Global and China Software-defined Vehicle Industry Research, Panorama and Strategy Report 2023-2024: How to Build Intelligent Driving Software-defined Vehicle (SDV) Architecture?
Autonomous driving R&D links mainly involve software engineering and hardware engineering:
- Autonomous driving R&D links mainly involve software engineering and hardware engineering:
Basic software for intelligent driving: real-time vehicle control operating system (narrowly defined OS), intelligent driving middleware (ROS, CyberRT, DDS, AutoSAR), autonomous driving operating system (broadly defined OS), etc. - );
General algorithm training for intelligent driving: AI deep learning software platform, intelligent driving data training set, etc. - Intelligent driving hardware system design: computing platform hardware system architecture design, vehicle chip system design, vehicle sensor system design, etc.
- 1.5 Construction of Universal Algorithms for Intelligent Driving: from Small Models to Large Models
1.6 Intelligent Driving General Algorithm Architecture: AI Deep Learning Software Platform
1.9 Intelligent Driving Terminal-cloud Integration: Data Closed-loop
1.10 Intelligent Driving Terminal-Cloud Integration: Data Collection & Annotation
1.11 Intelligent Driving Terminal-Cloud Integration: Simulation Testing: Scenario Library
1.12 Intelligent Driving Terminal-Cloud Integration: Simulation Testing: Simulation Platform
1.13 Intelligent Driving Terminal-Cloud Integration: Cloud Native and Storage Platform
1.14 Intelligent Driving Terminal-Cloud Integration: HD Map
1.15 Intelligent Driving Assistance Software: ADAS Performance Evaluation
1.16 Intelligent Driving Assistance Software: ADAS Data Recording
2 How to Build Intelligent Cockpit Software System?