Control Safety Arrangements TRIZ Cases
- Robotic Vehicle Emergency Trajectory Control for Safe Pull-Over
Precomputed emergency trajectories let a robotic vehicle leave hazardous stop points after a malfunction and reach a nearby safe location.
- Remote Safe Driving Control for Autonomous Vehicle Emergencies
A remote monitoring center detects emergencies, sends secure driving actions, and improves autonomous vehicle response reliability.
- Route Section Evaluation for Landmark-Based Vehicle Localization
Classifies map route sections by landmark density and sensor recognizability to support accurate automated driving under changing conditions.
- Vehicle Arithmetic Architecture for Deep Learning Safe-Stop Backup
A dual-path vehicle controller pairs deep learning route planning with a rule-based safe-stop backup to reach ASIL-D emergency safety.
- Vehicle Accident Prediction Alerts for Delayed Sensor Response
Non-visual EM alerts share predicted crash data between nearby vehicles so adjacent cars can react before onboard sensors detect danger.
- Vehicle Controller Runtime Isolation for Hot-Swap Program Testing
A delimited test runtime lets vehicle controllers hot-swap program elements for real-time evaluation without disrupting safety-critical control software.
- Driver Fatigue Monitoring With HRV-Based Vehicle Control
HRV-based fatigue learning and monitoring lets the vehicle trigger alarms, adjust spacing, and activate safety aids when driver fatigue rises.
- Remote Driving Risk Mitigation at Intersections Using Stop-Location Selection
Pre-evaluated stop candidates and risk factors help a remotely driven vehicle avoid intersection conflicts and reduce traffic disruption.
- Reverse Maneuver Prediction for Autonomous Vehicle Planning
Sensor and trajectory cues help autonomous vehicles detect likely reversing cars earlier and adjust space or timing with lower processing load.
- Automated Vehicle Route Guidance for Exceptional Traffic Situations
When automated driving meets blocked or rule-breaking road conditions, network-guided route sections help vehicles pass and reuse resolved paths.
- Ground-Projected AR for Working Machine Operator Guidance
Projects construction and implement data onto the ground so operators can keep eyes on the work area and avoid underground structure contact.
- Driver Eye-Dynamics Profiling for Abnormal Event Prediction
Eye-tracking updates a driver response profile to predict fatigue-linked abnormal driving events and trigger earlier vehicle control actions.