Autonomous Decision Making Process TRIZ Cases

Controller transitions to tollgate passing mode with predetermined target paths, maintaining automatic driving control when road shape recognition fails.

A hydraulic interrupter valve blocks pressurized fluid flow to cancel automatic steering commands when an operator turns the steering wheel.

Variable torque thresholds adapt to vehicle speed, enabling seamless transitions between autonomous and manual steering modes.

A vehicle guidance system transmits dynamic commands based on external location data to navigate mobile bodies without onboard sensors.

Road fiducials improve position determination accuracy for autonomous vehicles by providing reliable distance references.

A vehicle control system extracts essential driving parameters to optimize model training.

An autonomous vehicle navigates occluded regions by receiving occupancy data from other vehicles or remote devices, resolving sensor coverage gaps.

A steering control system blends manual and autonomous inputs during mode transitions.

A coordinated transportation system synchronizes vehicle functions to create a unified entertainment environment across multiple cars.

Warning control unit outputs alerts based on external environment to eliminate driver system distrust state during autonomous driving.

A verification module reframes data association into linear inequalities to ensure correlated track correctness.

Autonomous vehicles use concentric broadcast zones to exchange traffic data and determine intersection passage priority without central coordination.

Optical unit projects autonomous route onto windshield, resolving view obstruction while maintaining operator awareness.

A mine management system expands prohibited zones around moving bodies to prevent unmanned vehicle collisions.

A merge behavior system predicts proximate vehicle locations and adjusts host kinematic parameters to create gaps.

Image classifiers predict terrain slip and hazard levels, enabling adaptive route planning that prevents rover immobilization in unknown environments.

Smoothing speed profiles via threshold-based adaptation reduces harsh accelerations, enhancing driving comfort and energy efficiency.

A sensor guide rail system moves sensors along a vehicle surface to capture data from specific regions of interest.

Roadside sensor markers transmit road condition data to vehicle computers via camera patterns or RF signals.

An autonomous driving system analyzes target vehicle appearance and driving characteristics to determine risk levels for host vehicle control.

A vehicle control mode controller restricts autonomous driving activation at complex road sections.

An autonomous unmanned aerial vehicle delivers emergency medical relief to disaster sites.

Hierarchical architecture enables operators to switch between autonomous and manual modes, reducing workload while maintaining real-time adaptability.

A control system derives transfer functions from acceleration signals to determine real-time effective mass and moment of inertia for autonomous devices.

A vehicle traveling control apparatus adjusts target acceleration characteristics based on detected accelerator operation amounts.

A vehicle safety device receives driving status data from multiple independent sources to output verified information to the driver.

A hybrid aerial underwater robotics system transitions sensors between retracted and extended positions to collect water quality data.

A check platform compares parameter data from redundant processing platforms using a collision test to isolate processor faults and reduce false positives.

A mixed-mode driving system adjusts vehicle operation between autonomous and manual states using real-time sensor data.

Drone manages distance to non-planar objects using sensors and beacons, resolving the trade-off between cleaning versatility and device complexity.

A vehicle computing system segments environmental regions to allocate computational resources based on object relevance.

An electronic apparatus adjusts bounding box sizes around detected objects to control vehicle operations.

A dispatch system integrates autonomous freight vehicles into passenger transport fleets to expand vehicle selection options.

A controller system uses a detector to identify neural network output breaches and triggers incremental re-training with local data.

An AI system provides personalized driving instructions based on real-time environmental data to enhance driver skills.

An axial steering shaft aligns with the tire axis while an active suspension adjusts damping, enabling stable navigation over obstacles without excessive wear.

A routing system filters infeasible lane plans using motion planning algorithms to ensure smooth vehicle trajectories.

Segmenting operating space into zones minimizes collision risk while maintaining high throughput in dense unmanned vehicle fleets.

Elastomeric mounts mitigate thermal expansion to maintain sensor accuracy while conductive wheels dissipate static charges.

A vehicle driving assist system uses steering wheel contact position and torque data to determine driver intent.

Sensor system reconciles discrepancies in preliminary heatmaps from remote vehicles to resolve occlusions and improve object detection accuracy.

Segmented stopover loading resolves the trade-off between customized vehicle versatility and preparation complexity.