6 posts tagged with "ROS 2"

I recently deployed RF-DETR — Roboflow's real-time, transformer-based object detector — into a TensorRT-accelerated ROS2 pipeline. This post covers what RF-DETR is, why I picked it, and how the deployment is structured.

After my previous experiments with camera-based detection and FLOAM-based LiDAR odometry in CARLA, I wanted to push things further — this time focusing on robustness under adversarial conditions.

After my previous CARLA experiment with camera-based object detection, I wanted to push further — this time focusing on LiDAR and localization.

I recently started experimenting with the CARLA simulator and decided to test whether a pre-trained perception model — with zero exposure to simulated data — could hold up against synthetic imagery.

This post explains how I deployed the TorchVision FCOS object detection model in TensorRT for real-time inference — achieving a ~20× speedup over the LibTorch baseline.

This post outlines how I optimized a Fully Convolutional Network (FCN) segmentation pipeline — from 0.5 FPS (~2000ms per frame) to 31 FPS in real-time.