Company: Arbe
LinkedIn Post Text: Traditional and basic imaging radars struggle with object classification, often failing to distinguish between different types of objects, especially at long ranges. Advanced imaging radars offer some improvement, but limitations persist.Perception radars change the game by providing a detailed point cloud used as input for AI algorithms, enabling precise classification of cars, pedestrians, bicycles, and even more detailed distinctions like trucks vs. cars or bicycles vs. motorcycles.Additionally, perception radars excel in Free Space Mapping, creating detailed maps of the environment by identifying drivable spaces and obstacle-free areas. This feature is crucial for safe path planning in hands-free and eyes-off driving scenarios.Sensor fusion is another strong point for perception radars. While traditional and basic imaging radars require complex processing for fusion, perception radars generate high-resolution data readily compatible with cameras and LiDAR, en
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