Arbe High-Resolution 4D Millimeter-Wave Imaging Radar

Arbe High-Resolution 4D Millimeter-Wave Imaging Radar

Arbe is leading a radar revolution, providing 4D imaging radar technology that enables truly safe driving assistance today while paving the way for fully autonomous driving. Arbe is empowering the automotive market with next-generation sensing capabilities and paradigm-shifting perception.

Arbe's imaging radar technology offers an order of magnitude higher resolution than any other competing solution on the market, making it a critical sensor for L2+ and higher levels of autonomous driving.

Arbe's solution includes the industry's largest channel array RF chipset, a groundbreaking radar processor chip, and AI-based post-processing.

Arbe High-Resolution 4D Millimeter-Wave Imaging Radar Exceptional Imaging Quality and Performance

With native support for 2,304 virtual channels, the Phoenix chipset delivers unparalleled imaging quality, fine enough to enable stationary object detection, eliminate false alarms, resolve Doppler ambiguity, and avoid and mitigate interference.

Arbe High-Resolution 4D Millimeter-Wave Imaging Radar Performance:

Frequency Band: 77-79GHz;

Ultra-High Resolution: Horizontal 1°, Vertical 1.8°;

Wide Field of View: Horizontal 100°, Vertical 30°;

Detection Range: 450m;

High Range Resolution: 7.5cm-60cm;

Real-Time: 30FPS;

No Doppler Ambiguity, Low Latency;

Doppler Accuracy: 0.1 m/s;

Number of Simultaneously Tracked Targets: 500;

Arbe High-Resolution 4D Millimeter-Wave Imaging Radar Excellent Design:

No Spatial Doppler Coupling/Doppler Ambiguity;

Elimination of False Alarms Through Optimal Antenna Design;

Interference Avoidance (via Frequency Hopping, Mitigation Techniques, and Filtering);

Creating Reliable and Accurate Targets:

Detection and Separation of Stationary and Dynamic Objects,

Cluster Detection and Bounding Box;

Point Cloud Data as the Foundation for Advanced Perception Algorithm Development:

Free Space Mapping;

Target Tracking;

Simultaneous Localization and Mapping (SLAM);

Autonomous Speed Recognition;

Easier Fusion with Camera;

Application Scenarios: Autonomous Vehicles, Transportation, Aircraft, Smart Cities, and Infrastructure;