Table of Content

1 Overview of Autonomous Driving Simulation
1.1 Overview of Autonomous Driving Simulation Technology
1.2 Significance of Simulation Testing to Autonomous Driving R&D
1.3 Types of Autonomous Driving Simulation Technology
1.4 Composition of Autonomous Driving Simulation Software
1.5 Overview Diagram of Simulation Software System
1.6 International Organization for Standardization of Autonomous Driving Simulation: ASAM
1.6.1 Association for Standardization of Automation and Measuring Systems (ASAM)
1.6.2 Chinese ASAM Standards: C-ASAM Working Group
1.6.3 ASAM Standard Domains
1.7 Status Quo of Autonomous Driving Simulation Test Standards in China
1.7.1 Autonomous Driving Road Test Standards - National
1.7.2 Autonomous Driving Road Test Standards – Provincial/Municipal
1.8 Status Quo of the Formulation of International Standards for Autonomous Driving Test Scenarios in Which China Has Participated
1.9 Progress in China’s Autonomous Driving Function Simulation Standards
1.10 Multi-scenario Multi-engine Simulation Test Service Platform Solutions in China
1.11 Partnerships between OEMs and Autonomous Driving Simulation Platforms in China
1.12 Comparison between Autonomous Driving Simulation Platforms in China
1.12.1 Recent Developments in Autonomous Driving Simulation Platforms in China


2 Autonomous Driving Simulation Platforms and Companies
2.1 PanoSim
2.1.1 Profile
2.1.2 Autonomous Driving Simulation Test Platform
2.1.2 Composition and Functions of Products
2.1.2 Products and Features
2.1.3 xPilot Autonomous Driving Simulation Test Platform
2.1.3 Components of xPilot
2.1.3 Core Advantages of xPilot
2.1.3 Application Scenarios of xPilot
2.1.4 PanoDrive Driving Simulator
2.2 51World
2.2.1 Profile
2.2.2 51Sim-One Simulation Platform
2.2.2 51Sim-One Simulation Platform: Scenarios
2.2.2 51Sim-One Simulation Platform: Perceptual Simulation
2.2.3 51Sim-One Simulation Platform: Regulatory Control Simulation
2.2.3 51Sim-One Simulation Platform: Cloud Simulation
2.2.3 51Sim-One Simulation Platform: XIL
2.2.4 Dataverse Data Platform
2.2.5 51Sim-One 2.0
2.2.6 Application Case: Shanghai Motor Vehicle Inspection Certification & Tech Innovation Center (SMVIC)
2.2.7 Cooperation Events
2.3 Huawei
2.3.1 Profile
2.3.2 MDC Platform: Cloud Training and Simulation Services
2.3.3 "Octopus" Autonomous Driving Open Platform
2.3.3 "Octopus" Autonomous Driving Open Platform: One-stop Autonomous Driving DevOps Capabilities
2.3.3 "Octopus" Autonomous Driving Open Platform: Digital Twin and Virtual-Real Hybrid Simulation
2.3.4 Octopus Autonomous Driving Cloud Service of Huawei Cloud
2.3.4 Octopus Autonomous Driving Simulation Platform: Simulation Services
2.3.4 Octopus Autonomous Driving Simulation Platform: Cloud + AI + Hardware and Software + Chip Combined Ecosystem
2.4 Baidu
2.4.1 Apollo Simulation Platform
2.4.1 Apollo Simulation Platform: Scene Library
2.4.1 Apollo Simulation Platform: Evaluation Criteria
2.4.1 Apollo Simulation Platform: Version Iteration
2.4.2 AADS
2.4.3 Cooperation Events
2.5 Tencent
2.5.1 TAD Sim Autonomous Driving Simulation Platform
2.5.2 TAD Sim Autonomous Driving Simulation Platform: Product Features and Core Capabilities
2.5.3 TAD Sim Autonomous Driving Simulation Platform: Scene Restoration and Digital Twin
2.5.4 TAD Sim Autonomous Driving Simulation Platform: Environment Simulation
2.5.5 TAD Sim Autonomous Driving Simulation Platform: Sensor Simulation
2.5.6 TAD Sim 2.0: Combination of Gaming Technology and Simulation
2.5.6 TAD Sim 2.0: Architecture Upgrade
2.5.7 Derivation of Autonomous Driving Simulation: City-level Simulation Platform
2.5.8 Cooperation Events
2.6 Alibaba (DAMO Academy)
2.6.1 Autonomous Driving Layout of Alibaba
2.6.2 Cloud-based Intelligent Simulation Test Platform
2.6.3 Hybrid Simulation Test Platform
2.7 IAE
2.7.1 Profile
2.7.2 X-IN-LOOP Simulation Test Technology System
2.7.3 "Shuimu Lingjing" Scene Workshop (Massive Scene Libraries)
2.7.4 Scene Data Production Closed-loop System
2.7.4 Continuous Simulation Testing Based on the Scene Workshop
2.7.5 "Jellyfish" Cloud Computing Power Massive Simulation SaaS Platform
2.7.5 Customer Cases of "Jellyfish" Cloud Computing Power Massive Simulation SaaS Platform
2.7.5 ADAS-AD-V2X Hardware-in-the-Loop (HIL) Products and Customer Cases
2.7.6 Vehicle-in-the-loop Technology System
2.7.7 Advanced Vehicle-in-the-loop (VaHIL) Simulation Laboratory and Customer Cases
2.7.8 Generate Training Dataset Based on the Scene Workshop
2.8 CAERI
2.8.1 Profile
2.8.2 Scene Library and Simulation System Integrated Solution
2.8.3 Virtual Simulation Scene Library: i-Scenario
2.8.4 Chinese Typical Driving Scene Library: V3.0
2.8.5 Virtual Simulation Scene Generation/Conversion Software and Hardware-in-the-loop (HIL)
2.8.6 Scene Data Processing Cloud Platform: i-STAR
2.8.7 Scene Data Collection Equipment Platform: i-Collector
2.8.8 Autonomous Driving Evaluation Software: i-Evaluator
2.8.9 Cooperation Events
2.9 Saimo Technology
2.9.1 Profile
2.9.2 Intelligent Connected Vehicle Simulation and Testing Platform: Sim Pro
2.9.3 Autonomous Driving Function Cloud Platform
2.9.4 Key Technologies and Experimental Environment & Facilities
2.9.5 Cooperation
2.10 CICV
2.10.1 Profile
2.10.2 Virtual Simulation Test Evaluation
2.10.3 China Intelligent and Connected Vehicle Basic Data Service Platform
2.10.4 Cooperation Events
2.11 SMVIC
2.11.1 Profile
2.11.2 Autonomous Driving Simulation Test Laboratory
2.11.2 Autonomous Driving Simulation Test Laboratory: Service Capabilities
2.11.2 Autonomous Driving Simulation Test Laboratory: Scene Library
2.11.2 Autonomous Driving Simulation Test Laboratory: Application of Trunk Autonomous Driving
2.11.3 Sensor Simulation
2.11.4 Automotive Intelligent Computing System Public Service Platform
2.12 CATARC
2.12.1 Profile
2.12.2 Driving Scenario Simulation Platform
2.12.3 Autonomous Driving Simulation Cloud Platform: AD Chauffeur 2.0
2.12.3 AD Chauffeur 2.0: Core Features
2.12.3 AD Chauffeur 2.0: Function Upgrades
2.12.4 Scenario Generalization Tool: AD Scenario


3 Autonomous Driving Simulation Trends
3.1 Trend 1
3.2 Trend 2
3.3 Trend 3
3.4 Trend 4
3.5 Trend 5
3.6 Trend 6