The unparalleled value of human-vehicle interaction

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SHANGHAI, July 9, 2021 / PRNewswire / – Given the evolving landscape of the global automotive industry, Cango Inc. (NYSE: CANG) (“Cango” or the “Company”) publishes an industry insight called “CANGO Auto View” every two months to help bring readers closer to readers , Drivers and passengers up to date on what the automotive market has to offer, what trends are emerging and what holes need to be filled.

Below is an article from the company’s 3rd edition for February 2021.

In addition to mobility, investors have another – even more technology-driven – market in mind: the on-board system and human-vehicle interaction. In contrast to the PC era and the mobile era, human-vehicle interaction in the automotive context leads to disruptive changes. The reason for the difference between intelligent vehicle operation and immersion operation of a mobile system is that when using the on-board system while driving, 95% of the user’s focus is on driving behavior and only about 5% of his energy and time on controlling of the on-board system are spared. Different scenarios will lead to dramatic changes in the information carrier – from text to language, movement and other forms.

Statistics show that a user’s view and attention cannot be focused on the on-board system for more than three seconds. If the user fails the operation within those three seconds or retries the operation until the task is completed, the behavior is considered very dangerous and the cost of trial and error is high. This therefore requires that the functional logic and the information layout of the on-board system are optimally represented in the shortest possible time. Specifically, it is achieved that the design of the human-vehicle interaction is closely aligned to user needs and interactive rules of behavior in real scenarios in order to ensure extremely efficient information transfer.

In the future, many physical buttons will be replaced by other input methods, particularly Tough and Voice methods. Touch control will improve accuracy, effective feedback mechanisms will be developed, and the use of gesture control will be expanded in medium to upper models. Meanwhile, because of its convenience and humanization, voice control is becoming the main interactive method with the advancement of AI technology. And biometric technologies are being applied and further developed in areas such as drowsiness monitoring and eyeball tracking.

Take the language system, for example. At present, human-vehicle interaction is achieved through two types of technologies: a speech recognition system and a natural language processing system.

A voice recognition system is mainly used to recognize, distinguish, and check each speaker’s voice, and the representative company is Baidu. With an accuracy of 98%, the system has reached a near-mature stage and enables language interaction that can support different languages ​​and dialects.

On the other hand, a natural language processing system automatically understands human languages ​​and approximates human ways of thinking. The representative company is iFLYTEK with an accuracy rate of 70% and room for breakthroughs.

As for the face and gesture recognition system for vehicle owners, it mainly uses computer visual technology to extract facial and graphic information from images. The representative company is SenseTime with an accuracy rate of 99% and the ability to deliver near-mature products.

Internet technology giants like BAT and Huawei are the main providers of the above applications, while iFLYTEK, SenseTime, AISpeech and Yitu are active players in the AI ​​application space, each with their own strengths. iFLYTEK went public more than a decade ago, while SenseTime, Yitu, and AISpeech are getting infinitely closer to going public.

Infotainment on board

The intelligent devices and software services “hidden” in intelligent vehicles have attracted serious investment in recent years. Currently, the most obvious consumer-related functions that intelligent vehicles can do cover five main areas: navigation and location, multimedia, vehicle services, consumption and payment, and communication and social networks.

Navigation and positioning currently mainly includes synchronous precise positioning, real-time road condition, best route, 3D route guidance, 3D navigation and precise map navigation.

The second area is multimedia. Currently, it mainly includes radio, audio playback, video playback, mobile TV, electronic photo album, life information retrieval, and games.

The third area is vehicle services. At present, it mainly includes surveillance and theft protection, on-call service, breakdown assistance, remote diagnosis, assisted driving, vehicle insurance, and seat and air conditioning control.

The fourth area is consumption and payment. Currently, it mainly includes smart fueling, paying in the car, multiple payment platforms, shopping and consuming, buying cinema tickets, takeaway food and plane tickets.

At present, companies are still emerging in this area at platform level. With license payment and other factors in mind, these types of services should primarily be provided by the emerging auto makers and mobile payment giants.

And the fifth area is multimedia. Currently, it mainly includes bluetooth communication, cellular network, onboard SMS, email, onboard WeChat and mobile office.

The emerging automakers have taken the lead in this space by developing APPs capable of authenticating vehicle owners and providing platforms for contacts for both insiders and strangers. It remains to be seen whether the internet giants Tencent and child can take over the socializing in a car scenario by responding to different scenarios.

Onboard camera and radar

In addition to onboard software, intelligent vehicles are subject to an enormous change in hardware due to the widespread use of driverless technology, which has opened up a large number of investment opportunities.

In the case of an intelligent vehicle in driving mode, for example, its assessment logic is similar to that of a person walking. The eyes first recognize obstacles and paths, then the brain makes analyzes and decides whether to avoid the obstacles or drive straight ahead. The eyes of a smart vehicle mainly consist of cameras, LiDARs, high-precision maps and GPS tracking. And sensor devices like cameras and radars are primarily responsible for gathering information about the body of the vehicle and determining the vehicle’s location.

Currently, Tesla has a relatively thorough understanding of the sensor systems smart vehicles should be equipped with while the emerging automakers are in China have been in learning mode for a long time. Based on what Musk has said in public, no major changes will be made to Tesla’s onboard sensors in the future. Public information shows that Tesla vehicles come standard with eight cameras, one millimeter wave radar and twelve ultrasonic radars.

So far, the emerging automakers have been in China have largely adopted Tesla’s plan. However, information from the official channels of various platforms suggests that LiDAR will be used by several car brands in the future. Xpeng actually claimed that it will achieve self-driving through the fusion method of camera + millimeter wave radar + ultrasonic radar + LiDAR.

During the 2020 Guangzhou Auto Show Wang Jun, President of Huawei’s BU Smart Vehicle Solutions, said in a media interview that Huawei’s LiDAR has become a coveted product that has been bought by auto companies and that Huawei is considering releasing its full range of LiDAR products in the near future . At the same time, Huawei announced through public channels that it was conducting LiDAR studies in hopes of not only improving LiDAR accuracy but also bringing the price down to below $ 200.

In other words, improving the accuracy and reducing the cost of various radars will most likely create critical competitive barriers for the branding of emerging automakers.

Because of its unique industry characteristics, the sensor space has not sparked wide-ranging discussions in the venture capital space. The main reasons are as follows: For one, sensor manufacturers have limited growth capacity and the return on investment is not as high as that of the internet industry. Second, there are currently not many areas that require sensor applications. Third, R&D teams among OEMs have several advantages in terms of team, time, and capital.

Nonetheless, the advent of the age of intelligent manufacturing will encourage the use of sensors in intelligent vehicles and other areas, and their market potential is indeed huge.

About Cango Inc.

Cango Inc. (NYSE: CANG) is a leading automotive transaction services platform in China Connect dealers, financial institutions, car buyers and other industry participants. Founded in 2010 by a group of pioneers in China Automotive finance industry, the company is headquartered in Shanghai and integrates car buyers through a nationwide dealer network. The company’s services mainly consist of automobile financing facilitation, auto trade transactions and after-market services facilitation. By leveraging its competitive advantages in terms of technology, data insights and cloud-based infrastructure, Cango is able to connect its platform participants while providing them with a first-class user experience. Cango’s platform model puts it in a unique position to generate added value for its platform participants and business partners such as the automotive and mobility markets in China keep growing and developing. More information is available at: www.cangoonline.com.

Media contact:

Julia yes
Cango Inc.
Tel: +86 21 3183 5088 ext. 5581
E-mail: [email protected]
Twitter: https://twitter.com/Cango_Group

SOURCE Cango Inc.





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