Traditional ADAS radars work well in simple environments, but struggle with static object detection, and advancing to higher autonomous-drive capabilities poses challenges with reliability and accuracy. To address these, the industry seeks solutions prioritising safety for passengers and pedestrians. Achieving safe autonomous driving is generally understood to require additional sensing beyond just cameras. Mobileye’s True Redundancy approach uses lidars and a new category of imaging radars to create an independent sensing state, improving road safety and autonomous features.
Mobileye’s imaging radar has been specifically developed for autonomous driving. This advanced imaging technology offers a higher dynamic range than conventional radars in difficult situations, like detecting a child 150 meters away when a bus is only 10 meters from the vehicle.
In contrast to traditional radar systems with limited object detection capabilities, Mobileye’s imaging radar provides more detailed object detection with enhanced elevational resolution. This precise detection allows the system to identify objects in unique scenarios, such as stationary vehicles under a bridge. It produces a rich point cloud that aids AV driving capabilities, including accurate lane assignment and rapid reactions at high speeds. The system can detect road users—pedestrians, motorcycles, and cyclists—up to 350 meters away and recognize potential hazards as far as 230 meters.
The automotive industry is undergoing significant changes in radar technology to improve current systems. The Mobileye radar portfolio offers high angular resolution, wide dynamic range, and excellent sidelobe suppression, which helps detect small and low-reflective objects on highways at speeds up to 130 km/h.
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Mobileye and Valeo announced last year a new partnership for software-defined imaging radar. Through this partnership, the two companies could be able to propose this type of 4D imaging radar to the world’s automakers, for L3 AD vehicles.