Shulou(Shulou.com)06/02 Report--

According to the strategic vision of China's intelligent driving system in the Intelligent vehicle Development Strategy issued by the General Office of the National Development and Reform Commission, by 2025, the technological innovation, industrial ecology, infrastructure, laws and standards, product supervision and network security system of intelligent driving will basically take shape. Intelligent driving vehicle is equipped with advanced on-board sensors, controllers, actuators and other devices, which integrates modern communication and network technology, and has the functions of complex environment perception, intelligent decision-making and collaborative control, so as to achieve safety, high efficiency, comfort and energy-saving driving. The system complexity of intelligent driving vehicle is far more than that of ordinary cars, and it is not a simple collection of all kinds of ADAS. From the initial design and development to the final mass production and sale, it must pass a series of verification and testing. Different from the traditional vehicle testing, the performance characterization of intelligent driving vehicle is uncertain and non-monotonous, which is the result of the coupling of human, vehicle and road traffic environment. The traditional repeated testing under single operating condition is not applicable. It is necessary to cover possible test scenarios, such as limit scenarios or boundary scenarios. The verification of intelligent driving vehicles will focus on the perception and coping ability of vehicles to the traffic environment. At the same time, the introduction of V2X communication technology also increases the testing requirements of networking. Based on the requirements of intelligent driving in the development and testing side, Jingwei Hengrun launched a perception, decision-making and execution system, based on the regulations and industry requirements of intelligent driving development and testing. a "development and test evaluation platform" covering site testing, road testing and virtual testing scenarios.

Car end

Hengrun provides all kinds of sensors and on-board bus full data acquisition on the vehicle side, and carries out real-time data processing and data visualization, which can support the input of intelligent driving test cases and dynamically load the test case library. it can realize the real-time analysis and display of perceptual data and vehicle data in the process of road test and site test, and can realize the automatic extraction of a variety of custom scenes.

Vehicle-end real-time data acquisition and analysis system

GT system (truth system)

Cloud monitoring and management

CMS series products are cloud monitoring and data analysis platform independently developed by Hengrun combined with a great deal of practical experience in ADAS product development, which can real-time collect video and data of intelligent driving vehicles, real-time processing and analysis of massive streaming data, interactive streaming task construction, interactive online monitoring visualization, ECU Tools (remote diagnosis / remote calibration / remote refresh), automatic report generation. Realize the development of intelligent driving system and the management, monitoring, analysis, mining and evaluation of test data. Vehicle data Monitoring and Management system

Data analysis end

Cloud Data Server platform (hereinafter referred to as CDS) is a data analysis platform that integrates data management, data analysis, data visualization and data annotation functions. It is suitable for event screening, data statistics, Simulink model recharge and interactive report generation of vehicle time series data, which greatly improves the efficiency of data analysis and algorithm iteration. CDS functional framework

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