Enhanced Receiver for Autonomous Mobility | Kudan global https://www.kudan.io Kudan has been providing proprietary Artificial Perception technologies based on SLAM to enable use cases with significant market potential and impact on our lives such as autonomous driving, robotics, AR/VR and smart cities Mon, 07 Aug 2023 01:14:38 +0000 en-US hourly 1 https://wordpress.org/?v=5.8.13 https://i0.wp.com/www.kudan.io/wp-content/uploads/2020/05/cropped-NoImage.png?fit=32%2C32&ssl=1 Enhanced Receiver for Autonomous Mobility | Kudan global https://www.kudan.io 32 32 179852210 Artisense participates in “ERASMO” project (Enhanced Receiver for Autonomous Mobility), a multiple-year funded autonomous driving research project together with other EU companies including Renault https://www.kudan.io/blog/erasmo-project-autonomous-driving-research-project-with-renault/?utm_source=rss&utm_medium=rss&utm_campaign=erasmo-project-autonomous-driving-research-project-with-renault Mon, 04 Oct 2021 07:30:32 +0000 https://www.kudan.io/?p=883 Kudan Inc. (headquarters in Shibuya-ku; CEO Daiu Ko; hereafter “Kudan”), an artificial perception research and development company, announced today that Artisense GmbH (Kudan’s group company, hereafter “Artisense”）has participated in “ERASMO* (Enhanced Receiver for Autonomous Mobility)”, a project funded by EUSPA (European Union Agency for the Space Programme). *A brief overview can be found on LinkedIn. […]

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]]> Kudan Inc. (headquarters in Shibuya-ku; CEO Daiu Ko; hereafter “Kudan”), an artificial perception research and development company, announced today that Artisense GmbH (Kudan’s group company, hereafter “Artisense”）has participated in “ERASMO* (Enhanced Receiver for Autonomous Mobility)”, a project funded by EUSPA (European Union Agency for the Space Programme).
*A brief overview can be found on LinkedIn.

This funded project aims at developing an on-board positioning device enabling fully autonomous driving. This project is being carried out by a consortium comprising of Renault, IDNEO, GMV-ITS, GMV-AD, VVA, Septentrio, CNRS-UTC.

Artisense plays a critical role in the project by contributing visual-based positioning and sensor fusion technology to augment GNSS data when its performance deteriorates in certain environments, such as urban canyons, tunnels, and roofed areas.

This multi-phased project is planned to be completed in May 2023 and will involve the development and optimization of Artisense’s technology to provide the information required by the high integrity navigation and the SW management modules. More details and progress of the project will be shared as the development work advances.

About Artisense Corporation
Artisense is a computer vision and sensor fusion software company that develops an integrated positioning platform using cameras as lead sensors for the automation of robots, vehicles, and spatial intelligence applications. On a mission to accelerate the adoption of autonomous robots and machines, Artisense provides products and technology for highly accurate, robust, safe, and low-cost navigation in any space.
For more information, please refer to Artisense’s website at http://www.artisense.ai/.

About Kudan Inc.
Kudan (Tokyo Stock Exchange securities code: 4425) is a Deep Tech research and development company specializing in algorithms to enable artificial perception (AP). As a complement to artificial intelligence (AI), AP functions allow machines to develop autonomy. Currently, Kudan is using its high-level technical innovation to explore business areas based on its milestone models established for Deep Tech, which provide a wide-ranging impact on several major industrial fields. For more information, please refer to Kudan’s website at https://www.kudan.io/.

■Company Details
Name: Kudan Inc.
Securities Code: 4425
Representative: CEO Daiu Ko

The post Artisense participates in “ERASMO” project (Enhanced Receiver for Autonomous Mobility), a multiple-year funded autonomous driving research project together with other EU companies including Renault first appeared on Kudan global.

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