Anti-Collision Systems TRIZ Cases
- Autonomous Vehicle Trajectory Prediction for Dynamic Collision Avoidance
Predicted trajectories of nearby vehicles let the planner revise the host path until conflicts are removed, improving safety in dynamic traffic.
- Autonomous Vehicle Path Planning Using Vehicle-Type Risk Assessment
Fused sensor and V2X perception rates nearby vehicle types to adjust lane, speed, and safety distance for safer autonomous driving.
- Vehicle Blind-Spot Trajectory Tracking for Continuous Driving Support
Bridges gaps between side sensors by estimating a moving body's path through blind spots, enabling smoother driving support and collision avoidance.
- Trailer Speed Notification Using Wheel Sensor Thresholds
A wheel speed sensor triggers lights or alarms when a trailer drops below a speed threshold, warning nearby drivers and reducing highway accident risk.
- Autonomous Driving Switch Notification for Predicted Interruptions
Predicted tunnel or positioning gaps suppress autonomous mode switch notices, helping avoid interruptions and preserve driving convenience.
- Overtaking Schedule Control for Smooth Automatic Lane Changes
Preplanned overtaking and return lane changes use relative speed and position data to avoid delays, interruptions, and driver discomfort.
- Rear Side Warning Sensing for Blind-Spot Coverage in Lane Changes
By resetting the rear lateral monitoring area from vehicle turning angle, this case maintains blind-spot detection during lane changes.