Patent analysis is an important form of competitive intelligence analysis. It involves tracking, researching, and analyzing patents, inventing certain technology areas and competitors, and forming competitive intelligence that can consider the overall situation and forecast function to provide decision-making references for countries and enterprises in terms of industrial development, technology layout, and service development. In this paper, patent search and analysis methods are used to investigate and study the automated driving vehicle safety technology. First, using patent search based on application country, applicant, patent classification number, and other information, this paper provides the development trend in the field of automated driving vehicle safety technology. Moreover, the specific technical connotation of each patent is analyzed, and the technology status, patent layout strategy, and development trend of the automated driving vehicle safety field are expounded with respect to five aspects, namely, passive safety, functional safety, safety of the intended functionality, behavior safety, and cybersecurity. In this paper, we elaborate on the research and development roadmap of automated driving safety technology from the viewpoint of patents, thus providing a certain reference significance for the advancement and overall arrangement of automated driving vehicle safety technologies.