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Understanding The Opportunities for AI-Cameras and LiDARs for Smart Road Infrastructure A fter the Consumer Electronics Show (CES) sparked a new wave of autonomous vehicles (AVs) coming to the automotive market in the next few years, much focus as of late has been on the technology of these vehicles themselves. However, the technology embedded in road infrastructure is also beginning to see more conversation between service providers and municipalities. With advancements in artificial intelligence (AI) and 5G network connectivity, smart-road infrastructure technology offers the promise of being added to many different roads, bridges, and other transit systems across the U.S. in hopes of improving real-time traffic analytics and tackling the most challenging road safety and traffic management problems. One technology at the center of this discussion is on the present-day use
SUMMER 2022
of AI-enhanced cameras and tomorrow’s promise of LiDAR technology.
Artificial intelligence will enhance camera sensing performance
Today there are hundreds of thousands of traffic cameras deployed in the U.S. alone, and even millions more when CCTV cameras are considered. They are mainly used for road monitoring and basic traffic management applications (e.g., loop emulation). However, bringing the latest advancements of AI to these assets can immediately improve basic application performance and unlock more advanced software applications and use-cases. AI and Machine Learning deliver superior sensing performance over traditional computer vision techniques found in legacy cameras. They
BY DR. GEORGES AOUDE
TOTAL FINANCE
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