Hummingbird D1

Product Specs

Hummingbird D1

Short Range Flash LiDAR

Hummingbird D1

Short Range Flash LiDAR

Detection Range

Hummingbird D1

Short Range Flash LiDAR

0.1m - 50m (30m@10%)

Hummingbird D1

Short Range Flash LiDAR

Field of View (HxV)

Hummingbird D1

Short Range Flash LiDAR

140°×100°

Hummingbird D1

Short Range Flash LiDAR

Resolution

Hummingbird D1

Short Range Flash LiDAR

0.55°×0.52°

Hummingbird D1

Short Range Flash LiDAR

Power Consumption

Hummingbird D1

Short Range Flash LiDAR

< 8W

Hummingbird D1

Short Range Flash LiDAR

Laser

Hummingbird D1

Short Range Flash LiDAR

940nm, Class1(IEC-60825)

Hummingbird D1

Short Range Flash LiDAR

Dimensions

Hummingbird D1

Short Range Flash LiDAR

50mm×50mm×40mm

Solid-State Design for Enhanced Reliability

The Hummingbird D1 features a fully solid-state electronic scanning design, which eliminates mechanical wear and tear. This design choice directly improves product reliability, production efficiency, and consistency for mass production. This ensures stable and dependable performance for intelligent driving and robotics applications.

Compact Form Factor with High Performance

The Hummingbird’s ultra-compact size makes it incredibly versatile without compromising on performance. It can be integrated seamlessly into a wide range of platforms, from robot arms and drones to car bumpers and side mirrors. This design minimizes physical footprint without compromising on LiDAR performance, offering engineers the flexibility to optimize sensor placement for superior perception without increasing bulk.

Unparalleled Field of View and Near-Field Coverage

The Hummingbird provides an ultra-wide FOV of 140° x 100° with a detection blind zone of less than 10 cm. This enables comprehensive coverage of both the near-field and sides of a vehicle, crucial for accurate perception in high-risk scenarios such as lane changes and cut-ins.

Scalable Satellite Architecture

The Hummingbird D1 supports a satellite architecture that utilizes raw data output and centralized processing. This structure enhances system resource efficiency and provides a flexible foundation for future algorithms and feature updates. This design makes the system a scalable and cost-effective solution for autonomous applications, ensuring precision and reliability.

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