Metawave Corporation recently announced that the company has released an industry-leading advanced on-board radar product that can detect vehicle speeds and vehicles at a distance of 300 meters and pedestrians and bicycles at a distance of 180 meters. This device integrates Infineon's 77GHz radar chipset, which is composed of the RXS8160 MMIC and AURIX microcontroller, and is matched with NVIDIA's artificial intelligence processing engine. Metawave's R & D test platform contains twice the number of automotive sensors currently available, but the latter can only detect difficult-to-recognize targets with blurred appearance, and the detection distance is short.
According to Research and Markets, as of 2023, the market value of the automotive radar market will reach more than $ 945.4 million. In terms of improving the safety of autonomous vehicles, advanced intelligent radar will play an important role, especially in driving situations such as dense fog, storms and muddy roads. Current radars have limited high-definition vision capabilities, making it difficult to determine the true identity of the target, and artificial intelligence is required to classify vehicles within a range of 300 meters ahead.
Metawave's intelligent radar platform WARLORD only needs to use an antenna to process the analog signal. The antenna itself can realize the shaping and steering of the laser beam, quickly identify the target in the simulation space, and use artificial intelligence to display the field of view detected by the radar.
Cameras, lidars, and radars are the three basic components of today's autonomous vehicle sensing systems. The camera has the highest resolution, but the detection distance does not exceed 70 meters. The detection range of the lidar is 180 meters, and the resolution of the image is relatively high. The radar can operate in lower frequency bands, and the detection range is higher than the other two types of sensors. Today, radars have poor resolution and cannot achieve differentiated classification of targets. This type of system requires multiple antennas for assistance, which leads to the device being too heavy and expensive, and it is time-consuming to analyze the signals one by one in the digital field.