Han, ShuangshuangCao, DongpuLi, LiLi, LingxiLi, Shengbo EbenZheng, Nan-NingWang, Fei-Yue2019-06-272019-06-272018-10Han, S., Cao, D., Li, L., Li, L., Li, S. E., Zheng, N., & Wang, F. (2019). From Software-Defined Vehicles to Self-Driving Vehicles: A Report on CPSS-Based Parallel Driving. IEEE Intelligent Transportation Systems Magazine, 11(1), 6–14. https://doi.org/10.1109/MITS.2018.2876575https://hdl.handle.net/1805/19722On June 11th, 2017, the 28th IEEE Intelligent Vehicles Symposium (IV'2017) was held in Redondo Beach, California, USA. As one of the 8 workshops at IV'2017, the cyber-physical-social systems (CPSS)-based parallel driving (WS'08), organized by the State Key Laboratory for Management and Control of Complex Systems (SKL-MCCS), Institute of Automation, Chinese Academy of Sciences, China, Xi'an Jiaotong University, China, Tsinghua University, China, Indiana University-Purdue University Indianapolis, USA, and Cranfield University, U.K, has attracted both researchers and practitioners in intelligent vehicles. About 60-70 participants from various countries had extensive and deep discussions on definition, challenges and alternative solutions for CPSS-based parallel driving, and widely agreed that it is a novel paradigm of cloud-based automated driving technologies. Six speakers shared their ideas, studies, field applications, and vision for future along these emerging directions from software-defined vehicles to self-driving vehicles.enPublisher Policysafetyelectronic mailautomationArticle