02-Network-level HD-Map Creation Using LiDAR and AI: Challenges and Opportunities
Date and Time: Tuesday, July 30, 2024: 5:00 PM - 6:30 PM
Location: Indigo BC
Suliman Gargoum
Cofounder and Advisor, Nektar 3D Consulting Inc.
Presentation Description
HD Maps are seen as by many experts as a component that is critical to achieving fully autonomous driving (SAE level 5). The poster provides an end-to-end illustration of how hundreds of kilometers of LiDAR scans were automatically converted into a simulation ready HD maps of Dubai in a highly efficient manner.
Supervised deep learning methods were first used to break down mobile LiDAR scans into features critical to autonomous vehicle navigation. Unsupervised machine learning techniques were then used to refine the linear features in the data before automatically generating the map components in a format compatible with open source autonomous vehicle simulation software.
Besides illustrating the full process, this work also presents some of the challenges, lessons learned, and the knowledge gained from such a unique experience of fully automated large-scale HD map production in one of the world’s busiest metropolitans.
Speaker Biography
Dr. Suliman Gargoum is a Cofounder and Technical Advisor at Nektar 3D Consulting Inc., an Assistant Professor at the University of British Columbia’s (UBC) School of Engineering, and the Founding Director of the Smart Analytics Lab for Modelling Advanced and Livable Infrastructure Systems (SALMALIS). Dr. Gargoum holds a PhD in Transportation Engineering. His work focuses on the use of Artificial Intelligence and smart sensing technology for advanced road safety analytics, creation of digital infrastructure for autonomous driving, and informed design and management of transportation infrastructure. Over the past five years, he has published over 40 peer-reviewed research papers in top tier transportation journals and conference proceedings and has received multiple best paper and best presentation awards. This includes multiple accolades from the Transportation Association of Canada (TAC), the US Transportation Research Board (TRB), Canada’s Institute of Transportation Engineer’s (CITE), and ITS Canada. Dr. Gargoum was recently named the 2023 TAC Young Professional of the Year and received the University of Alberta 2023 Alumni Innovation Award.
Presentation File
Network-level HD-Map Creation Using LiDAR and AI: Challenges and Opportunities
Category
Infrastructure Technology Supporting Road Vehicle Automation