WiMi Hologram Cloud Inc (WIMI)

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How does WiMi Holographic Lidar products stand out when the self-driving car industry breaks out?

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https://finance.sina.com.cn/stock/stockzmt/2021-04-23/doc-ikmyaawc1384703.shtml

Electric Eel Newsletter, April 23, 2021 02:48

"Equipped with advanced sensors" has become an important label for smart cars. Sensors are the hardware basis for the car to perceive the surrounding environment, and are essential in all stages of automatic driving.

Intuitively speaking, intelligent driving is to analogize human driving, using technology and equipment to assist or even replace driving. Use sensors such as cameras, radars, etc. to perceive the driving environment; use algorithm chips to implement driving decisions, and gradually let artificial intelligence replace the driver's decision-making function; use the control execution system to control the driving of the car, and finally the driver's eyes, hands, feet, and mind Completely liberated from driving.

A smart car is a comprehensive system that integrates environmental perception, planning and decision-making, and multi-level assisted driving. It uses computers, modern sensing, information fusion, communications, artificial intelligence, and automatic control technologies. Primary smart cars mainly use advanced driver assistance systems (ADAS), which is a collection of a series of driver assistance systems for the purpose of improving driving safety and comfort. Driverless cars also belong to the category of smart cars, which can perceive road conditions through smart sensor systems, rely on computer systems to make autonomous planning decisions, and complete predetermined driving goals.

As one of the important sensor technologies, Lidar has broken the original situation that it was only used in the military field, but it has been developed rapidly in the civil and commercial fields. In recent years, it has shined in the field of autonomous driving.

For the selection of autonomous driving sensors, there are two major technical schools in the market: one is dominated by cameras, combined with low-cost components such as millimeter wave radars to form a pure visual computing solution; the other is dominated by lidar, combined with cameras and millimeters. Wave radar and other components form the "Lidar Autopilot Program".

The representative of the former technology genre is Tesla, and the typical representative of the latter is Google Waymo. "Whoever relies on lidar will be finished." Tesla CEO Musk once criticized lidar-based autonomous driving solutions.

If car companies follow the research and development direction of Tesla's visual perception, it will be difficult to form effective competitiveness in the short term. The research and development of visual perception requires the collection of massive driving data and a large number of simulation experiments, the establishment of a visual semantic database, and the recognition of various objects after machine learning. Due to the peculiarities of China's road conditions, Tesla's autonomous driving has also appeared "unacceptable". However, with the passage of time, the choices of car companies almost all stand on the opposite side of Musk.

Autonomous driving spawns hundreds of billions of new blue oceans in lidar.
Lidar consists of three parts:
- A launch system,
- A receiving system, and
- A Information processing.

Its working principle is to send a detection signal (laser beam) to target detection, and then compare the signal (target echo) emitted by the target with the transmitted signal, and make appropriate After processing, the relevant information of the target can be obtained, such as the target distance, azimuth, height, speed, posture, and even shape parameters, so as to detect, track and recognize the target.

As early as the 1960s, Lidar was mainly used in scientific research and surveying and mapping projects, and only began to be used in autonomous vehicle projects after the 2000s. At present, lidar has gradually been used in unmanned driving, advanced assisted driving and robots.

With the increasingly urgent requirements of high-level autonomous driving for sensing technology, and lidar can significantly promote the landing of L3+ autonomous driving, lidar has gradually become the darling of autonomous driving.

The intelligent driving market has broad prospects. According to data from the China Business Industry Research Institute, the market size of my country's smart driving industry reached 122.6 billion yuan in 2019, and it is expected that the market size will continue to maintain an annual growth rate of more than 30%.

In November 2020, Professor Li, the chief scientist of China National Automobile Zhilian, released the ``Intelligent Connected Vehicle Technology Roadmap 2.0'', and put forward the development goal of China's intelligent connected automobile industry:
By 2025, the sales of L2 and L3 new cars accounted for 50%, C -V2X reaches 50%; in 2030, L2 and L3 new car sales account for 70%, L4 reaches 20%, C-V2X is basically popular, and large-scale applications of intelligent driving will be realized around 2025. This will further stimulate the market vitality of automotive lidar.

Lidar is the key to the realization of unmanned driving technology.According to Sullivan’s statistics and predictions, it is driven by the expansion of the unmanned fleet, the increase in the penetration rate of lidar in advanced assisted driving, the demand for service robots and the construction of intelligent transportation. , The lidar market is expected to show a rapid development trend. In 2025, the global market size is 13.54 billion U.S. dollars, and the compound growth rate is expected to be 64.5% from 2019 to 2025.

From the perspective of the composition of the global lidar market, the Internet of Vehicles is the main application market for lidar in 2019, accounting for about 60%. Sullivan predicts that by 2025, Robotaxi/Robotruck, ADAS, and the Internet of Vehicles will have nearly three-thirds of the lidar market, accounting for 26%, 34%, and 35% respectively. The main reason is the continuous expansion of Robotaxi/Robotruck market, the continuous application of laser driving in the field of ADAS and the rising demand for intelligent transportation.

Lidar and autonomous driving are in perfect harmony, and autonomous driving is also giving birth to a new blue ocean of lidar.
Perception fusion and algorithm planning are the soul of intelligent driving and determine the degree of intelligence of the system. Perception fusion is divided into pre-fusion and post-fusion. Pre-fusion refers to the fusion of non-homogeneous data such as cameras and radars and then transmits it to the decision-making layer. Post-fusion refers to the comprehensive analysis after the detection and perception results are handed over to the decision-making layer. The decision-making layer makes decisions and path planning through algorithms. The bottom-level control part mainly refers to the actuator, which involves more traditional automobile technology.

As a holographic AR company listed on the Nasdaq, WiMi Hologram has been listed in April 2020 and has received a cumulative investment of US$170 million from well-known institutions such as Weibo, and has sufficient capital to realize the expansion of the holographic AR industry and build a strong Competitive advantage. WiMi.US utilizes its powerful technical capabilities and infrastructure to provide excellent products and services. WiMi Hologram has won the bid for China Mobile and the second phase of the holographic remote interaction of the media cloud platform, and is redefining China Mobile's communication method through "5G + holographic remote". Recently, with the rapid development of the electronic automobile industry, WiMi Hologram's in-vehicle solutions have also reached a cooperation with Toyota's electronic company to meet the needs of automotive holographic applications. WiMi Hologram's core business is holographic AR technology for software engineering, media manufacturing services, cloud and big data.

WiMi Hologram seems to be catching up closely in the field of lidar. Since the announcement of the patent for the 3D holographic pulse laser processing device for optical holography, many industry application customers have shown strong market demand, so WiMi Hologram decided Develop 3D holographic pulse laser radar product "WiMi HoloPulse LiDAR" to further expand the company's holographic product portfolio matrix.

It is understood that WiMi Hologram has core intellectual property rights and is not restricted by overseas companies. WiMi Hologram has approximately 4654 AR holographic contents, 106 software copyrights and 180 registered patents. WiMi Hologram is committed to using holographic technology to meet the entertainment and business needs of customers and end users.

Public information shows that WiMi focuses on holographic cloud services, mainly in vehicle AR holographic HUD, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and other professional fields. Covers multiple links from holographic AR technology, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies. Holographic cloud comprehensive technical solution provider.

Due to the explosion of demand for automotive holographic applications, WiMi Hologram will develop solutions such as holographic vehicle equipment, holographic vehicle chips and holographic vehicle software to meet the needs of automotive holographic applications. WiMi Hologram is committed to in-vehicle holographic software and hardware integration solutions, and will develop more holographic AR patents and products suitable for the automotive industry to establish more customer relationships.

With the increase in the level of autonomous driving and market penetration, the lidar technology will become more mature and its cost price will also be reduced. The penetration rate of lidar in mass-produced vehicles will continue to increase. In the second half of the lidar competition, AI vision companies such as WiMi Hologram have made sufficient preparations.

"Electric Eel Express"