Intelligent and Connected Vehicle (ICV)-Road-Cloud collaboration is of great significance to the convergence and development of China’s intelligent vehicle transportation industry. In order to improve the application and operation standards of ICVs and enhance the technical implementation of intelligent assisted driving systems, this paper focuses on the working principles of the Intelligent and Connected Vehicle-Road-Cloud collaboration system framework and application architecture. Moreover, the research trends of key Vehicle-Road-Cloud technologies are analyzed, such as wireless communication technologies, fusion and positioning, testing and evaluation technologies of vehicles. The results of the analysis show that a new “Human-Vehicle-Road-Cloud” framework is needed to realize the development from single-vehicle intelligence to Vehicle-Road-Cloud collaboration technologies, and breakthroughs in cloud collaboration control models are urgently needed. The results of the study are beneficial for promoting the research of Vehicle-Road-Cloud collaboration in ICV, advancing the innovation change of ICV and providing technological reference and development direction.

In order to further improve the safety and stability of the driving process, reduce man-machine conflict, and realize the hybrid enhancement of man-machine intelligence, man-machine collaborative control has become an insurmountable key stage of automobile intelligence. On the basis of summarizing relevant literatures on man-machine cooperative control, according to the development history of Advanced Driver Assistance Systems (ADAS), the functions and key technical issues of various assistance systems in man-machine cooperative control system are summarized, and the deep man-machine interaction mode and research status in man-machine cooperative control system are analyzed. The shortcomings of current research and the key issues that should be paid attention to in future man-machine cooperative control research are summarized.

With the rapid development of chip technology, communication technology, and cloud computing technology, Human Machine Interaction (HMI) in automobiles is constantly developing towards greater diversity, intelligence, and personalization, resulting in the concept of multimodal fusion interaction. To process complex multimodal information and provide intelligent feedback to passengers, a multimodal Artificial Intelligence (AI) interaction model as the "intelligent" brain on cars is established. This article elaborates on a HMI solution that combines end-to-end cloud and multimodal fusion. On the basis of fully utilizing the advantages of AI technologies, the cloud computing power and vehicle computing power are effectively decomposed to achieve a set of multi-modal HMI application solution combined with cloud computing, vehicle assisted computing and execution based on AI.

At present, the automobile industry is developing towards the trend of intelligence, the vehicle information entertainment audio system has become the focus of public attention. In order to improve the entertainment and functionality of vehicle audio playback system, an audio architecture design of vehicle infotainment system based on user experience is proposed, focusing on the hardware structure, the audio source classification design in detail and the mixing strategy design as well as implementation process are discussed. Through the vehicle infotainment audio playback system, multi-audio source mixed playback can be realized. The audio source gain reduction strategy based on user experience can effectively improve the entertainment and functionality of the vehicle audio playback system and improve user experience.

As a way to achieve carbon neutrality, hydrogen energy is an important component of the future national energy system, and it is necessary for the selection of hydrogen technology routes and the formulation of hydrogen energy development plans. In March 2022, China issued the Medium and Long-term Planning for the Hydrogen Energy Industry (2021-2035), which makes strategic positioning and overall requirements for the development of hydrogen energy from the national level. On the basis of grasping the content and development direction of China’s hydrogen energy planning, through the collection and research of literature, combined with the situation of fuel cell demonstration cities and hydrogen energy power technology routes, this paper analyzes the development route of China’s hydrogen energy industry, the degree of localization of key materials and components, elaborates the application and status quo of hydrogen energy in the field of transportation, and gives reasonable suggestions.

The performance test of automobile safety belt is a national mandatory requirement. However, At present, there is a great deal of waste and non-standardization in all aspects of the testing processes, including aspects of personals, machines, materials, methods and the environment, resulting in inefficient testing and poor supervision of testing quality in the laboratory. The statistical analysis is carried out for current status in laboratory, the current value stream map of vehicle safety belt performance testing is drawn, the waste existing in each inspection process and the problem of unsmooth flow between processes are investigated. Under the guidance of lean thinking, a “pull testing” mode is established, the future map of value stream is drawn, and a value-added system is established. According to the requirements of the value added system and the future map of the value stream, improvement measures from 4 aspects are proposed, including on-site guarantee, quality guarantee, balanced detection guarantee and good external cooperation, realizing the balanced detection of automobile safety belt performance. Performance tests prove that, the testing period of single batch of samples is reduced from 37.8 days to 14.5 days, and the error rate of personnel remains below 0.1%.

This paper elaborates the importance of Data Virtual Review (DVR) in the research and development of automotive design, as well as the drawbacks of the widely applied shadow pre-baked rendering technology. The advantages of real-time rendering game engine UE5 utilized for automotive design DVR are elaborated, including better visualization effects, higher customization and rich multi-platform support. This paper also presents successful cases of applying Unreal Engine (UE) in automotive design DVR by Pagani, BMW Group and The Mill automotive advertiser, concluding the feasibility of using UE5 for automotive design DVR. Finally, based on years of experience in automotive virtual review, the factors that need to be considered are analyzed when developing a VR system for automotive styling review. UE5 blueprint system is applied to build User Interface (UI) and related functions assisted for automotive styling review, and pixel streaming technology is also utilized in UE to build an online review login interface, enabling reviewers to view automotive design data through mobile phones or computer websites at any time, thereby improving data review efficiency.

With the development of big data, in addition to the needs of business functions such as vehicle information and record forwarding, the monitoring of vehicles also requires analysis and statistics of real-time vehicle data. In order to solve this problem, a fusion model scheme is proposed that combines the business platform and the algorithm platform through the technologies of Java and Python integration. The Python script is called in the Java code through the command line, and an Application Program Interface (API) is provided externally for the business platform to call. The solution integrates the business platform and the algorithm platform, and at the same time, they are deployed as independent services, decoupled from each other, and better monitoring vehicle information, real-time data, fault information, and operating conditions. The design and implementation of the system are in line with the digital transformation needs of the vehicle industry in the era of big data. The technical optimization scheme of the vehicle monitoring system is proposed, and the technical design of the fusion model is elaborated in detail. The application of the fusion model in vehicle monitoring system is of great value to the intelligent development of vehicle industry.