Abstract: In response to the high proportion of traffic accidents caused by lane departure and the industry pain point of the lack of standardized and systematic verification methods for the safety performance of intelligent vehicle emergency lane keeping (ELK) system in complex practical scenarios, this study aims to establish a standardized testing process and a scientific robustness evaluation system for ELK system based on the Euro NCAP 2026 version of the Crash Avoidance– Lane Departure Collisions (v1.1), in order to improve the consistency and effectiveness of ELK system testing. The research focuses on the core scenario of overtaking and lane changing collision avoidance between ELK adjacent lane vehicles and motorcycles. The experimental conditions, vehicle preparation, measurement accuracy requirements, and experimental implementation process under this scenario are systematically sorted out; The focus is on analyzing the criteria for dividing robustness levels in the regulations, clarifying core robustness evaluation indicators such as collision position offset and initial position deviation; And a real vehicle verification test is conducted on a pure electric sedan equipped with ELK system, completing the testing and data validity analysis of standard and robustness scenarios. The research results indicate that the ELK system testing method and robustness evaluation system constructed have strong practical feasibility and engineering application value, which can provide theoretical support and practical reference for the development, testing, and optimization of intelligent vehicle ELK system.

Key words: emergency lane keeping system; active safety; Euro NCAP; robustness assessment

摘要： 针对车道偏离引发的交通事故占比居高不下、智能车辆紧急车道保持（ELK）系统在 复杂实际场景下的安全性能缺乏标准化、系统化验证方法的行业痛点，文章以 Euro NCAP 《碰撞规避——车道偏离碰撞测试规程》（v1.1）为依据，旨在建立 ELK 系统标准化测试流程 与科学的鲁棒性评估体系，提升 ELK 系统测试的一致性与评估有效性。该研究聚焦 ELK 同 向相邻车道车辆与摩托车间超车变道碰撞规避核心场景，系统梳理了该场景下的试验条件、 车辆准备、测量精度要求与试验实施流程；重点解析了规程中鲁棒性层级划分标准，明确了 碰撞位置偏移、初始位置偏差等核心鲁棒性评估指标；并通过某款配备 ELK 系统的纯电动轿 车开展实车验证试验，完成了标准场景与鲁棒性场景的测试及数据有效性分析。研究结果表 明，所构建的 ELK 系统测试方法与鲁棒性评估体系具备较强的实践可行性与工程应用价值， 可为智能车辆 ELK 系统的研发、测试与优化提供理论支撑与实践参考。

关键词: 紧急车道保持系统；主动安全；Euro NCAP；鲁棒性评估