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Towards Certification of Autonomous Driving: Systematic Test Case Generation for a Comprehensive but Economically-Feasible Assessment of Lane Keeping Assist Algorithms

机译：迈向自动驾驶认证：全面但经济上可行评估车道保持辅助算法的全面但经济上可行的系统测试案例

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Thomas Ponn; Dirk Fratzke; Christian Gnandt; Markus Lienkamp;
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1. Robust Multirate Control Scheme With Predictive Virtual Lanes for Lane-Keeping System of Autonomous Highway Driving [J] . Son Young Seop, Kim Wonhee, Lee Seung-Hi, Vehicular Technology, IEEE Transactions on . 2015,第8期

机译：具有预测性虚拟车道的鲁棒多速率控制方案，用于自动驾驶高速公路的车道保持系统
2. Personalised lane keeping assist strategy: adaptation to driving style [J] . Rath Jagat Jyoti, Senouth Chouki, Popieul Jean Christophe Control Theory & Applications, IET . 2019,第1期

机译：个性化的车道保持辅助策略：适应驾驶风格
3. Kinematics-based Fault-tolerant Techniques: Lane Prediction for an Autonomous Lane Keeping System [J] . Kang Chang Mook, Lee Seung-Hi, Kee Seok-Cheol, International Journal of Control, Automation, and Systems . 2018,第3期

机译：基于运动的容错技术：自主车道保持系统的车道预测
4. Towards Certification of Autonomous Driving: Systematic Test Case Generation for a Comprehensive but Economically-Feasible Assessment of Lane Keeping Assist Algorithms [C] . Thomas Ponn, Dirk Fratzke, Christian Gnandt, International Conference on Vehicle Technology and Intelligent Transport Systems . 2019

机译：迈向自动驾驶认证：全面但经济上可行评估车道保持辅助算法的全面但经济上可行的系统测试案例
5. Investigation of Lane-Keeping And Lane-Changing Characteristics in Fog Using the SHRP2 Naturalistic Driving Study Data: Steps Towards Advanced Driver Assistance Systems (ADAS) [D] . Das, Anik 2018

机译：使用SHRP2自然驾驶研究数据研究雾中的保持车道和改变车道特性：迈向高级驾驶员辅助系统（ADAS）的步骤
6. Autonomous Ground Vehicle Lane-Keeping LPV Model-Based Control: Dual-Rate State Estimation and Comparison of Different Real-Time Control Strategies [O] . Julián M. Salt Ducajú, Julián J. Salt Llobregat, Ángel Cuenca, 2021

机译：自主地面车道保持LPV模型的控制：双速率状态估计和不同实时控制策略的比较
7. A Comprehensive Real-Time Road-Lanes Tracking Technique for Autonomous Driving [O] . Wael farag 2020

机译：自主驾驶全面实时道路车道跟踪技术

Towards Certification of Autonomous Driving: Systematic Test Case Generation for a Comprehensive but Economically-Feasible Assessment of Lane Keeping Assist Algorithms

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