomous driving systems.

Visual navigation buoys replace expensive laser scanners and GPS receivers, reducing system cost while maintaining high navigation accuracy.

Movement control system classifies obstacles by existence duration to resolve the contradiction between dynamic adaptability and noise interference.

Backing system detects side objects and predicts front wheel paths to prevent collisions during reverse maneuvers.

A vehicle control device maintains acquired movement states for a predetermined time or distance after switching to automated driving.

A multi-mode unmanned vehicle platform integrates hybrid propulsion and adjustable buoyancy for autonomous maritime operations.

A motor driven power steering control unit calculates steering angle acceleration to detect urgent maneuvers.

UV light and phosphor coatings sanitize autonomous food lockers, verifying cleanliness without human intervention.

A control system prevents premature autonomous vehicle dismissal by verifying passenger and luggage presence through sensor data.

A steering control system minimizes path tracking errors using one-dimensional nonlinear optimization of vehicle front steering torque.

A blending controller adjusts steering output weights based on vehicle speed to stabilize motor-driven power steering signals.

An information processing device controls a traveling unit to transport a resting unit to a selected vacant parking lot near the user.

An autonomous travel vehicle introduces commodities to users and transports them to a service base.

A neural network selects quality factors to expand a search tree for autonomous driving motion planning.

A driving support device uses drag-and-drop vehicle icons on a display to control automatic following travel.

A control system analyzes project plans to determine excavation and dumping locations based on material properties.

A parking planning system generates vehicle trajectories using kinematic constraints and obstacle movement predictions.

Self-driving motor vehicle transports unaccompanied passengers using sender and recipient authorization checks to unlock doors at the destination.

A distributed knowledge base integrates GPS, camera, and lidar data to enhance vehicle localization accuracy.

A driving assistance system calculates maneuver probability distributions to identify road user actions.

Automated service management system directs autonomous transporters to designated locations for maintenance tasks without user intervention.

A drone subsystem configures autonomous inspection paths using a hierarchy of simulated augmented views and historical operational data.

Encoding and decoding modules generate reconstruction data to identify errors for calculating scaled anomaly scores.

A control device coordinates vehicle approach and coupling to enable passenger transfer between moving vehicles.

A reporting device analyzes external environment data to identify outside recognition failures in connected vehicles.

A driving control system plans barrier-avoiding paths using real-time safety analysis modules.

A constrained smoothing spline approach generates smooth speed trajectories for autonomous vehicles using quadratic programming optimization.

Stochastic trajectory analysis compensates for sensor limitations and outdated map data to improve path precision.

A system collects vehicle behavior data to optimize transportation infrastructure configurations.

Pre-generated 3D environmental models enable rapid drone interception path planning while reducing real-time computational complexity.

A control system monitors autonomous vehicle steering rate of change to adjust motor torque for safe operation.

A remotely piloted aircraft modifies flight parameters using pre-loaded instructions triggered by real-time communication quality metrics.

A trajectory generation system varies point density along vehicle paths to optimize computational load and navigation accuracy.

Sensor redundancy enables autonomous vehicles to detect dynamic objects and social interactions through adaptive lighting and multi-modal fusion.

Tilting a forward-facing camera at an acute angle increases disparity observation, resolving limited parallax in mobile robot localization.