Automatic vehicle light leveling system and method based on road surface semantics and slope joint estimation network

The automatic headlight leveling system, which uses a road surface semantic and slope joint estimation network, achieves forward-looking and precise adjustment of headlight beams. This solves the problems of lag and rigid control strategies in existing headlight leveling systems, and improves nighttime driving safety and system intelligence.

CN122402371APending Publication Date: 2026-07-17上海星宇智行技术有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
上海星宇智行技术有限公司
Filing Date
2026-06-01
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing automatic headlight leveling systems cannot predict road surface undulations ahead, resulting in blind spots or glare. Furthermore, they cannot recognize changes in road surface material and vehicle posture, and their control strategies are simplistic and rigid, making it difficult to achieve refined and differentiated dimming, thus affecting nighttime driving safety.

Method used

An automatic headlight leveling system based on a road surface semantic and slope joint estimation network is adopted. The system synchronously collects multi-source heterogeneous data through the perception layer, the decision layer outputs road surface semantic segmentation results and slope estimation results through a multi-task road surface perception joint network, and the execution layer executes headlight control commands to achieve dynamic and precise adjustment of headlight pitch angle.

Benefits of technology

It enables forward-looking and precise adjustment of the headlight beam, eliminates blind spots and glare, improves nighttime driving safety and ride comfort, provides richer perception signals, and lays the foundation for headlight control and vehicle intelligence.

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Abstract

本发明公开了基于路面语义与坡度联合估计网络的车灯自动调平系统及方法,涉及车灯技术领域。系统通过多任务路面感知联合网络并行输出路面语义分割结果与路面坡度估计结果,经语义掩码加权优化得到路面坡度值;再通过多源数据加权融合,生成校验后的语义‑坡度融合特征;结合策略映射规则输出灯光控制指令,并与自适应前照灯系统(AFS)实现双向协同控制,解决复合工况下的照明冲突。本发明可有效提升车灯调平的准确性、鲁棒性与场景适应性,降低复杂路况下的照明盲区风险。
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