Utilizing the extensive AI expertise in Asia

At our joint corporate laboratory with Nanyang Technological University, Singapore (NTU Singapore), a top global university (ranked #2 in Engineering, AI and Materials Science in the US News & World Report Subject Rankings 2025), we are harnessing AI to drive code development and boost efficiency in engineering and testing for the Software-defined Vehicle (SDV). AI is also used to develop innovative solutions to advance autonomous driving, enabling more robust human-machine interactions. Furthermore, the lab applies AI to fast-track and enhance research in the areas of Sustainability and Novel Materials, and Connectivity and Security.

Since July 2025, we have been working on 13 industry-focused projects under these research thrusts.

The corporate lab is now in its second phase, building on the success of the first phase (2019-2025), which was focused on developing advanced AI solutions in Smart Mobility and Delivery, AI and Software Engineering, and Smart Materials and Communication Technology.  

With our research, we aim to accelerate innovation in Singapore’s automotive industry and translate research outcomes into practical and viable solutions for the urban mobility of the future. The AUMOVIO-NTU Corporate Lab is supported by the Industry Alignment Fund–Industry Collaboration Projects (IAF-ICP) scheme.

Alongside our collaboration with NTU, our AI engineers in Singapore are focusing on three key areas:    

We are fortunate to have amazing partners in Singapore which we have been collaborating with on our AI development projects.

Young and research-intensive, NTU Singapore is renowned for interdisciplinary excellence across a broad range of subject areas, including computing, engineering, science, and technology. The university advances innovation and interdisciplinary research to tackle pressing global challenges in sustainability, healthcare, artificial intelligence and future mobility.  

AI Singapore is a national programme aimed to catalyze, synergize and boost Singapore’s AI capabilities to power its future digital economy.

TR 68 is part of Singapore’s national standards’ scheme and forms a guideline for the industry in the development and deployment of fully autonomous vehicles, intending to become a standard in the future.

Both Andreas Hartmannsgruber, Head of AOT INN AI Singapore, and Estelle Wang, Head of Product Cybersecurity & Privacy Office (PCSO) Singapore, are members in the working group working towards reliable standards for the future of mobility.

Among many outcomes, previous projects at the AUMOVIO-NTU Corporate Lab delivered solutions for Autonomous Driving and R&D Excellence.  

For example, the results from our project for AI-based software test management are employed by internal stakeholders, saving hundreds of hours of manual testing per project labor and supporting test managers in improving product quality. We improved our test management solutions by using advanced computer vision to efficiently and effectively check car instrument cluster displays. This ensures that the layout and user interface meet our customers’requirements.

Furthermore, our research on “Smart infrastructures for data-driven societies” resulted in improving many existing applications using AI-based perception, ranging from smart cameras over automated parking to autonomous driving.  

The following publications were released at a time when AUMOVIO was still operating under its former company name,  Continental Automotive. For this reason, the previous company name still appears in the publications. Please note that we have no influence over the company name used in already published materials.

At the AUMOVIO-NTU Corporate Lab, our AI experts and their teams closely cooperate with experts from the entire organization and their partners. For insights into the innovative work being done by our experts and researchers, head to our team overview here.