Altos 4D imaging Radar, Real Time Road Test Point Cloud --- 11-02-2023
Left side: (Both Lidar and Radar Points) Yellow dots : Points from 128 line Lidar Right side: (Radar Points only) Green dots : Stationary Points Red dots: Approaching Points Purple dots: Departing Points Grid: 20m x 20m for the light squares 100m x 100m for the brighter squares Note: 1. This is real time generated point clouds from Altos V1, Altos 4D imaging radar, with NO post-processing. 2. There is equivalent 2-frame accumulation for the Radar points. 3. The video is speed up x3. 4. Lidar points are adjusted to be of smaller size and density, serving as reference only. 5. The data is recorded on Nov.2nd.2023 in Beijing China, at peak traffic hours. 6. The Radar, Lidar and the camera were all mounted on the top of the vehicle. 7. For display purpose, the Radar calculated the self speed and compensated each points so that the displayed velocity is referenced to the ground. We set 3m/s as the criteria for distinguishing moving/stationary objects.
Left side: (Both Lidar and Radar Points) Yellow dots : Points from 128 line Lidar Right side: (Radar Points only) Green dots : Stationary Points Red dots: Approaching Points Purple dots: Departing Points Grid: 20m x 20m for the light squares 100m x 100m for the brighter squares Note: 1. This is real time generated point clouds from Altos V1, Altos 4D imaging radar, with NO post-processing. 2. There is equivalent 2-frame accumulation for the Radar points. 3. The video is speed up x3. 4. Lidar points are adjusted to be of smaller size and density, serving as reference only. 5. The data is recorded on Nov.2nd.2023 in Beijing China, at peak traffic hours. 6. The Radar, Lidar and the camera were all mounted on the top of the vehicle. 7. For display purpose, the Radar calculated the self speed and compensated each points so that the displayed velocity is referenced to the ground. We set 3m/s as the criteria for distinguishing moving/stationary objects.