Open Intelligent Electric Vehicle Research Center Hosts Autonomous Driving Seminar
On January 17, 2024, the Open Intelligent Electric Vehicle Research Centre (OIEV-RC), hosted by the Faculty of Innovative Engineering - the School of Computer Science and Engineering, held an in-depth seminar on the current state of the art and future development of autonomous driving.
Dr. Zhang Yang ’s lecture
The seminar had the honor to have invited Dr. Zhang Yang, CEO of AutoCore Intelligent Technology (Nanjing) Co., Ltd., to deliver a keynote speech titled "State of the Play - Autonomous Driving in the Era of Generative AI", which focused on the applications and future possibilities of generative artificial intelligence in the field of autonomous driving. Dr. Zhang, who obtained his PhD from the University of Sheffield in the UK, is a highly influential figure spanning academia and several industrial sectors. He was the co-founder and board member of Autoware Foundation, the largest open-source organization in the autonomous driving field, founder of the 96Boards organization (the only SoC independent platform standard organization), chief scientist of the AI Institute of the Chinese Academy of Sciences, and creator of the Google AOSP reference platform and multi-objective genetic programming.
Intelligent electric vehicle demonstration
Meanwhile, faculty and students from the School of Computer Science and Engineering shared their research progress and achievements in the field of autonomous driving, such as human-vehicle trajectory prediction, open-world object detection, BEV perception in autonomous driving, software testing in autonomous driving systems, knowledge-collaborative reinforcement learning for autonomous driving, strategy learning based on behavior prediction, and the development and application of large models in autonomous driving.
Brief introduction to system configuration
Responding to the demands of the era, the Open Intelligent Electric Vehicle Research Center, with the help of AutoCore, has successfully developed and deployed an electric vehicle with L4 autonomous driving capabilities since its establishment. The center has published more than 10 research papers on autonomous driving, including multimodal data fusion-based motion estimation, multi-view 3D object reconstruction, WiFi-based localization and navigation, a new perspective on solving sparse reward problem in multi-agent reinforcement learning, robot subgoal-guided navigation in dynamic crowded environments with hierarchical deep reinforcement learning, vehicle and crowd counting in crowded scenes, and object detection under rainy and foggy conditions.
Facing the burgeoning growth of autonomous driving technologies, the Open Intelligent Electric Vehicle Research Center is open to attract resources of all kinds, in its pursuit to become a world-class research center integrating scientific research and industry practice and development.
Dr. Zhang Yang takes a group photo with Dean Zhang Du of the School of Computer Science and Engineering and others
