智能视觉感知系统_MAXIEYE-AI FOR MOBILITY

中文

Intelligent Vision Perception System

Based-on MAXI-NET deep learning neural networks

Intelligent Vision Perception System

Based-on MAXI-NET deep learning neural networks

MAXIEYE Intelligent Vision Perception Camera is based on MAXI-NET self developed deep learning neural networks, which can achieve high performance data output and support dozens of object types perception and trajectory prediction. The camera enables 4D information output, high precision ranging and velocity measurement, and integrated development of ADAS control functions in the sensor SoC. It also supports sensor fusion and OTA deployed to achieve data driving functions upgrade.

High Performance
Perception For ADAS and ADS Commercialization

Support Cross Platform, Multi Scene Applications

High Precision
High Accuracy

Real-time Perception and Prediction

Flexibility of Underlying Data Customized

Automatic Calibration

Support L2 and Above Control Functions

IFVS-1V

Parameter

IFVS-1V

FOV

100°

Resolution

1920*1080

Detection range

200m

Working temperature

-40°C~90°C

Installation position

Front windshield interior or rear view mirror

Applicable platform

Passenger car

Support functions

FCW/AEB/ACC/LCC/ TJA/NOM/TSR/AHBC/TLR

IFVS-1V

Parameter

IFVS-1V

FOV

100°

Resolution

1920*1080

Detection range

200m

Working temperature

-40°C~90°C

Installation position

Front windshield interior or rear view mirror

Applicable platform

Commercial vehicle

Support functions

FCW/AEB/eACC/LCC/ TJA/NOM/TSR/AHBC/TLR

IFV2V

Parameter

IFV2V

Fisheye FOV

150°

Forward FOV

57°

Resolution

1920*1080

Detection range

200m

Working temperature

-40°C~90°C

Installation position

Front windshield interior or rear view mirror

Applicable platform

Commercial vehicle

Support functions

FCW/AEB/eACC/BSD/LCC/ TJA/NOM/TSR/AHBC/TLR

Rich Target Attributes Perception and Prediction

Can identify different shapes of vehicles and their 3D shapes (length, width, height and heading angle)

Can identify pedestrians and cyclists in different poses

Can identify obstacles (cone barrels, tires, stones, etc.)

Can identify more than 8 kinds of lane lines, such as solid lines, dashed lines and double solid lines, as well as stop lines and zebra crossing, and support 3D output

Can identify 100 meters of driving area and road slope in front of the vehicle, and accurately predict the type of area boundary (such as curb, vehicle, pedestrian, etc.)

Can identify various forms of traffic lights (circular, arrow, etc.) and high limit signs, speed limit signs and other traffic signs