Phoenix Perception Radar
About
About Phoenix Perception Radar
Phoenix uses 2,304 virtual channels to produce four-dimensional radar data with 0.7-degree azimuth and 0.9-degree elevation resolution. Its 120-by-30-degree field of view reaches 300 metres and outputs up to 20 frames per second.
The radar measures range, elevation, bearing and Doppler velocity for hundreds of objects and supports stationary-object detection, free-space mapping, tracking and SLAM. Front, rear and surround installations serve passenger vehicles, robotaxis, trucks, heavy machinery and static security systems. Arbe supplies the radar with its chipset and perception software.
Context
Market context
Phoenix is Arbe's high-resolution perception radar for autonomy systems that need weather-robust sensing across automotive, robotaxi, heavy-machinery, and all-terrain applications.
- Target environment: Autonomous vehicles, robotaxis, industrial vehicles, off-road equipment, and mobile machines exposed to weather, dust, lighting variation, or long-range detection needs.
- Workflow context: Perception radar, obstacle detection, Doppler velocity sensing, safety redundancy, and sensor-fusion input for autonomy systems.
- Customer context: Autonomy developers, automotive and industrial-vehicle OEMs, Tier 1 suppliers, robotaxi programs, and heavy-equipment autonomy teams.
- Deployment model: Sensor module integrated into vehicle and machine perception stacks alongside cameras, LiDAR, compute, and autonomy software.
- Commercial maturity: Commercial perception-radar platform positioned for autonomy markets that need weather-robust sensing.
- Adoption constraints: Adoption depends on radar perception software integration, sensor-fusion tuning, validation against use-case safety requirements, and competition from camera/LiDAR-heavy stacks.
- Market position: Perception-radar component for robotics and autonomous mobility supply chains where radar redundancy is valuable.
- Adjacent products: Atlas Ultra 4D LiDAR, JT16 Mini 3D LiDAR, UST-10LX Scanning Rangefinder
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