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Wistron R&D Achievements: Smart Transportation Solution 

A high-precision map system with high-precision 3D maps is the key to the safe operation of self-driving cars.

Wistron accelerates AIoT deployment for smart roadside solution 

The frequent interference of GPS signals is the biggest challenge in the precision positioning of smart transportation. Therefore, a high-precision map system with high-precision 3D maps is the key to the safe operation of self-driving cars. When undertaking the “high-precision map” and self-driving car cloud systems integration R&D and construction project from the Ministry of the Interior, besides integrating hardware (in-car equipment) and software (communication technology and AIoT) deployed for years, Wistron has teamed up with professional manufacturers. Based on the achievements so far, AI automatic recognition of high-precision maps has been completed to enhance precision at the centimeter level for the reference of AI route planning. 

Wistron has established smart solution and cloud service teams for smart transportation, 5G application, and smart manufacturing. The “5G+e-AI Smart Road Junction Solution” integrates the cellular Vehicle-to-Everything (C-V2X) equipment of Wistron NeWeb Corp., 5G communication technology, and the edge computing server of Wiwynn has been demonstrated on the self-driving bus in Suinan, Taichung. 

Wistron has further developed the “Smart Roadside Solution” to develop roadside and car-side auxiliary detection equipment to fully detect the blind spots on the route and foreign objects on the road. By integrating with the road junction smart monitoring equipment, traffic signs, and route analysis, the solution enables administrators to capture the real-time status of self-driving cars to enhance operational safety and lower the driving risk of self-driving cars. 

Wistron Smart In-car Software into the World 

The Internet of Vehicles (IoV) is also called the Vehicle-to-Everything (V2X). It refers to the communication technology that connects cars, traffic signs to cars, road users to cars, and others, such as the road junction collision warning, car-to-car communication brake warning, traffic sign switch warning, and vehicle-to-pedestrian communication warning. In addition to the rich V2X R&D experience, Wistron has also collaborated with the government in recent years to implement the road tests of various technologies on different types of vehicles in Tainan, Taichung, Hsinchu, Taoyuan, and New Taipei City. 

Wistron’s Japan Automotive Office has also joined ITS Japan for technology exchange on various new transportation service models. At an experience exchange with ITS Japan in September 2021, Japan Automotive Office shared the achievements in the V2X projects collaborated with the government to equip the R&D team with innovation knowhow through international exchange to significantly enhance technical capacity. In the future, Wistron will continuously engage in the R&D and application of smart carts to build the global automotive supply chain to cultivate the alternative fuel vehicle market.  

In addition to professional academic exchange, Wistron has also made brilliant achievements in commercial application. In October 2021, the In-Car Product Business and its subsidiary NIO Inc. in Kunshan, China, demonstrated for the first time Wistron’s international-standard smart V2X software at the “2021 C-V2X Four-X (Shanghai-Jiangsu-Wuxi) Pilot Application and Practice” organized by the Society of Automotive Engineers of China to showcase Wistron’s R&D power from ODM toward hardware-software integration. 

Wistron team at Auto Shanghai

Accelerating Software Development Through Industry-Academia Collaboration 

Wistron makes excellent performance in developing smart transportation software. To develop key AI technology talents and accelerate the development of smart transportation service capacity development, Wistron introduces the startup seed round incubation model to the industry-academia collaboration with National Chiao Tung University (NCTU) for further development both technology and talents. The “Wistron-NCTU Embedded AI R&D Center” collaborated with the College of Electrical and Computer Engineering was the first example of startup incubation collaboration. 

The team of Professor Jiun-In Guo of the College of Electrical and Computer Engineering completed the world’s first AI automatic marking and AI behavior analysis and prediction system. Its application in smart transportation is expectant.  Through the “Wistron-NCTU Embedded AI R&D Center”, the team not only successfully transformed into a potential startup seed company, but also directly combined the R&D technology with Wistron’s smart transportation project and 5G V2X to deepen the research of smart transportation and bring a new future to smart life in terms of medicine, manufacturing, and education. 

Illustration of education, training, and talent cultivation. 

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