Application of visual language model in autonomous driving

As a new type of artificial intelligence technology, visual language model (VLM) is changing the rules of the game in the autonomous driving industry. This model can understand and interpret visual and textual information, allowing vehicles to better understand the surrounding environment and make decisions. For example, VLM can help vehicles recognize traffic signs and road markings, understand the intentions of pedestrians and other vehicles, and even predict the behavior of other drivers. This can not only improve the safety and efficiency of autonomous vehicles, but also help solve some problems that have long plagued the autonomous driving industry, such as how to deal with complex traffic scenarios and uncertain factors.