Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU

no code implementations • 3 Dec 2021 • Nicholas Polosky, Tyler Gwin, Sean Furman, Parth Barhanpurkar, Jithin Jagannath

Interest in unmanned aerial system (UAS) powered solutions for 6G communication networks has grown immensely with the widespread availability of machine learning based autonomy modules and embedded graphical processing units (GPUs).

Collision Avoidance Depth Estimation

Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment

no code implementations • 7 Sep 2020 • Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin

Therefore, in this chapter, we discuss how some of the advances in machine learning, specifically deep learning and reinforcement learning can be leveraged to develop next-generation autonomous UAS.

BIG-bench Machine Learning reinforcement-learning +1