Road wild animal intrusion monitoring method and system based on AI recognition
By using perspective geometry correction and spatiotemporal prediction of multimodal perception data, combined with AI recognition models, the instability problem of risk assessment in monitoring road wildlife intrusion has been solved, enabling accurate risk identification and management, and improving road safety and animal protection capabilities.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGSU DONGFANG ROAD & BRIDGE CONSTR & MAINTENANCE CO LTD
- Filing Date
- 2026-06-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack a unified risk assessment basis for monitoring road wildlife intrusion, and cannot effectively solve the problem of continuous correlation between perceived information and target movement status, resulting in unstable monitoring results.
By acquiring multimodal perception data, performing perspective geometry correction and spatiotemporal prediction, using AI animal recognition models to identify animals and determine their movement trajectories, activating tiered progressive early warning systems, and recording risk information to form continuous risk management monitoring data.
It enables accurate identification of animal categories, spatial locations, and risks, provides high-precision information on animal intrusion risks, supports tiered and progressive early warning and risk management, and improves road safety protection efficiency and wildlife protection capabilities.
Smart Images
Figure CN122416739A_ABST