多传感器融合数据的异常检测与自动驾驶安全预警

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中图分类号：U463.6 文献标识码：A 文章编号：1003-8639（2025）09-0016-03

Abnormal Detection ofMulti-sensor Fusion Data and Early Warning of Automatic Driving Safety

Han Linrui

（Schoolof Information Engineering，Guangdong Eco-engineering Polytechnic，Guangzhou 51O520，China）

【Abstract】The safe operation of automatic driving system in complex road environment requires the cooperation of many kindsof sensors.However，the sensorwill produce wrong data due to itsown fault，bad weather and algorithm problems during operation，which will lead to the system misjudging obstacles，thus causing safety problems.This paper analyzes theinherentlimitationsofcameras，lidar，millimeter-waveradar and othersensors，and puts forward effctivemethods of anomaly detection and theapplicationof multi-sensor fusion in automatic driving safety early warning，in order to provide technical reference for improving the safety of automatic driving.

【Key words】multi-sensor fusion;anomaly detection； autopilot;safety early warning

0 引言

汽车自动驾驶面临的关键问题是如何确保在复杂路况下的行车安全。（剩余3891字）