Table of Content

1 National Guiding Policies and Path Planning
1.1 Intelligent Roadside Perception Policy
1.1.1 National Strategic Guiding Policies for Intelligent Highway
1.1.2 Level of Intelligent Technology for Intelligent Highway
1.1.3 Correspondence of Level between Intelligent Highway Technology and Autonomous Driving
1.1.4 Evaluation Contents and Standards of Intelligent Highway Pilot Projects
1.1.5 Standards for Intelligent Highway Infrastructure Projects Get Improved Gradually
1.1.6 Building of Intelligent Roadside Standard System
1.2 Development Plan for Intelligent Roadside Perception
1.2.1 Vehicle-infrastructure Cooperation Promotes Intelligent Transportation
1.2.2 Development Plan for Intelligent Highway
1.2.3 Construction of 5G Intelligent Highway
1.2.4 Requirements on Deployment of Intelligent Roadside Facilities in Intelligent Highway Pilot Projects
1.2.5 Path Planning of Industrialization of Intelligent Roadside Perception under the Internet of Vehicles (IOV) Framework (2019-2025)


2 Key Technologies and Industry Chain of Roadside Perception
2.1 Key Roadside Perception Technology
2.1.1 Role of Intelligent Roadside Perception Equipment
2.1.2 Intelligent Roadside Perception Solution
2.1.3 Intelligent Roadside Perception System
2.1.4 Perception Technology
2.1.5 Transmission Technology
2.1.6 Control Technology
2.1.7 Computing Technology
2.1.8 System Integration Technology
2.1.9 Technology of Dynamic Analysis and Security Decision
2.1.10 Key Technology for Roadside Perception?Multi-sensor Fusion
2.1.11 Technological Challenges to Roadside Perception
2.1.12 Roadside Perception Technological Solutions of Major Suppliers
2.1.13 Roadside Perception Product Layout of Major Suppliers
2.2 Intelligent Roadside Perception Industry Chain
2.2.1 New Intelligent Transportation System with Vehicle-Infrastructure-Cloud Collaboration
2.2.2 Role of Vehicle-Infrastructure Cooperation in Intelligent Transportation
2.2.3 Basic Application Scenarios of Intelligent Roadside Perception
2.2.4 Intelligent Roadside Perception Industry Chain
2.2.5 Industrial Ecosystem of CVIS-based Roadside Perception
2.2.6 Roles that All Parties on the Industry Chain Play in the CVIS-based Intelligent Transportation System
2.2.7 Obstacles to Industrialization of C-V2X Roadside Facilities in China


3 Roadside Perception Market Size and Trend
3.1 Intelligent Roadside Perception Market Size
3.1.1 Market Size - Estimated Data and Assumption
3.1.2 Market Size Estimation - Intelligent Roadside Perception Equipment (RSU + Perception)
3.1.3 Market Size Estimation - Cloud Control Platform
3.1.4 Market Size Estimation - Summary (RSU + Cloud Platform + MEC)
3.1.5 Trend of Market Size
3.1.6 Development Trend of Intelligent Roadside Perception
3.2 Patents of Intelligent Roadside Perception Equipment
3.2.1 RSU Patents
3.2.2 MEC Patents


4 Roadside Perception Business Models and Cases
4.1 Roadside Perception Business Models
4.1.1 Market
4.1.2 Prerequisites for Mature Business Models
4.1.3 How to Choose Application Scenarios in Early Industrialization
4.1.4 The Best Application Scenarios in the Early Stage
4.1.5 Exploration of Scenario-based Application Models
4.1.6 IOV Business Model
4.1.7 Challenges to IOV Business Model
4.1.8 Roadside Perception Equipment Investment and Business Model
4.1.9 Commercial Deployments in Intelligent Roadside Equipment
4.1.10 Exploration of Business Model for Intelligent Roadside Equipment
4.1.11 MEC Commercial Deployment Strategy
4.1.12 Deployment of MEC in IOV Scenarios
4.1.13 MEC Business Model
4.1.14 Scenario-based Application Case 1: Platooning on Highway
4.1.15 Scenario-based Application Case 2: Connected Autonomous Driving for Smart Mines
4.1.16 Scenario-based Application Case 2: Connected Autonomous Driving for Smart Mines (Analysis)
4.2 Intelligent Roadside Perception Application Cases
4.2.1 Intelligent Highway
4.2.2 Urban Area
4.2.3 Enclosed or Semi-enclosed Area
4.2.4 Intelligent Pole
4.2.5 Intelligent Pole Architecture


5 Roadside Perception System Solution Providers
5.1 Genvict
5.1.1 Profile
5.1.2 Operation
5.1.3 Development Strategy
5.1.4 Product Line
5.1.5 V2X Roadside Equipment
5.1.6 C-V2X Roadside and Automotive Solution
5.1.7 Major Customers and Partners
5.1.8 Intelligent Roadside Perception Application Case
5.2 Vanjee Technology
5.2.1 Profile
5.2.2 Operation
5.2.3 Intelligent Roadside Equipment
5.2.4 Intelligent Roadside Equipment: Product Parameters
5.2.5 Intelligent Roadside Equipment: Smart Base Station
5.2.6 Products: 3D LiDAR
5.2.7 Products: Intelligent Roadside Perception Solution Based on V2X+3D LiDAR
5.2.8 Intelligent Roadside Perception Cases
5.3 China TransInfo Technology
5.3.1 Profile
5.3.2 Operation
5.3.3 R&D System
5.3.4 Roadside Equipment
5.3.5 Roadside Perception Equipment
5.3.6 Intelligent Roadside Perception Cases
5.4 NEBULA LINK
5.4.1 Profile
5.4.2 Development History
5.4.3 Products
5.4.4 Roadside Perception System
5.4.5 Intelligent Roadside Perception Cases
5.5 iSmartWays
5.5.1 Profile
5.5.2 Development History
5.5.3 Products
5.5.4 Roadside Perception Equipment
5.5.5 Domestic and Foreign Collaborations
5.6 Changsha Intelligent Driving Institute (CiDi)
5.6.1 Profile
5.6.2 Products and Solutions
5.6.3 Roadside Perception Equipment
5.6.4 V2X Cases
5.7 Huawei
5.7.1 Overall Strategic Planning of Intelligent Connected Vehicle (ICV)
5.7.2 ICV Layout and Customers
5.7.3 Products and Technologies
5.7.4 Intelligent Roadside Perception Equipment
5.7.5 Forecast for Global Intelligent Light Pole Market
5.8 Cohda Wireless
5.8.1Profile
5.8.2 Products
5.9 Savari
5.9.1Profile
5.9.2 Technologies and Products
5.9.3 Partners and Investors
5.10 China Automotive Engineering Research Institute
5.10.1 Profile
5.10.2Operation
5.10.3 Winning the Bidding for “IOV” Project of the Ministry of Industry and Information Technology of China
5.11 TransMicrowave
5.11.1 Intelligent Roadside Perception Equipment
5.12 Commsignia
5.12.1Intelligent Roadside Perception Equipment
5.13 Hurys
5.13.1 Profile
5.13.2 Intelligent Roadside Perception Equipment
5.13.3 Roadside Perception Radar
5.13.4 Roadside Perception Camera
5.14 eHualu
5.14.1 Profile
5.14.2 Intelligent Roadside Perception Equipment
5.15 LeiShen Intelligent System
5.15.1 Profile
5.15.2 Roadside Perception Solutions
5.16 China Unicom
5.16.1 MEC Business
5.16.2 MEC Edge Cloud Network Architecture
5.16.3 MEC Edge Cloud Ecosystem
5.16.4 MEC Edge Cloud Deployment & Planning
5.17 ZTE
5.17.1 MEC Business
5.17.2 Cloud Control Platform Business