Ainstein’s K-79 autonomous automotive imaging radar sensor is deemed to be the first commercially available sensor optimized and validated for autonomous operation of vehicles in hazardous conditions, such as low-light and extreme dust. It is designed for use in self-driving industrial trucks, tractors and similar specialty vehicles.
The K-79 produces a high-resolution, detailed point cloud of a vehicle's surroundings for both moving and stationary objects. Other key workings include:
- Pinpoints the location of objects and provides range, speed, azimuth and elevation information.
- Creates a 2D point cloud mapping of surroundings.
- Capable of producing 3D shapes of detected objects, offering LiDAR-like image quality in poor conditions.
- Allows for target classification to distinguish between vehicles and pedestrians.
According to the company, this functionality opens unlimited possibilities for all types of autonomous vehicles, including self-driving excavators, snow removers, shuttles, sweepers, forklifts, agricultural equipment and more. The K-79 combines advanced algorithms in imaging and localization, and radar system design, which allows Ainstein to leverage low-cost commercial radar components to provide a 4D radar point cloud with the most granular details of surroundings at a fraction of the cost of LiDAR systems. For additional information, peruse the K-79 datasheet and checkout the video demo below.