CLOSE

Products
HUD


Automotive LiDAR: the Eye of L3 Autonomous Driving


1. Automotive LiDAR is considered to be an essential sensor for L3 and above autonomous driving


The current L2 autonomous driving perception system is mainly composed of on-board sensors such as ultrasonic radar, millimeter-wave radar, and cameras. Tesla is equipped with a total of 8 cameras around the body, with a field of view of 360 degrees, and the monitoring distance of the surrounding environment can reach up to 250 meters.


Complementing the complete vision system are 12 new ultrasonic sensors that can detect soft or hard objects at nearly twice the range and accuracy of previous-generation systems. The enhanced front-mounted radar can detect through rain, fog, dust, and even the space below the vehicle in front by emitting radar waves of redundant wavelengths, providing more abundant data for the vision system.


LiDAR is considered to be an essential sensor for L3 and above autonomous driving. Lidar has the characteristics of long distance measurement, excellent angular resolution, and little influence by ambient light, and can directly obtain the distance and orientation information of objects without the need for deep learning algorithms. Compared with other sensors, these advantages can significantly improve the reliability of the autonomous driving system, so they are considered by most OEMs and Tier 1 as a must for L3 and above autonomous driving (the responsible party is the automotive system when the function is turned on). sensor.


2. In the rapid development of global L3 mass production vehicles, Chinese automotive LiDARs are accelerating


The L3-level assisted driving mass production vehicle project is currently under rapid development worldwide.


As the cost continues to drop and the vehicle-level requirements are met, automotive LiDAR technology is expected to achieve rapid growth. Considering the development progress of the global advanced assisted driving project, the sales of lidar in the ADAS field in 2020 and 2021 are still mainly contributed by SCALA.


As the cost of automotive LiDAR drops to hundreds of dollars and meets the requirements of vehicle regulations, more and more advanced assisted driving mass production projects will achieve SOP in the future; according to Yole's research report, by 2025, the global passenger car market The penetration rate of L3 autonomous driving will reach about 6%, that is, 6 million new cars will be equipped with lidar every year.


The market size of LiDAR in the field of advanced assisted driving will maintain rapid growth in the next five years. According to Sullivan's forecast, the lidar market size is expected to reach US$4.61 billion in 2025, with a compound growth rate of 83.7% from 2019 to 2025.


Ningbo Sunny Automotive Optech Co., Ltd. is affiliated to Sunny Optical Technology (Group) Co., Ltd., with 30 years of optical experience, and is committed to becoming a leading optical solution provider in the LiDAR field, empowering LiDAR customers. Welcome to consult.



Related Products
What's New in Sunny Automotive Optech
Exhibition Invitation: Sunny Automotive Optech Welcomes You to the Changchun International Optoelectronic Expo 2024!

Exhibition Invitation: Sunny Automotive Optech Welcomes You to the Changchun International Optoelectronic Expo 2024!

2024-07-03

Sunny Automotive Optech Won ‘FORVIA Best Supplier Award’

Sunny Automotive Optech Won ‘FORVIA Best Supplier Award’

2024-04-28

New Trend in Intelligent Driving: ADAS Hybrid Lens

New Trend in Intelligent Driving: ADAS Hybrid Lens

2024-02-02

Inquiry

Your Name*:
Email*:
Phone:
Country:
Company*:
Company Type*:
Company Website:
Content*:

Excellent Customer Service Ability

  • Key customer manager mechanism

  • Oversea supporting points

Excellent Process Control Ability

  • Fully automated production

  • DMC traceability management

  • VDA6.3 / IATF16949 verifications

Excellent R&D Ability

  • Advanced technology new product development cooperation

  • Cost-effective optical solution proposal based on customer needs

  • Ecosystem resource integration