Dominique Heller

About

Dominique Heller is a leading researcher in embedded systems, reconfigurable computing, and autonomous unmanned aerial vehicles (UAVs), with a particular focus on bridging the gap between simulation and real-world deployment. Their most cited work, "Hardware-in-the-loop simulation with dynamic partial FPGA reconfiguration applied to computer vision in ROS-based UAV" (2020, 15 citations), introduces a groundbreaking approach that combines hardware-in-the-loop (HIL) simulation with dynamic partial reconfiguration (DPR) of FPGAs. This method enables energy-efficient, high-performance computer vision processing on resource-constrained UAV platforms, allowing for safe, rapid prototyping without sacrificing computational power. By integrating DPR with the Robot Operating System (ROS), Heller’s work provides a scalable framework for real-time vision tasks—such as object detection and navigation—while maintaining low latency and power consumption. This contribution is pivotal for advancing autonomous systems in field robotics, where limited onboard resources demand adaptive, efficient hardware. Heller’s research continues to influence the development of resilient, reconfigurable embedded systems for next-generation autonomous vehicles.

Research Focus

Key Achievements

Top Papers

1. 1
   Hardware-in-the-loop simulation with dynamic partial FPGA reconfiguration applied to computer vision in ROS-based UAV

   15 citations · 2020

Key Collaborators

Contact & Links