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AirCapRL: Autonomous Aerial Human Motion Capture using Deep
  Reinforcement Learning

AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning

13 July 2020
Rahul Tallamraju
Nitin Saini
Elia Bonetto
Michael Pabst
Y. Liu
Michael J. Black
Aamir Ahmad
ArXivPDFHTML

Papers citing "AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning"

5 / 5 papers shown
Title
CoCap: Coordinated motion Capture for multi-actor scenes in outdoor environments
CoCap: Coordinated motion Capture for multi-actor scenes in outdoor environments
Aditya Rauniyar
Micah Corah
Sebastian A. Scherer
31
0
0
31 Dec 2024
When to Localize? A Risk-Constrained Reinforcement Learning Approach
When to Localize? A Risk-Constrained Reinforcement Learning Approach
Chak Lam Shek
Kasra Torshizi
Troi Williams
Pratap Tokekar
39
2
0
05 Nov 2024
Motion Planning Among Dynamic, Decision-Making Agents with Deep
  Reinforcement Learning
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
146
509
0
04 May 2018
PAMPC: Perception-Aware Model Predictive Control for Quadrotors
PAMPC: Perception-Aware Model Predictive Control for Quadrotors
Davide Falanga
Philipp Foehn
Peng Lu
Davide Scaramuzza
69
215
0
13 Apr 2018
Deep Neural Network-based Cooperative Visual Tracking through Multiple
  Micro Aerial Vehicles
Deep Neural Network-based Cooperative Visual Tracking through Multiple Micro Aerial Vehicles
Eric Price
Guilherme Lawless
H. Bülthoff
Michael J. Black
Aamir Ahmad
13
57
0
05 Feb 2018
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