Mindtronic uses machine learning technology to create a personalized driving experience

TAIPEI, November 8, 2022 /PRNewswire/– This article is based on an interview conducted by FusionMedium’s online technology media, TechOrange, and published with permission:

Make cars more than just a “four-wheeled phone”! Mike Huang, CTO of Mindtronic AI, creates a personalized driving experience with machine learning technology. (PRNewsfoto/Fusionmedium)

Make cars more than just a “four-wheeled phone”!

Make cars more than just a “four-wheeled phone”! mike huang, CTO of Mindtronic AI, creates a personalized driving experience through machine learning technology. (PRNewsfoto/Fusionmedium)

According to data from the Taiwan Institute of Economic Research, driven by market demand and government policies implemented at all levels around the world for the electric vehicle (EV) sector, global EV shipments in 2021 exceeded 5 million units, while the penetration rate is expected to reach 20% by 2025. According to Boston Consulting Group, the value of the global autonomous vehicle market is expected to increase to reach 42 billion US dollars by 2025, with Tier 1 and Tier 2 vehicles that incorporate self-driving and intelligent technologies on track to account for approximately 10% of the overall vehicle market.

The smart vehicle market scale continues to multiply, making electric and autonomous vehicles an irreversible trend. An intelligent vehicle system includes, in addition to ADAS and autonomous driving systems that assist driving judgment and improve safety, an intelligent cockpit consisting of an intelligent console, dashboards and in-car entertainment systems. With Taiwan at the forefront of the emergence and development of the ICT and semiconductor industries over the past decades, the island’s suppliers are well positioned to overcome existing barriers and create greater market opportunities as multinationals rebuild the electric vehicle supply chain.

The automotive transformation has led to the rise in importance of software-defined hardware. For example, the ADAS, autonomous driving, and smart cockpit systems that are being developed by major automakers all show that drivers prioritize software features and user experience over hardware. Under this premise, in addition to the dominant position of Taiwan semiconductor and ICT industries, what are the strengths of the island’s start-ups in terms of software and hardware integration and software development?

Do Taiwan have the advantage of creating autonomous cars? Three conditions are essential!

During the last years, Taiwan has aggressively consolidated semiconductor design, manufacturing, packaging, testing, software and ICT systems businesses to vertically integrate upstream and downstream industrial chains, as well as connect to international leaders in cloud, electronics design automation software leaders and potential start-ups, to form cross-domain alliances that fuel Taiwan the automotive industry with advantages in the next wave of intelligent revolution.

In view of the progress made by Taiwan automakers against overseas rivals in advanced driver assistance systems (ADAS) and self-driving systems, Mindtronic AI Co. Ltd, which has already won CES New Innovation three times Award for its smart cockpit solutions, is a start-up in the island’s smart car sector with growth potential on the international stage.

While analyzing the development prospects and trends of the global autonomous driving technology market, mike huangMindtronic’s Chief Technology Officer, believes that there are three key conditions that must be fully met for Taiwan become a stand-alone technology powerhouse. These are marketing, financing and marketability. To create an environment conducive to the development of self-driving cars, three things must be done. First, as self-driving car R&D often requires tens of billions of dollars of investment, it is necessary to have a sufficient number of investors and the associated funds in place. Second, since countries have their different development policies and standards for self-driving cars at different stages, from R&D to launch, it is not possible to “develop a model at location A and test it at place B”. It is necessary to have sufficient support from the internal market. Third, to truly achieve a Software Defined Vehicle (SDV), it is necessary to have sufficient market support. Finally, to truly enable SDV requires a comprehensive software development environment.

Huang believes that Taiwan The advantage in the age of self-driving cars is talent. Despite the challenges, Taiwan small but strong industrial environment is well positioned to provide highly concentrated resources to IP start-ups. “Imagine that Taiwan is such a small island with so many talents spread across electrical, information, mechanical, aerospace, and engineering sectors. With the majority of graduates gathered in this small place, the clustering effect is quite large.” Having such a concentration of good talent is a unique condition for the development of start-ups.

What is the value of tomorrow’s car? mike huang: A personalized driving experience is key!

What is the most critical element for developing self-driving technologies? The most important question to ask when thinking about the nature of smart cars and self-driving cars is “Why does a person need to buy a self-driving car?” and “What do consumers really want?”

The popularity of mobile phones has brought people new ways to access information, better user interfaces, and more humanized human-computer interfaces and experiences. If we want to provide the same consumer experience in the mobility services industry, it is more important to think about how to provide an experience beyond mobile phones to users. “What is needed here is not one modular function after another, but how to provide a central idea with the ultimate goal of ‘customization’.”

For example, the 3D AR HUD (Head-Up Display with Stereoscopic Augmented Reality) technology developed by Mindtronic can project navigation routes directly onto the road rather than onto the windshield. AR technology superimposes virtual objects on the real road to create an integrated virtual reality experience and an innovative driving experience.

What is a “personalized” user experience? Huang points out that it’s not difficult to re-use the voice assistant in the car, but it’s not as easy as setting up a password or asking the assistant to perform an action. The role of AI in a truly personalized experience is to filter data and categorize messages that users may not even have discovered. The AI ​​learns the driver’s user behaviors and makes choices for them to truly personalize the cockpit and the experience that cockpit delivers.

A good user experience comes from having the AI ​​configure exactly what the driver wants. In the cockpit environment, these may include driver condition, seat positioning, weather, field of vision on the road, the look on the driver’s face when reacting and the focus of the driver’s eyes. With such multiple and complex relationships, there is no way to collect so much user information at once and create a custom model that applies to everyone.

AI creates an intelligent driving experience and knowledge-intensive products show the value of software

The value of Mindtronic. “The hardest part of human-robot collaboration (HRC) is that every user is different. To solve this dilemma, it is necessary to deploy self-learning technology, to allow the machine at the edge to learn on its own as it works with the user.” Creating a driving experience that best suits the driver can also be done by sensing the driver’s eyes and, with the accumulation of data over time, learning what interests the driver. Mindtronic is currently developing a tourist guide robot that will automatically describe the characteristics of a place of interest when the car’s AI determines that the driver is particularly interested in it, transforming the meaning and experience of the classic road trip.

This data and information has great commercial value. “When a consumer is not interested in a product but nevertheless receives a DM, it is advertising. In contrast, when a consumer is interested in a product and, following the identification of this interest, receives immediately a coupon is a service Huang believes that in the future, the intelligent cockpit of self-driving cars can interact with mobile phones or personal accounts to create a more comprehensive user experience.

“The value of the car of tomorrow lies not in the power of the vehicle or the specifications of the hardware components, but in whether the user feels a new and intelligent experience the moment they sit behind the wheel. “Huang pointed out. that smart cockpits are still in the integration phase. In the past, the dashboard, center console and head-up display were all separate and independent. In the future, when all cabin functionality including seating, audio, navigation, streaming, ADAS, gaming and internet access is controlled by a single hardware, the value AI will emerge.

Mindtronic is looking forward to forming an industry ecosystem with more well-known brands, leveraging the innovation capabilities of small enterprises and the abundant resources of large ones to complement each other. For Taiwanese start-ups, strategic alliances are the best way to develop the automotive industry chain. In addition, Mindtronic also actively connects to Taiwan The AI ​​ecosystem horizontally by joining the AI ​​on Chip Industrial Cooperation Strategic Alliance established by the Intelligent Electronics Industry Project Promotion Office (SIPO) of the Industrial Development Bureau of the Ministry of Economic Affairs. Through this alliance, Mindtronic will help connect partners up and down the industrial chain to create business opportunities and encourage more manufacturers on the island to invest in the on-chip AI sector, so as to to allow all of Taiwan The AI ​​industry to demonstrate its competitiveness in the global market.

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SOURCE Fusion medium

Sherry J. Basler