Jetson AGX AUTOWARE Module Deployment

CUDA, Machine Learning (ML), AI (Artificial Intelligence) HW/SW, Machine Learning Algorithms, AI Model Development, AI Development, AI Integration, AI Workflow Automation · My NVIDIA Jetson AGX Development Kit is already flashed, updated, and running smoothly—now I need Autoware up and working end-to-end on it. I’m targeting the Perception, Localization, and Path Planning stacks, so the job is to install, configure, and validate those three modules on the board.

Here’s what I expect: • Clean installation of the current Autoware version compatible with JetPack on the AGX • All required dependencies (ROS 2, CUDA, TensorRT, etc.) resolved without breaking existing packages • Perception, Localization, and Path Planning nodes launched through reproducible, scripted workflows (Docker or native—your call, as long as it’s reliable) • Demonstration bag file or simulation run proving each module is publishing the right topics at expected rates • Brief hand-off notes: exact commands, config files, and tips so I can replicate or extend the setup later

If you have prior experience squeezing maximum performance out of Jetson GPUs for ROS 2 workloads, let’s talk.