Visual language model helps upgrade car navigation system

The application of visual language model (VLM) technology has brought unprecedented upgrades to car navigation systems. By understanding and interpreting visual and textual information, VLM can help vehicles better understand the surrounding environment, thereby providing more accurate and real-time navigation information. For example, VLM can help vehicles identify real-time traffic conditions on the road, predict traffic congestion, and even plan the best driving route. This not only improves the navigation efficiency and accuracy of the vehicle, but also greatly enhances the user's driving experience.