With the rapid development of autonomous driving technology, the demand for high-quality maps has significantly increased. The accuracy and reliability of high-precision maps are crucial for the safety of autonomous vehicles. In this research, we aim to investigate the current state of quality inspection for high-precision autonomous driving maps, analyze the elements of the maps, establish a comprehensive quality inspection indicator system, and propose evaluation methods. To validate the quality inspection, research data from a Beijing high-level autonomous driving demonstration zone was used. The results showed that the form of traffic signals, characteristics of traffic information, and other related information are prone to errors and should be given attention during quality inspection. The quality inspection indicators and evaluation methods meet the practical application needs of high-precision autonomous driving maps, sufficiently guiding the map quality control and inspection. The high-precision autonomous driving map quality inspection indicator system and evaluation method can effectively ensure the data quality of autonomous driving maps.