Fujitsu AI supports Toyota GAZOO Racing’s real-time driving analysis during World Endurance Championship
Tokyo, May 11, 2023
Fujitsu today revealed that it leveraged AI technology to support the development of TOYOTA GAZOO Racing’s (TGR) (1) new video analysis system, which debuted in competition at the 6 Hours of Spa-Francorchamps event, held from April 27 to 29 at Circuit de Spa-Francorchamps in Belgium.
Fujitsu started sponsorship of TGR, a participant in the FIA World Endurance Championship (WEC) (2), in 2022, supporting the development of TGR's video data analysis system that leverages Fujitsu’s AI technology. The newly developed system will allow TGR to adapt to continuously evolving racing conditions based on video data from vehicle-mounted cameras.
The system will also be applied to the 24 Hours of Le Mans to be held in France from June 7 to 11.
In the field of motorsports, Fujitsu aims to develop technologies that not only maximize performance to help teams win in some of the world’s toughest races, but also enrich the viewing experience for fans, boost audience engagement, and promote sustainable race management. Fujitsu will further utilize the technology and knowledge gained through this initiative to realize a safe and secure transportation society and smart cities.
Video analysis system to transform “Hypercar” racing
TGR, which competes in the “Hypercar” class, the top-tier category in the FIA WEC, has been increasingly focused on the use of data to maximize performance and win races, collecting real-time data from hundreds of sensors mounted on vehicles and using data delivered to the pits to adapt actual racing strategies. Until now, however, this data-driven approach still relied heavily on time-consuming data reviews and video analysis.
Fujitsu supported the development of TGR's video data analysis program leveraging its AI technology to analyze video data in real time, allowing race crews to rapidly evaluate and adapt racing strategies according to race conditions in which victory depends on split-second decisions and near-instant adaptation to new challenges.
Overview of the new video data analysis program
The new video data analysis program enables TGR to analyze video data of the in-vehicle camera in real time using AI and output data on the situation surrounding the vehicle.
Fujitsu further optimized the AI’s configuration parameters to ensure video analysis not only during daytime, but also at night and under bad weather conditions, enabling TGR to use the program during endurance races such as the FIA WEC for real-time race strategies.
- TOYOTA GAZOO Racing :
Motorsport division of the Japanese car manufacturer Toyota
- FIA World Endurance Championship :
International sportscar championship operated by the Federation Internationale de l'Automobile (FIA) and the Federation of Western Automobiles (ACO) of France
Fujitsu’s Commitment to the Sustainable Development Goals (SDGs)
The Sustainable Development Goals (SDGs) adopted by the United Nations in 2015 represent a set of common goals to be achieved worldwide by 2030.
Fujitsu’s purpose — “to make the world more sustainable by building trust in society through innovation” — is a promise to contribute to the vision of a better future empowered by the SDGs.
Fujitsu’s purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers in over 100 countries, our 124,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: Computing, Networks, AI, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.7 trillion yen (US$28 billion) for the fiscal year ended March 31, 2023 and remains the top digital services company in Japan by market share. Find out more: www.fujitsu.com.
Public and Investor Relations Division
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Date: 11 May, 2023
City: Tokyo, Japan
Company: Fujitsu Limited