Geoff Ballinger discusses the future of automated transport systems that require accurate vehicle positioning, highlighting a trial that achieved 2cm GPS accuracy at 100km/h. He explains the challenges faced in deploying a Docker and Swarm environment, including limited access and a multi-architecture setup. Ballinger concludes by mentioning hiring opportunities for CUDA developers and software engineers.

1. Geoff Ballinger / Head of Platform
Docker Swarm for Embedded Environments

2. Future transport will be highly automated and coordinated.
Knowing the position of each vehicle will be critical.

3. The ground has measureable structure that is unique to a location

4. Fast Forward a few years …

5. Initial trials gave 2cm accuracy at 100km/h
GPS

6. RailLoc
RailLoc Engine
RailLoc Sensor
RailLoc Map
Server
GPS
Track ID, Position
& Velocity
Offline GPS
Correction

7. Software

8. Challenges
• very limited physical access
• semi-air gapped system
• multi architecture – x86_64 + aarch64
• R&D deployment where things will change often!

9. Docker & Swarm gives us …
• simple/vanilla local install of OS + docker-ce
• managed as a single resource
• converges to the defined / versioned configuration
• run local registry service for container images
• sneaker-net updates via my laptop’s image cache and a new
docker-compose.yaml

10. Rough Edges
• docker support in L4T kernel is fragile
• NVIDIA L4T seems to break overlay networks
• some ROS nodes will need to run CUDA code …

11. Geoff Ballinger / Head of Platform
Thanks for listening!
(We are hiring for CUDA developers now, software
engineers soon, and many other technical roles
over the next year!)