EdgeCar — Edge AI for Autonomous Vehicles

Edge AI computing platform for real-time perception and decision-making in connected vehicles

EdgeCar explored edge AI architectures for connected and autonomous vehicle environments.

Kubernetes-based edge OTA architecture: a Master Node (MS Azure Cloud) manages on-vehicle edge nodes (Nuvo), with OTA control to the OTA Application, model download from the OTA Server, and the OTA Manager (Container/Pod) serving the precision-map and analysis service.

Key Contributions

  • Real-time object detection and tracking optimized for in-vehicle hardware
  • Secure V2X (vehicle-to-everything) data communication
  • Edge–cloud offloading strategies for dynamic driving scenarios

Funding: IITP
Period: 2020 – 2023
Role: Partner lead