In recent years, with the continuous sprint of autonomous driving technology, manufacturers have an increasing demand for data services, and data has become one of the key factors affecting the landing of autonomous driving.
From the data point of view, the key factors that affect the landing of high-order automatic driving mainly include the following points:
Large-scale and high-quality training data
High-order autopilot needs a lot of high-quality data to train complex and advanced machine learning algorithms. These data include vehicle trajectory, road information, sensor data and so on. Therefore, how to obtain these data quickly and efficiently, and how to clean, mark and verify these data are all one of the key factors affecting the development of high-order autonomous driving.
Data security and privacy protection
High-order autopilot data involves many aspects, such as car owners, passengers, pedestrians and vehicles. Privacy and security issues need attention and protection. Therefore, how to ensure the security of data in the process of collection, transmission and storage is very important.
Data sharing and interoperability
The development of advanced autonomous driving needs a lot of data support, and the data in different regions and different scenes are quite different. Data sharing is an important means to improve advanced autonomous driving technology. Therefore, how to make the data ecosystem more sound and make the data from different data sources better integrated and utilized is also a key issue.
In a word, data plays an important role in high-order autopilot landing, and the quality, safety, enjoyment and processing ability of data need to be paid attention to. The solution of these problems needs the support of technology and algorithm, as well as the formulation and implementation of policies and norms.