MUST and NVIDIA Host a Workshop on Autonomous Driving Technology

2025/08/29

On the afternoon of August 27, 2025, the Faculty of Innovation Engineering - School of Computer Science and Engineering, Macau University of Science and Technology (MUST) invited Mr. Cliff Ho, Senior Scientist at the NVIDIA AI Technology Center, to conduct a workshop titled “Accelerating Innovation with NVIDIA Omniverse, DRIVE Sim, and NVIDIA DRIVE.” During the workshop, Mr. Cliff Ho provided an in-depth analysis of the critical roles of three core technologies in advancing real-time simulation, digital twin construction, and AI-powered autonomous driving systems. The workshop provided a high-quality platform for MUST students and professors as well as researchers in the field of autonomous driving, allowing them to closely engage with cutting-edge industry technologies and leading experts.

Guest Speaker

The workshop focused mainly on NVIDIA’s high-fidelity simulation platform, DRIVE Sim. This platform is designed for the safe and scalable validation of autonomous vehicles by replicating real-world conditions, including rare and challenging scenarios, within a controlled virtual setting.

Attendees gained insight into the comprehensive NVIDIA DRIVE platform, encompassing both hardware and software to support the development of intelligent vehicles. From real-time sensor data processing and perception to robust training and validation workflows spanning the data center and vehicle deployment, NVIDIA DRIVE supports various domains, from advanced driver assistance systems to full self-driving technologies.

The workshop not only allowed participants to grasp the cutting-edge technical pathways and industry trends in autonomous driving but also facilitated a bridge for technical exchange between academia and industry. Through technical analyses and case studies, attendees gained a clear understanding of how the integrated application of Omniverse, DRIVE Sim, and NVIDIA DRIVE accelerates simulation efficiency, digital twin development iterations, and autonomous driving system optimization. This also provided new perspectives for innovative breakthroughs in fields such as intelligent transportation.

Group photo of guests