Autonomous Decision Making Process TRIZ Cases

A sensor data sharing mechanism distributes captured information across multiple processing pipelines to enable collaborative feature extraction and perception.

An autonomous braking system detects collisions and initiates immediate deceleration to stabilize vehicle motion.

Predict third-party object trajectories using temporal logic formulas and Monte Carlo tree search algorithms.

Learning device categorizes situation information to determine optimal U-turn strategy for autonomous vehicles.

Autonomous drone system scans truck and trailer status using RFID readers, optical code readers, and powertrain data receivers.

A vehicle control device adjusts speed and inter-vehicle distance to facilitate automated driving transitions.

Multi-view embedding maps features into a common space using softmax compatibility functions to resolve ESZSL limitations in pattern recognition.

A fatigue detection method compensates steering hysteresis to maintain consistent driver state monitoring.

A trained control model maps vehicle state data directly to target control signals for autonomous driving.

A supervisory node constructs device commands from sensor data and policy directives to manage distributed self-propelled devices.

A notification device alerts drivers to prepare for manual driving based on calculated autonomous reliability values.

Multimodal anomaly detection fuses heterogeneous sensor data to identify deviations, resolving inconsistent performance across diverse environmental conditions.

A neural network regression model infers vehicle load using gear shift data and sensor inputs.

A server instructs an unmanned vehicle to reach a delivery destination at a user-set arrival time.

A computing device evaluates positional data to determine which autonomous vehicles require a stop signal based on their spatial relationship to the trigger.

Autonomous mobile objects capture emergency site images without pre-positioned terminals.

Autonomous vehicle system evaluates trajectory costs to push obstacles, reducing convoy delay while minimizing collision damage.

A probabilistic prediction system estimates future road agent states using transition and agent models to control ego vehicle operations.

Deployable antenna arms transition from retracted to extended positions on a supersonic ramjet UAV.

A central office combines scanned surroundings from multiple motor vehicles to determine traffic situations.

An autonomous driving control system manages relay faults through restricted function modes.

Adaptive vehicle control system synchronizes acceleration with neighbors, reducing braking frequency while maintaining smooth driving operation.

An autonomous vehicle corrects travel speed based on predicted arrival positions to maintain accurate route reproduction despite measurement errors.

A host vehicle navigates using prediction data from measured vehicles to map obscured obstacles in the environment.

A virtual sensor estimates unmeasurable vehicle variables using a trained feedforward neural network processing real-time signal derivatives.

Segmenting the vehicle from the payload allows autonomous transport while keeping weight on the floor to prevent control issues.

A domain control unit dynamically allocates data storage across electronic control units based on available memory capacity.

Vehicle communication system adjusts safety rating thresholds based on battery state of charge to identify acceptable charging stations.

A system generates multiple trajectory candidates and compares each against a reference path to select an optimal target route for autonomous driving.

Deep learning filters multiple candidate paths to determine an optimal U-turn trajectory for autonomous vehicles.

Lateral water drain grooves on inclined roofs divert moisture away from central antennas, preventing water damage while maintaining low vehicle height.

A vehicle control system detects tollgate entry lanes to automatically switch driving modes.

Spring-loaded mechanisms release payloads between moving mobile robots at stack exchangers without stopping.

A vehicle controller switches operating parameters based on passenger presence to manage cabin systems and powertrain settings.

A parking assistance device presents detected surroundings to the occupant for validation before storing environmental data.

A lane departure detection system calculates vehicle angle based on curb contact time to adjust moving direction.

A motion planning method switches between computation procedures based on obstacle detection within a guard area to update time-dependent trajectories.

A computer-implemented method selects a load calibration table matching current driving statistics to determine the autonomous vehicle's real-time weight.

A system analyzes autonomous vehicle diagnostic data to identify required services and generate appointment reservations at nearby facilities.

An autonomous vehicle controller generates composite maps of high friction surfaces to guide host vehicles away from low traction zones.

External camera arrangement detects hailing gestures to display passenger portraits, reducing pickup wait times.

Autonomous vehicles detect occupant presence and location to select customized driving operations.

A hoist boost solenoid applies pressure to lower a dump body during autonomous operation.

A vehicle control system uses a second running assistor to perform steering control based on detected surroundings.

A work machine management apparatus generates and selects target travel tracks using switchback points to distribute vehicle traffic across mine surfaces.

Defined Autonomous Services Platform manages autonomous robot fleets navigating pre-defined routes within geographical boundaries.

A shielded brake-control unit calculates and stores safe stopping trajectories using differential braking.

A vehicle computing system analyzes probable agent paths and velocities to determine collision likelihood using time-space overlap metrics.