Autonomous Decision Making Process TRIZ Cases

A monitoring apparatus adjusts data acquisition frequencies dynamically to reduce system resource occupation.

Audio data from microphones identifies occluded parked vehicles with running engines to enable collision avoidance.

Vehicle control system selects remote operators matching occupant driving styles to resolve comfort contradictions.

A vehicle control system computes adjusted lane curvature and heading from camera data to maintain precise lateral position.

A trajectory planning system represents moving obstacles using key points in a station-time coordinate system.

A driving assist system notifies vehicle occupants before switching control modes based on detected scene changes.

Distributed control system manages vehicle position and speed along guided paths using GPS and inertial navigation data.

A dedicated active braking circuit reverses motor direction via CPLD commutation to stop autonomous mobile devices quickly without toppling.

Compensates for wheel slippage errors by comparing optical position data with mechanical rotation measurements to improve traveling distance accuracy.

Reflective location indicators replace GPS signals, enabling accurate autonomous vehicle navigation in indoor facilities with signal interference.

Self-driving vehicles use cameras to detect rider items and smoke, triggering autonomous retrieval and safety responses.

Autonomous driving system monitors driver biophysical data to detect medical emergencies and execute safe vehicle evacuation.

A navigation system determines optimal trajectories using pre-stored coefficient sets for lateral shift and velocity calculations.

Ground penetrating radar systems detect embedded road reflectors to provide precise lane tracking in urban canyons where GPS signals fail.

A trajectory manager process performs validity checks on potential paths to ensure collision-free navigation.

A drone control system configures flight plans to gather spatial data using active learning algorithms.

A vehicle computing system processes real-time obstacle data to determine speed strategies that preserve momentum and reduce unnecessary stops.

Autonomous ground vehicles deliver inventory holders to transfer locations, eliminating agent wait times and reducing delivery costs.

Trained neural network learns noise models to generate simulated sensor data, bypassing photo-realistic rendering bottlenecks during full-stack verification.

Autonomous navigation reduces installation complexity by replacing fixed sensor arrays with a single mobile device.

A mapping system collects radio frequency and lidar data from mobile devices to generate unified geographic visualizations.

Processor executes avoidance steering during remote vehicle control to maintain safe distance from surrounding obstacles.

A drive mode switching control device differentiates emergency override operations from non-emergency ones to enable immediate manual mode transition.

A remote vehicle activation system uses electronic payment transactions to determine driver proximity and trigger subsystem commands.

A vehicle emitter sends high RF signals synchronously with EM pulses to a remote receiver unit that determines proximity based on magnetic field strength.

Firmware updates reconfigure an autonomous driving expansion device to operate as a host or client node.

Piecewise quintic polynomial spiral paths resolve trajectory oscillations from unstable sensor data by optimizing coefficients to minimize curvature changes.

Height clearance filtering removes false positive obstacles from sensor data, enabling accurate collision avoidance maneuvers for autonomous vehicles.

Pre-trained autonomous driving model generates sample images using generative adversarial networks to adapt driving data across multiple scenarios.

A maintenance management system routes autonomous vehicles to service facilities based on diagnostic data analysis.

Heartbeat signal monitoring detects hostile takeover attempts by identifying interrupted control links, enabling immediate UAV recovery.

A moving body control unit reduces target speed upon collision risk detection and restores original speed after a safety confirmation period.

Integrated vehicle system monitors driver alertness through environmental labeling prompts.

A path finding engine formulates b-spline functions to generate continuous trajectory data for vehicle control.

A vehicle control system calculates compensation acceleration based on current pitch to maintain constant velocity.

Controller manages autonomous vehicle docking via shuttle, eliminating manual alignment complexity.

A mobile robot uses a rotating appendage to execute self-righting maneuvers when inverted.

A vehicle control system predicts battery load profiles to manage automated driving function availability.

A control unit calculates time-optimal driving paths within permissible areas defined by user-specified lateral distances.

A vehicle control apparatus recognizes user facial motion to determine autonomous stop positions.

Autonomous electronic bicycle executes track stand balance mode to reposition vehicles without manual intervention, reducing fleet size requirements.

Processor determines external device proximity and restricts transmission to minimize bandwidth usage and reduce unnecessary communication traffic.

Adaptive grid search optimization determines optimal vehicle actions for autonomous navigation.

A naturalistic driving behavior data set structures vehicle dynamic and image data to classify stimulus-driven actions for autonomous control.

Preconfigured path segments stored in scene/path data structures reduce real-time calculation overhead while ensuring optimal driving safety and comfort.

An autonomous vehicle controller integrates passenger ratings with sensor data to update its deep reinforcement learning model.

Controller maneuvers vehicle laterally when rearward object thresholds are exceeded, reducing collision risk.

A machine learning model generates top-down scene images to produce heat maps of prediction probabilities for autonomous vehicle navigation.

Controller modifies path parameters using real-time position signals to prevent machine overload and reduce wear during material movement.

Independent dual-axis articulation systems position sensors to eliminate mechanical backlash and maintain clear fields of view.