AV Imaging Radar Sensor Validated for Hazardous Operating Conditions

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:

FREE SENSORS NEWSLETTER

Like this story? Subscribe to Sensors Online!

Sensors delivers a suite of newsletters, each serving as an information resource to help engineers and engineering professionals make efficient design and business decisions. Sign up to get news and updates delivered to your inbox and read on the go.
  • 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.