Department of Electrical Engineering, Universidad de Concepción, Concepción 4070386, Chile.
Department of Computer Science and Software Engineering, Concordia University, Montreal, QC H3G 1M8, Canada.
Sensors (Basel). 2022 Apr 15;22(8):3040. doi: 10.3390/s22083040.
The design of cooperative advanced driver assistance systems (C-ADAS) involves a holistic and systemic vision that considers the bidirectional interaction among three main elements: the driver, the vehicle, and the surrounding environment. The evolution of these systems reflects this need. In this work, we present a survey of C-ADAS and describe a conceptual architecture that includes the driver, vehicle, and environment and their bidirectional interactions. We address the remote operation of this C-ADAS based on the Internet of vehicles (IoV) paradigm, as well as the involved enabling technologies. We describe the state of the art and the research challenges present in the development of C-ADAS. Finally, to quantify the performance of C-ADAS, we describe the principal evaluation mechanisms and performance metrics employed in these systems.
协同先进驾驶辅助系统（C-ADAS）的设计涉及到整体和系统的视角，考虑了驾驶员、车辆和周围环境这三个主要元素之间的双向交互。这些系统的发展反映了这种需求。在这项工作中，我们对 C-ADAS 进行了调查，并描述了一个包含驾驶员、车辆和环境及其双向交互的概念架构。我们基于车联网（IoV）范式解决了这个 C-ADAS 的远程操作问题，以及所涉及的使能技术。我们描述了 C-ADAS 开发中存在的现状和研究挑战。最后，为了量化 C-ADAS 的性能，我们描述了这些系统中使用的主要评估机制和性能指标。
