Evolution test by improved genetic algorithm with application to performance limit evaluation of automatic parallel parking system
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[1] G. Feng,et al. Robust Coordinated Control of Nonlinear Heterogeneous Platoon Interacted by Uncertain Topology , 2022, IEEE Transactions on Intelligent Transportation Systems.
[2] Sujit Sopan Barhate,et al. Effective test strategy for testing automotive software , 2015, 2015 International Conference on Industrial Instrumentation and Control (ICIC).
[3] Feng Gao,et al. Hybrid strategy for traffic light detection by combining classical and self‐learning detectors , 2020, IET Intelligent Transport Systems.
[4] Feng Gao,et al. Decoupled H ∞ control of automated vehicular platoons with complex interaction topologies , 2017 .
[5] T. Saaty. Axiomatic foundation of the analytic hierarchy process , 1986 .
[6] Joachim Wegener,et al. Automatic Testing of an Autonomous Parking System Using Evolutionary Computation , 2004 .
[7] Ding Zhao,et al. Accelerated Evaluation of Automated Vehicles. , 2016 .
[8] Feng Gao,et al. Test Scenario Design for Intelligent Driving System Ensuring Coverage and Effectiveness , 2018, International Journal of Automotive Technology.
[9] Xiaoping Luo,et al. A new fuzzy adaptive simulated annealing genetic algorithm and its convergence analysis and convergence rate estimation , 2014 .
[10] Eric Sax,et al. Machine learning and deep neural network — Artificial intelligence core for lab and real-world test and validation for ADAS and autonomous vehicles: AI for efficient and quality test and validation , 2017, 2017 Intelligent Systems Conference (IntelliSys).
[11] Feng Gao,et al. Test Scenario Generation and Optimization Technology for Intelligent Driving Systems , 2022, IEEE Intelligent Transportation Systems Magazine.
[12] Ding Zhao,et al. Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models , 2017, IEEE Transactions on Intelligent Transportation Systems.
[13] Ding Zhao,et al. Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers , 2016, IEEE Transactions on Intelligent Transportation Systems.
[14] Alessio Ishizaka,et al. Review of the main developments in the analytic hierarchy process , 2011, Expert Syst. Appl..
[15] Hang Yin,et al. Test Your Self-Driving Algorithm: An Overview of Publicly Available Driving Datasets and Virtual Testing Environments , 2019, IEEE Transactions on Intelligent Vehicles.
[16] Franz Wotawa,et al. Performance Comparison of Two Search-Based Testing Strategies for ADAS System Validation , 2019, ICTSS.
[17] Feng Gao,et al. Motion Planning for Autonomous Vehicles Considering Longitudinal and Lateral Dynamics Coupling , 2020, Applied Sciences.
[18] Nanning Zheng,et al. Artificial intelligence test: a case study of intelligent vehicles , 2018, Artificial Intelligence Review.
[19] Feng Gao,et al. Driving Capability-Based Transition Strategy for Cooperative Driving: From Manual to Automatic , 2020, IEEE Access.
[20] Li Ming,et al. An analysis on convergence and convergence rate estimate of elitist genetic algorithms in noisy environments , 2013 .
[21] Qi Sun,et al. Robust Distributed Consensus Control of Uncertain Multiagents Interacted by Eigenvalue-Bounded Topologies , 2020, IEEE Internet of Things Journal.
[22] Günter Rudolph,et al. Convergence analysis of canonical genetic algorithms , 1994, IEEE Trans. Neural Networks.
[23] Kunfeng Wang,et al. ParallelEye-CS: A New Dataset of Synthetic Images for Testing the Visual Intelligence of Intelligent Vehicles , 2019, IEEE Transactions on Vehicular Technology.
[24] Feng Gao,et al. Automatic Virtual Test Technology for Intelligent Driving Systems Considering Both Coverage and Efficiency , 2020, IEEE Transactions on Vehicular Technology.
[25] Feng Gao,et al. A Test Scenario Automatic Generation Strategy for Intelligent Driving Systems , 2019, Mathematical Problems in Engineering.
[26] Tanja E. J. Vos,et al. Evolutionary functional black-box testing in an industrial setting , 2013, Software Quality Journal.
[27] Juan de Oña,et al. Analysis of transit quality of service through segmentation and classification tree techniques , 2015 .
[28] Magnus Egerstedt,et al. Autonomous driving in urban environments: approaches, lessons and challenges , 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.