A digital twin map of a traffic intersection or a road section is a virtual representation of the physical intersection. It incorporates real-time data from various sensors, including cameras, LiDARs, and GPS systems. This digital twin map is a powerful tool for visualizing and analyzing the dynamic traffic environment in real-time. It enables traffic control authorities to enhance public safety by promptly issuing alerts to vehicles and road users, thereby preventing collisions, optimizing traffic flow, and mitigating congestion.
The implementation of real-time, high-precision localization, utilizing various combinations of cameras and LiDARs, paves the way for the swift transition of city intersections into intelligent, 'smart' intersections. Even a single camera can significantly enhance road safety. Furthermore, connectivity plays a pivotal role in expanding the coverage of sensor systems, effectively addressing challenges like occlusion, adverse weather conditions, and sensor resolution and sensitivity issues while encompassing broader areas.
AI-powered traffic sensors encompass cameras and LiDARs integrated with advanced artificial intelligence (AI) capabilities. They excel at processing and analyzing real-time visual data, facilitating precise localization and tracking of vehicles, pedestrians, and various objects within their vicinity. These smart traffic sensors play a vital role in delivering real-time traffic alerts to drivers, contributing to congestion reduction, and automating transportation safety measures.
Our technology attains the utmost level of comprehensive perception and precision localization for vehicles, utilizing a versatile combination of built-in vehicle sensors from ADAS vendors. Furthermore, it empowers existing vehicles with intelligent perception through our cooperative-AI methods, seamlessly integrating with infrastructure sensors.
Digital Twin Solutions for Multiple Applications
Accurate localization, facilitated by a network of interconnected traffic cameras and LiDARs, entails the utilization of AI-powered sensors that communicate within a computer vision system. These sensors work collectively to pinpoint the exact position of vehicles or pedestrians within a defined area by triangulating their coordinates based on the images captured by multiple cameras. This real-time capability enables continuous tracking and monitoring of the movements of individuals and vehicles within the camera network's coverage area. Precise localization using connected traffic cameras serves various purposes, including traffic management, enhancing public safety, and aiding in transportation planning.
Precise localization through connected AI-powered sensors offers a range of benefits for automated traffic safety, including::
In summary, the deployment of connected AI-powered sensors contributes to safer roads and highways, reducing accidents and fatalities while benefiting all road users.
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Connected AI Solutions