Control Devices TRIZ Cases
- Vehicle Deceleration Control Using a Control Barrier Function
A control barrier function tunes deceleration from speed and target distance to deliver smooth, comfortable vehicle stops.
- Best-Practice Input Guidance for Intelligent Computing Interactions
Nonconforming user inputs are checked against best-practice rules, then corrected or guided to cut wasted processing and reduce safety risks.
- Wheel Grip Factor Estimation Using Rack Force and Slip Angle
Rack force and slip angle are combined to estimate wheel grip early and reliably, improving torque distribution without extra hardware.
- Vehicle Model Syncing via Isometric Data Masking for Privacy
Isometric masking lets vehicles share training data for remote model syncing while preserving privacy and keeping distance-based model accuracy.
- Autonomous Vehicle Motion Planning Across Stable and Unstable States
Trajectory planning uses hybrid modes and equilibrium states to let autonomous vehicles traverse unstable regions for agile, safer evasive maneuvers.
- Vehicle Mobility Index from Acceleration Signals for Driving Aggressiveness
Interquartile filtering of longitudinal and lateral acceleration yields a mobility index that captures driving aggressiveness for maintenance prediction.
- Autonomous Vehicle Data-Arrival Scheduling for Real-Time Failover
Dynamic scheduling based on sensor data arrival helps autonomous vehicles meet hard real-time windows and sustain operation during failures.
- Vehicle Control Notification for Machine Learning Activation
When ML-based vehicle control is active, operator alerts via display, sound, or haptics reduce misrecognition and improve awareness.
- Vehicle Takeover Risk Prediction Using Sensor-Based Driving Models
Sensor data and planned trajectories feed a prediction model to assess takeover risk and trigger safer vehicle control or driver prompts.
- Lane Change Assist Display With Real Vehicle Color Matching
During lane change assist, the display matches nearby vehicle color and shape to real traffic, reducing mismatch discomfort and improving awareness.
- Context-Aware Lane-Centering Feedback for Narrow Lanes
Adaptive lane-centering prompts use lane context and driver response to guide safer vehicle positioning without constant distraction.
- Lane Change Direction Display for Clear Driver Guidance
Directional arrows and steering images show when left or right lane changes are possible, reducing confusion and driver anxiety.
- In-Vehicle Stop Cause Display for Intersection Passage Decisions
When a vehicle cannot pass an intersection area, the display highlights the stoppage cause and reduces occupant anxiety.
- Auto Lane Change Control With Direction-Based Confirmation Timing
Direction-specific notification timing gives drivers enough time to confirm surroundings without reducing auto lane change opportunities.
- Autonomous Vehicle Failure Response With Distributed Redundancy
Distributed redundant subsystems let an autonomous vehicle detect failures, stay operational, and minimize road risk without human intervention.
- Vehicle Feedback Controller Gain Tuning for Time Delays
Iterative simulation tuning finds controller gains that account for vehicle feedback time delays, improving stability and control performance.
- Autonomous Driving Assistance Feedback for Mode Confusion Avoidance
Location-based feedback warns drivers when expected autonomous assistance has not resumed on routine routes, reducing mode confusion.
- Mobile Energy Delivery for Unwired Nano-Grid Power Supply
Charged vehicles carry stored electricity from energy stations to unwired nano-grids, matching forecast and real-time demand without fixed lines.
- Adaptive Driving Assistance Guidance Based on Driver Reaction History
Driver reaction history adjusts when driving assistance guidance appears, reducing repetitive alerts and lowering mental burden.
- Redundant Drive Function Monitoring for Fail-Operational Vehicle Control
A backup control unit and sensor detect deviation from target values, isolate a faulty primary controller, and keep automated driving active.
- Redundant Sensor and Power Layout for Vehicle Control Reliability
Split sensor, processor, and power paths keep vehicle control operating through sensor or power faults for more stable navigation.
- Vehicle User Input Control by Occupant Identification
Occupant and position detection lets a shared vehicle control switch modes so one user can adjust settings without affecting others.
- Surface Bias Estimation for Road Cross-Slope Measurement Correction
Factor graph bias estimation corrects probe trace and keypoint errors caused by road cross-sloping, improving vehicle mapping accuracy.
- Parking Trajectory Recording Across Manual and Automated Maneuvers
Records one continuous parking trajectory across manual driving and automatic parking, enabling convenient repeat maneuver playback.
- Vehicle Driving Support Training via AR/VR Mode Switching
AR/VR explanation mode lets drivers practice vehicle support functions on actual controls without affecting travel, improving feature understanding.