Shen, DanYi, QiangLi, LingxiChien, StanleyChen, YaobinSherony, Rini2019-08-132019-08-132018Shen, D., Yi, Q., Li, L., Chien, S., Chen, Y., & Sherony, R. (2018). Data Collection and Processing Methods for the Evaluation of Vehicle Road Departure Detection Systems. 2018 IEEE Intelligent Vehicles Symposium (IV), 1373–1378. https://doi.org/10.1109/IVS.2018.8500565https://hdl.handle.net/1805/20350Road departure detection systems (RDDSs) for avoiding/mitigating road departure crashes have been developed and included on some production vehicles in recent years. In order to support and provide a standardized and objective performance evaluation of RDDSs, this paper describes the development of the data acquisition and data post-processing systems for testing RDDSs. Seven parameters are used to describe road departure test scenarios. The overall structure and specific components of data collection system and data post-processing system for evaluating vehicle RDDSs is devised and presented. Experimental results showed sensing system and data post-processing system could capture all needed signals and display vehicle motion profile from the testing vehicle accurately. Test track testing under different scenarios demonstrates the effective operations of the proposed data collection system.enPublisher Policyroadstestingdata collectionConference proceedings