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

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

Jithin Jagannath
Anu Jagannath
Sean Furman
Tyler Gwin
ArXivPDFHTML

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

5 / 5 papers shown
Title
LiDAR-based drone navigation with reinforcement learning
LiDAR-based drone navigation with reinforcement learning
Paweł Miera
Hubert Szolc
T. Kryjak
19
1
0
26 Jul 2023
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges
Anu Jagannath
Jithin Jagannath
P. Kumar
31
133
0
03 Jan 2022
Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU
Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU
Nicholas Polosky
Tyler Gwin
Sean Furman
Parth Barhanpurkar
Jithin Jagannath
24
6
0
03 Dec 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
457
11,715
0
09 Mar 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
340
10,633
0
19 Feb 2017