Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies

How do you remotely control 700 vehicles with under 50ms latency? Explore the hybrid cloud architecture enabling autonomous driving on factory grounds.

#1about 6 minutes

Automating post-production vehicle logistics on plant grounds

The project's vision is to create an industry-ready solution for autonomously managing vehicle logistics on manufacturing plant grounds after production.

#2about 4 minutes

Defining the four core technical goals for the platform

The platform is built on four key objectives: creating a digital environmental model, enabling high-precision routing, maintaining a near-real-time cloud infrastructure, and integrating with enterprise systems.

#3about 3 minutes

Detailing the automated logistics use case and tech stack

Specific automated processes include test drives, charging, and moving vehicles to parking, all managed by an AWS backend built with Terraform, Java, Kafka, and Angular.

#4about 4 minutes

Building an environmental model with LiDAR IoT sensors

LiDAR sensors create a detailed point cloud of the surroundings, which is processed to detect objects, obstacles, and viable routes for the vehicles.

#5about 8 minutes

Designing the AWS architecture for real-time vehicle control

The AWS architecture handles high-volume, low-latency data from vehicles and on-premise systems using services like EKS, Transit Gateway, and GuardDuty for secure and scalable processing.

#6about 3 minutes

Implementing a comprehensive system monitoring strategy

A three-part monitoring strategy uses Grafana for metrics, Elasticsearch and Kibana for log analysis, and Dynatrace for microservice tracing to ensure system health and performance.

#7about 7 minutes

Answering questions on data volume, challenges, and databases

The discussion covers processing terabytes of raw data, the challenge of reliable vehicle-to-cloud communication, and using DynamoDB for near-real-time performance.

#8about 7 minutes

Discussing team structure, agile methods, and microservices

The team uses SAFe to coordinate frontend and backend development, balancing agile software practices with slower hardware lifecycles, and leverages microservices for scalability.

#9about 6 minutes

Explaining security protocols and career opportunities

Security is ensured through two-way DTLS with a custom encryption algorithm and certificate-based handshakes, followed by a discussion on career opportunities at the company.