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Hesai – OT128

Scalable 360-Degree Perception
Calibration Free 360° Unstitched FOV
Powering Seamless Intelligent Driving

Scalable 360-Degree Perception

The OT128 spinning lidar utilizes a simplified transceiver module design to significantly reduce the cost while still maintaining extremely high performance and reliability.

The unique combination of high-performance 360-degree perception and affordability makes the OT128 the ideal lidar solution for scalable autonomous driving applications.

Key Specifications

Point Rate

3,456,000 points/s (Single Return) 6,912,000 points/s (Dual Return)

Field of View

360° (H) x 40° (V)

Power Consumption

29 W

Angular Resolution (Finest)

0.1° (H) x 0.125° (V)

Range

200 m @10% Reflectivity, 230 m Maximum

Size (Max. Diameter x Height)

118.0 mm x 132.3 mm

Calibration Free 360° Unstitched FOV

A single OT128 lidar can cover a vehicle’s entire field of view without stitching,

eliminating the need for multiple calibration steps which can significantly accelerate algorithm development.

Ultra-High Resolution, Powering Seamless Intelligent Driving

With a finest angular resolution of 0.1° (H) x 0.125° (V), the OT128 can accurately perceive objects large and small at a distance of 200 meters away,
providing powerful perception data for autonomous driving systems.

Long-Range Perception for Comprehensive On-Road Awareness

Under 100 klux strong ambient light, OT128 has a ranging capability of 200 m at 10% reflectivity (230 m maximum),
clearly detecting objects in real time and capturing every detail of its surrounding road conditions.
 

IPE: Noise Filter Function Enables All-Weather Perception

Leveraging Hesai’s proprietary Intelligent Point Cloud Engine (IPE), the OT128 is capable of detecting rain, fog, exhaust fumes, and water splashes on the road. It performs real-time marking of these phenomena at a pixel level, effectively filtering out environmental noise. This capability will significantly mitigate the impact of rain and fog on lidar performance, there by enhancing its clarity and enabling all-weather perception across various applications.

XT32-16
XT32-16
AT128
AT128
XT32M
XT32M
QT128
QT128
FT120
FT120
OT128
OT128
Object Detection
Mapping
Object Identification
Channels 16/32 128 32 128 120x160 128
Field of View 360° X 31° 120° X 25.4° 360° X 40.3° 360° X 105.2° 100° X 75° 360° X 40°
Range 80m @ 10% Reflectivity 210m @ 10% Reflectivity 80m @ 10% Reflectivity 20m @ 10% Reflectivity 22m @ 10% Reflectivity 200m @ 10% Reflectivity
Min Range 0.05m 1m 0.5m 0.05m 0.1m 0.3m
Weight 0.8 kg 0.94 kg 0.49 kg 0.7 kg 0.7 kg 2.2 kg
Accuracy 1 cm 5 cm 1 cm 3 cm 5 cm 3 cm
Max Range 120 m 260 m 300 m 50 m 50 m 230 m
Resolution Horizontal 0.09° - 0.36° 0.1° - 0.2° 0.09° - 0.36° 0.4° - 1.6° 0.625° 0.1° - 0.4°
Resolution Vertical 1°/ 2° 0.2° - 0.8° 1.3° 0.4° - 1.6° 0.625° 0.125° - 1.72°

FAQ

The prices quoted are DAP and do include shipping, but do NOT include tariffs. If the sensor will be shipped to the US and you prefer DDP pricing (including tariffs), please contact our sales team at hesai@cratustech.com.

Hesai maintains a healthy stock of all their standard sensors (usually in the hundreds), so lead time is typically 2-3 weeks from receipt of order.

Yes! For larger orders, please contact our sales team at hesai@cratustech.com.

The lidar sensors come with a connection box, a cable that connections the lidar to the connection box, and a power supply. You only need to supply an RJ45 ethernet cable to connect to the connection box.

Yes, both CRATUS and Hesai have technical support staff in the US and abroad to support our customers.

No, the connection box translates automotive ethernet to standard ethernet and provides a convenient power connection. Customers who want to directly integrate the lidar may do so.

Sensors do NOT contain any form of wifi or wireless communication method and it does NOT include a hard disk drive to store data.

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One of our experts will be communicating with you shortly. We are committed to understanding your application and providing support, tailored to your specific requirements.