AA process of ADAS forward camera

   Jacky Yan
Time：2020.07.16 ^20:00-21:00
More than 10 years of professional sales experience at home and abroad
Automotive Camera module technology equipment industry pioneer and intelligent production experts.
At least 5years of experience in auto camera automation equipment business connection and mass production.
Speech platform: CIOE

Aview Company History

Chinese standards for autonomous driving.

1. On March 9.2020, the Ministry of Industry and Information Technology (MIIT) issued the application for approval of the recommended national standard for automobile driving automation classification, which will be formally implemented in 2021

2.  

1. Automobile driving automation classification is one of the basic standards of China’s Intelligent internet-connected automobile standard system, which will provide support for the issuance of mandatory standards related to laws and regulations on automatic driving in China.

   ADAS is defined as a general term for all kinds of systems that monitor drivers, vehicles and their driving environment and assist drivers to perform driving tasks or actively avoid/reduce collision hazards using images, light, sounds, tactile tips/warnings or controls installed on vehicles.

1. Driver fatigue monitoring(DFM)

2. Traffic signs recognition(TSR)

3. Forward distance monitoring(FDM)

4. Rear collision warning(ROW)

5. Blindspot detection(BSD)

6. Steering blind spot detection( STBSD)

7. Rear cross - traffic alert(RCTA)

8. Front cross - traffic alert(FCTA)

1. Door open warning(DOW)

10. Emergency steering assist(ESA)

11. Lane centering control (LCC)

12. Anti-maI operation for accelerator pedal (AMAP)

What is Active Alignment?
  Active Alignment is a technique for determining the relative position of the parts during assembly to ensure the parallelization and perpendicularity of the image sensor and lens.
 

What problems need to be solved?
Image quality
Optimum full - frame resolution (Image offset and tilt)
Optical Mechanic
Relative positioning of the sensor and lens

Forward camera process classification

  360AVM compared with The AA process of ADAS front view camera products.Its OC accuracy increases with the increase of the lens EFL with nonlinear multiple.

Aview’s solution to industry pain points.
Optical environment：30°- 100° DMS（Repeater mirror + Collimator）; 120° FC（Repeater mirror + Collimator）; 150° RVC（Collimator）; 180°-230° 360AVM （Collimator）
Illuminant：White light；850nm ; 940nm（Multi – in – one light sor）
AA ALG：＜2mm DMS / RVC / 360AVM /OMS  (Traditional target diagram card /AA ALG)；2-16mm FC (New target diagram card / AA ALG)
Decoding Deck：TI913/ 933 (TI914) ; TI1953 (TI954); Maxim 96705/96707 (Maxim 96706); Maxim9295 (Maxim 9296)

Mobileye EyeQ4 Forward camera parameter

1. Visual processor：EyeQ4

2. Image Sensor：AR0220AT

3. Resolution：1820 x 940

4. Measuring distance & GT：>100m

5. Horizontal Viewing Angle：100°

6. Vertical viewing Angle：39.6°

ADAS Camera Full Auto Assembly & Test Line

High/low - temperature aging equipment：

• High/low - temperature cycling aging

• Change in detection clarity.

• Defocus change was detected

• Displacement Collimator

• Multi-Camera Image Grabber Board

Testing environment：

• Low temperature：-40℃

• High temperature：120 ℃

• The precision of temperature control： ± 0.5℃

• Temperature fluctuation：±0.5℃

• Evenness：±2.5 ℃

Testing project：

• SFR Test

• OC Test

• De-Focus Test

Aview Service
Design Advice

• Product design advises

• Product process advise

Sampling

• In house Demo AA machine

• 1k class clean room

• Different sampling requirement

Proposal

• Customized standard alone

• Semi-auto line

• Full-auto line

Tuning

• In house calibration machine

• Make a golden sample

Mass Production

• Professional FAE team

• Fast response

September 9-11 2020, Aview will be present at the 22^nd CIOE No.7 7C71. Welcome to the visit.
Aview display of equipment.

  The online promotion speech was a huge success. The number of listeners reached 1000+. After the speech, everyone actively asked questions and made contact with each other. The lecturer patiently replied. Thank you CIOE for support. Looking forward to more cooperation in the future.