佑驾创新出海再提速：将于中东部署1000台无人车，出海2.0再落关键子

Group 1 - The core viewpoint of the article is that Youjia Innovation (2431.HK) has signed a memorandum of understanding with Eda Capital to expand its L4 autonomous driving business into the Middle East, specifically focusing on Saudi Arabia's logistics and transportation needs driven by the Vision 2030 initiative [2][3]. - The collaboration aims to explore the large-scale deployment of L4 autonomous vehicles in the Middle East, with a target of deploying up to 1,000 unmanned vehicles by 2030 [2][3]. - Youjia Innovation will leverage its self-developed L4 autonomous driving technology to provide the Xiaozhu unmanned vehicle and a complete set of technical solutions tailored for the Saudi market [3][5]. Group 2 - The Xiaozhu unmanned vehicle will be optimized for Saudi Arabia's extreme high temperatures and sandstorm conditions to ensure stable operation in diverse environmental scenarios [4]. - Eda Capital, as the first institution focusing on cross-border investment between Saudi Arabia and China, will utilize its local resources and insights to facilitate the deployment of unmanned vehicle solutions [4][5]. - The partnership is seen as a significant breakthrough in introducing advanced intelligent driving technology to the Middle East logistics sector, marking an important milestone in Youjia Innovation's international expansion [4][5]. Group 3 - Prior to this collaboration, Youjia Innovation had already exported its intelligent driving and cockpit products to various regions, including the EU, Australia, Mexico, Singapore, South Korea, Dubai, and Turkey, establishing a solid foundation for global compliance operations [4][5]. - Youjia Innovation is advancing its "Going Global 2.0" strategy, transitioning from a product export model to a localized and scalable commercial operation model in overseas markets [5]. - The signing of the memorandum signifies a deep integration of Youjia Innovation's full-stack technical capabilities in L4 autonomous driving with Eda Capital's cross-border resource integration and local operational experience [5].