ISS Cloud
Cloud-Edge Collaborative Physical Car Experimentation Platform
Overview
The ISS Cloud is a comprehensive platform designed to support intelligent autonomous driving research and experimentation through cloud-edge collaboration. It integrates containerized environments with advanced scheduling and resource management using technologies like Docker, Kubernetes, and KubeSphere. The platform provides efficient deployment, management, and control of physical car nodes, enabling users to remotely interact with and experiment on autonomous vehicles.
Key Features:
- Containerization with Docker for rapid deployment and isolation of the ISSPA environment.
- Kubernetes-based scheduling to ensure optimal resource allocation across physical nodes.
- KubeSphere for user-friendly management and operations of multi-user, multi-cluster environments.
- Edge computing capabilities with KubeEdge and EdgeMesh for reliable service delivery even in poor network conditions.
- Low-latency WebRTC streaming for real-time vehicle control and data visualization.
The platform supports remote code editing, live-streaming of real-world vehicle operations, and dynamic task assignment through its web-based interface, making it an ideal environment for autonomous driving experimentation.