4D Imaging Technology

Technical Principle

Building on traditional 3D radar (range, speed, azimuth), 4D imaging radar adds elevation measurement to accurately capture target height information. Using MIMO antenna arrays and high-resolution imaging algorithms, it transmits FMCW signals and receives echoes. Multi-channel parallel processing generates high-density point cloud data, enabling 3D spatial modeling of targets and outputting 4D trajectories including position, speed, heading angle, and height.

Key Features

3D sensing capability – Captures target height, accurately distinguishing vehicles on different levels of overpasses, as well as identifying pedestrians and non-motor vehicles.
High-density point cloud output – Tens of thousands of points per second, finely restoring target contour and motion attitude.
Holographic trajectory characterization – Fuses 4D information to output stable, smooth, high-resolution continuous trajectories.
Complex scenario adaptability – Effectively handles detection blind spots of traditional 3D radar such as curves, tunnels, and parallel vehicles.
All-weather high reliability – Unaffected by lighting, rain, snow, or fog, ensuring 7×24 3D sensing.