Point cloud imaging (similar to the green laser pointer radar) can scan the raster of the beam and follow a certain algorithm to depict the image of objects, such as identifying road signs, vehicle types, people, lampposts and more objects. As vision increases and speed increases, we can embed intelligence in radar. In other words, let the current radar have an enhanced “digital eye” that can learn to recognize specific features of objects and associate them with corresponding categories.
Artificial intelligence (AI) is key because it is the driving force behind our human decentralized intelligence. We are supporters of decentralized intelligence. We believe that radar sensors and any other sensor should have their own brains. Decision algorithms in vehicles should rely on sensor fusion (central intelligence) and individual sensors (decentralized intelligence).
This adds another layer of safety to the car. If your car “sees” a bridge using a camera and / or lidar, now your radar can also say, “Of course, I can see a bridge.” The concept of decentralized intelligence is even more important for radar Because it is currently the only sensor that can see 300 meters ahead in order to become the earliest system to provide early warning. When a self-driving vehicle has multiple sets of data from different green laser pointer sensors, enabling the car to receive information and sense the surrounding environment, autonomous driving will be safer.