This study underscores the vital importance of intelligent driving functions in enhancing road safety and driving comfort. Central to our research is the challenge of obtaining sufficient test data for evaluating these functions, especially in high-risk, safety-critical driving scenarios. Such scenarios often suffer from a dearth of available data, primarily due to their inherent complexity and the risks involved.
Addressing this gap, our research introduces a novel methodology designed to create a wide array of diverse and realistic safety-critical driving scenarios. This approach significantly broadens the testing spectrum for driver assistance systems and autonomous vehicle functions. We particularly focus on the follow-up drive scenario due to its high relevance in practical applications. Here, vehicle movements are intricately modeled using kinematic equations, incorporating factors like driver reaction times. We vary parameters to generate a spectrum of plausible driving scenarios.
The utilization of the Difference Space Stopping (DSS) metric is a pivotal element in our research. This metric plays a crucial role in the safety evaluation of follow-up drives, facilitating a more thorough and comprehensive validation process. By doing so, our methodology enhances the reliability and safety assessment of driver assistance and autonomous driving systems, specifically tailored for the most challenging and safety-critical scenarios.
A Roadside Unit for Infrastructure Assisted Intersection Control of Autonomous Vehicles
Old Dominion University（奥多明尼昂大学）；The Ohio State University（俄亥俄州立大学）；North Carolina A&T State University（北卡罗来纳农工州立大学）；Butler University（巴特勒大学）；New Mexico State University（新墨西哥州立大学）；University of Minnesota（明尼苏达大学）；The University of Arizona（亚利桑那大学）；Lawrence Technological University（劳伦斯理工大学）；Michigan State University（密歇根州立大学）
Smart Roads: Roadside Perception, Vehicle-Road Cooperation and Business Model
Xidian University（西安电子科技大学）；Guangzhou Institute of Technology, Xidian University（西安电子科技大学广州研究院）；Eindhoven University of Technology（埃因霍温理工大学）；Nanyang Technological University（南洋理工大学）；University of Oslo（奥斯陆大学）；Simula Metropolitan Center for Digital Engineering（西穆拉大都会数字工程中心）
Lateral tracking control of all-wheel steering vehicles with intelligent tires
Department of Electrical Engineering, Linköping University（林奈大学电气工程系）；Department of Engineering Cybernetics, NTNU（挪威技术大学工程 cybernetics 系）；IEEE Publication Technology Department（IEEE出版技术部）
Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review
Qatar University（卡塔尔大学）；The University of British Columbia（不列颠哥伦比亚大学）；Rajshahi University of Engineering & Technology（拉杰沙希工程技术大学）；KINDI Center for Computing Research（金迪计算研究中心）；Qatar Mobility Innovations Center (QMIC)（卡塔尔移动创新中心）；Manchester Metropolitan University（曼彻斯特城市大学）
