Holographic Intersection Solution for V2X
About this offer
In the applications of Cellular Vehicle-to-Everything (C-V2X), the traffic object and traffic environment information obtained by the roadside sensing equipment is analyzed by the roadside edge computing equipment to generate various Infrastructure-to-Vehicle (I2V) messages which are sent by the Roadside Unit (RSU) to various road traffic participants (including networked vehicles and vulnerable road users) through wireless links to improve traffic safety and efficiency. C-V2X relies on the roadside sensing equipment (including cameras, lidars and mmWave radars, etc.) to collect the raw information of the traffic objects (including 2D video images and 3D point clouds, etc.), and then pass them to the roadside edge computing equipment for analysis (including object detection and object classification) and sensor fusion to generate the structured data representing the attributes of traffic objects (such as vehicle speed and heading, traffic event category and impact scope, etc.). These structured data are further processed into V2X messages, to be precise, the I2V messages. These I2V messages are sent to the road traffic participants including motor vehicles and pedestrians by the RSU via the PC5 air interface (sidelink) or the 5G/4G base station (gNB/eNB) via the Uu air interface (cellular link). In some deployments, the Intel® Xeon® 4th Gen and Flex 170 are utilized for MEC at roadside data center. The roadside infrastructure of the C-V2X is shown in Figure 2. It can be divided into Roadside Sensing (e.g., various types of traffic sensors including cameras, lidars and mmWave radars), roadside edge computing (e.g., roadside MEC) and roadside communications (e.g., RSU). Three cases have been deployed. - Hangzhou V2X project, phase I : 400 meters road intersection with multiple traffic participants profile and analytics result - Xiamen intelligent transportation operation : The total length of the construction section is about 6 kilometers, and a total of 7 holographic awareness intersections are deployed to achieve full coverage of 5G/C-V2X
Technical Specifications
- Category:
- Solution: Intel® IoT Market Ready Solutions
- Operating Systems:
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Linux* Red Hat Linux family*
Linux* Ubuntu family*
Linux* Ubuntu family* Ubuntu 18.04 LTS*
Microsoft Windows Client* Windows 10 family*
- End Customer Type:
-
Enterprise
- Deep Learning Framework:
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PaddlePaddle
Torch/PyTorch
TensorFlow
- AI Model Training:
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Machine Learning
- Solution Availability:
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Deployed
- ToolKit:
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Intel® Distribution of OpenVINO™ toolkit
- Software Library:
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Intel® Optimization for TensorFlow*
Intel® Optimization for PyTorch*
- Topology:
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MobileNet
Yolo
- Deployment Architecture:
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Amazon Web Services (AWS)
On-Premises
Private
Resources
Included Intel Technology
Intel® Xeon® Processors
Intel® Core™ Processors
Edge Software Hub (or Intel® Edge Software Hub)
THUNDERSOFT SOFTWARE TECHNOLOGY CO LTD
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THUNDERSOFT SOFTWARE TECHNOLOGY CO LTD
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ThunderSoft is a provider of operating system technologies, superior products and solutions, experts in mobile, IoT, automotive, and enterprise. Founded in 2008, through ThunderSoft’s expertise in edge intelligence and operating systems including Android, Linux, Windows and others, a profound middleware, application, and algorithm technology portfolio, strategic partnerships with key semiconductors, components, terminals, software and Internet vendors, and mobile carriers, give us a unique vertical integration advantage across industries. ThunderSoft is a value-added scaling partner, bringing our customers with innovative, reliable, and commercial-ready products and solutions for the fields of IoT and Intelligent connected vehicle. ThunderSoft has established joint ventures individually with Qualcomm, Arm and Intel. Meanwhile, the company operates joint laboratories with Qualcomm, Intel, Microsoft, Arm, Samsung, and Sony, among many others. The extensive collaboration with industries empowers ThunderSoft to accelerate the development of the smart industry.
Holographic Intersection Solution For V2x
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