Anti-Collision Systems TRIZ Cases
- 3D Vehicle Collision Probability Using Minkowski Difference Projections
Projects 3D vehicle and object uncertainty into 2D planes to compute collision probability faster with less overestimation for real-time planning.
- Multi-Sensor Object Integration Prioritization Under Cycle Limits
Weights object data by integration history so high-priority targets are fused within each cycle, improving association reliability under heavy sensor loads.
- Vehicle Object Detection Fusion for Crowded Target Regions
Crowd-based search regions stabilize multi-sensor fusion, improving vehicle object detection when closely spaced targets confuse low-resolution sensors.
- Object Recognition Target Selection Under CPU Processing Limits
When many objects are detected, evaluation-value comparison keeps the most relevant targets without full priority sorting, cutting processing time.
- Object Detection With Attitude-Adaptive Velocity Filtering
Attitude-based filter smoothing adapts to target orientation, suppressing detector and environmental errors in velocity detection.