Not long ago, the release of bitsensing’s AIR4D 4D imaging radar drew significant attention across the industry. As a sensor designed for L4 autonomous driving, it challenged LiDAR with its 300m detection range, high-density point clouds, and camera-fusion architecture.
Now, the CTLRR-540 (6T8R) 4D Imaging Radar has surpassed it in multiple dimensions — farther, denser, smaller, and more efficient.
A Radar Built for High-Level Autonomous Driving
The CTLRR-540 is a 77GHz 4D imaging millimeter-wave front radar. It not only meets the demands of L2+ and higher autonomous driving but is also widely used in intelligent transportation, smart industry, special vehicles, and more.
Key Specifications:
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Detection Range: Up to 360m for vehicles, 240m for two-wheelers, 170m for pedestrians
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High-Altitude Target Detection: Up to 200m (e.g., overpasses, tunnel ceiling grilles)
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Point Cloud Density: 2,048 points per frame, max 256 tracked targets
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Range Resolution: 0.15m — superior to most competitors
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Azimuth Resolution: 1.1° ; Pitch Resolution: 2.35°
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Operating Voltage: 12V, Power Consumption ≤10W
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Waterproof Rating: IP6K7 & IP6K9K
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Functional Safety: ASIL B
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Dimensions: 88mm × 65mm × 19.3mm ( only 150g )
Technical Approach: 2-Chip Cascade, 4-Chip Performance
Unlike most 4D radars on the market that use a 4-chip cascade, the CTLRR-540 employs a 2-chip RF cascade + AM2732 processor on a single PCB board. With sparse MIMO array, DDMA + frequency hopping waveform, AI-based multipath filtering, and MUSIC/DML super-resolution algorithms, it achieves:
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6x signal-to-noise ratio improvement over conventional radars
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More than 2x better range resolution than other products
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40,000 points per second — 1-2x faster than competitors
The conclusion is straightforward: 2-chip cascade performance rivals industry 4-chip cascade products.
Open Architecture, Truly Developer-Ready
Like the AIR4D, the CTLRR-540 supports point cloud and track data output via CAN / 100M Ethernet interfaces. This allows developers to access raw perception data and develop their own algorithms — no black-box limitations.
Applications: Beyond Automotive
The CTLRR-540 goes far beyond traditional forward radar applications:
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Autonomous Driving: AVP, NOA, AEB, ACC, FCW, SLAM
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Intelligent Transportation: Intersection warning, all-weather highway monitoring, in-tunnel target tracking ( >200m )
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Smart Industry & Security: Perimeter intrusion detection, drone perception, industrial robotics
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Special Vehicles: Mining trucks, agricultural vehicles, specialty vehicles
Proven Imaging Capabilities (Real-World Tested)
Field-tested imaging cases show the CTLRR-540 clearly captures:
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Pedestrian contours
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Intersection traffic participants
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Overpass pillars and billboards
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Tunnel ceiling concrete grilles
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Vehicles and traffic lights at intersections
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Stable detection, tracking, and classification of up to 256 targets (pedestrians / two-wheelers / four-wheelers)
Color-coded point clouds are displayed by height (ground to over 5 meters), distinguishing static from dynamic targets.
Easy Installation, Fast Integration
The CTLRR-540 features a TE 8-pin waterproof connector. Recommended installation height is 320–360mm, with a horizontal FOV of ±60° and pitch FOV of ±15°. The radome should be made of non-metallic materials such as ABS, PP, or PC, with a thickness of 2–4mm. A minimum gap of 5mm between the radar and the radome ensures detection accuracy.
Conclusion: A Better Choice Has Arrived
While bitsensing’s AIR4D set a benchmark for replacing LiDAR with “4D imaging radar + cameras,” the CTLRR-540 delivers an even more compelling, production-ready solution — with 360m detection range, 2,048 points per frame, 150g weight, ≤10W power consumption, and a 2-chip cascade design.
The CTLRR-540 is now available for sample requests and technical collaboration with global customers.
Want to use radar in your project?
Contact Vivi: susiqi@mwradar.com or WeChat/WhatsApp: +86 181 2377 8519
