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.