4D imaging radar provides real-time 360-degree perception for autonomous vehicles by measuring range, azimuth (horizontal angle), elevation (vertical angle), and velocity simultaneously. Unlike traditional radar that provides 2D or 3D data, 4D radar adds elevation information and enhanced velocity resolution, creating more detailed point clouds that enable better object classification and tracking. The technology uses advanced antenna arrays and signal processing to achieve high resolution in all four dimensions, providing comprehensive environmental awareness.
The 360-degree coverage enables complete situational awareness around the vehicle, detecting objects in all directions including those that might be missed by cameras or LiDAR due to weather conditions or lighting. 4D radar works effectively in rain, fog, snow, and darkness where optical sensors struggle, making it essential for reliable autonomous driving. The technology can distinguish between different object types (vehicles, pedestrians, cyclists), track multiple objects simultaneously, and provide velocity information critical for predicting trajectories. This makes 4D imaging radar a key sensor for Level 3 and Level 4 autonomous vehicles, providing redundant perception capabilities that enhance safety and reliability in diverse driving conditions.
Provides ultra-high resolution 4D imaging radar chipsets that separate, track, and identify objects in high azimuth and elevation.
Pioneered the first digital imaging radar-on-chip, offering higher contrast and resolution than analog radar.
Develops 4D imaging radar sensors used for elderly care fall detection and vital sign monitoring without cameras.
Produces low-power AI vision SoCs that enable cameras to perform advanced analytics locally.
Uses 3D-printed Luneburg lens antennas to create 4D radar with 360-degree field of view from a single sensor.
Developing proprietary software-defined imaging radar to complement their camera-based autonomous driving systems.
Develops high-resolution radar software that combines data from multiple standard radar sensors to create 4D imaging results.
Automotive supplier researching road condition monitoring via tire sensors (eTIS) and smart infrastructure interaction.
Leading manufacturer of Near Field Communication (NFC) and Secure Element chips used in offline payment hardware.
Report
Achieving 4D radar imaging with a single-chip, 8-by-8 cascadable transceiverTexas Instruments · Dec 1, 2025
Technical article detailing how single-chip transceivers enable 4D imaging radar with vertical angle measurement, supporting satellite radar architectures for comprehensive vehicle coverage.
Paper
RadarMP: Motion Perception for 4D mmWave Radar in Autonomous DrivingarXiv · Sep 16, 2025
Proposes RadarMP, a unified architecture for 3D scene motion perception using low-level radar echo signals from 4D mmWave radar, demonstrating improved reliability in adverse weather.
Article
The Evolution of 4D Imaging Radar: Unlocking the Future of Autonomous DrivingNXP Semiconductors · Jul 31, 2025
Discusses how 4D imaging radar adds elevation data to traditional range, speed, and azimuth measurements, achieving sub-degree azimuth resolution and ranges exceeding 300 meters.
Article
4D Imaging Radar: Revolutionizing Automotive Sensing for Enhanced SafetyADAS Radar · Mar 11, 2025
Describes 4D imaging radar as a major leap forward that adds elevation to range, velocity, and azimuth, enabling high-resolution real-time imaging of complex environments.
Article
4D Imaging mmWave Radar: Opening a New Era of Intelligent PerceptionZLY TECH · Nov 25, 2025
Highlights the transition from 3D to 4D radar driven by safety standards, emphasizing the ability to detect vertical height and create four-dimensional perception.
