The application discloses a kind of vehicle micro-collision capture and trajectory
reconstruction method and
system under anti-shielding environment, comprising: constructing dynamic shielding
perception vehicle
semantic space-time graph, locking the visible rigid connection feature site of shielding risk target;Based on phase amplification, the feature site is analyzed in
frequency domain micro-motion, and vibration
fingerprint feature vector is extracted in combination with
vehicle type-
modal frequency
fingerprint library;By introducing impulse-
momentum theorem as the neural network of physical constraint, the vibration
fingerprint feature is inferred and regressed collision impulse of collision event;Using the denoising
diffusion model with collision impulse as the condition, the vehicle trajectory in the shielding area that meets the
collision dynamics is repaired and generated.The application analyzes the micro-vibration of unshielded parts to infer collision, and integrates physical principles into neural networks, solving the problems of difficult micro-
collision detection and trajectory
distortion under shielding, and generating trajectories that retain
collision dynamics characteristics, providing strong evidence for accident liability determination.