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Towards Monocular Vision based Obstacle Avoidance through Deep
  Reinforcement Learning

Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning

29 June 2017
Linhai Xie
Sen Wang
Andrew Markham
A. Trigoni
ArXivPDFHTML

Papers citing "Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning"

15 / 15 papers shown
Title
NavRL: Learning Safe Flight in Dynamic Environments
NavRL: Learning Safe Flight in Dynamic Environments
Zhefan Xu
Xinming Han
Haoyu Shen
Hanyu Jin
Kenji Shimada
91
5
0
24 Sep 2024
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent
  Convolutional Neural Networks
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks
Sen Wang
R. Clark
Hongkai Wen
A. Trigoni
43
781
0
25 Sep 2017
Obstacle Avoidance through Deep Networks based Intermediate Perception
Obstacle Avoidance through Deep Networks based Intermediate Perception
Shichao Yang
Sandeep Konam
Chen Ma
Stephanie Rosenthal
Manuela Veloso
Sebastian Scherer
42
39
0
27 Apr 2017
Learning to Fly by Crashing
Learning to Fly by Crashing
Dhiraj Gandhi
Lerrel Pinto
Abhinav Gupta
SSL
70
276
0
19 Apr 2017
Virtual-to-real Deep Reinforcement Learning: Continuous Control of
  Mobile Robots for Mapless Navigation
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation
L. Tai
Giuseppe Paolo
Ming-Yuan Liu
66
706
0
01 Mar 2017
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization
R. Clark
Sen Wang
Andrew Markham
A. Trigoni
Hongkai Wen
42
227
0
21 Feb 2017
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning
  Problem
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem
R. Clark
Sen Wang
Hongkai Wen
Andrew Markham
A. Trigoni
43
348
0
29 Jan 2017
Learning to Navigate in Complex Environments
Learning to Navigate in Complex Environments
Piotr Wojciech Mirowski
Razvan Pascanu
Fabio Viola
Hubert Soyer
Andy Ballard
...
Ross Goroshin
Laurent Sifre
Koray Kavukcuoglu
D. Kumaran
R. Hadsell
70
876
0
11 Nov 2016
Towards Cognitive Exploration through Deep Reinforcement Learning for
  Mobile Robots
Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots
L. Tai
Ming-Yuan Liu
38
103
0
06 Oct 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks
Deeper Depth Prediction with Fully Convolutional Residual Networks
Iro Laina
Christian Rupprecht
Vasileios Belagiannis
Federico Tombari
Nassir Navab
3DV
MDE
215
1,823
0
01 Jun 2016
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
63
3,742
0
20 Nov 2015
Deep Neural Network for Real-Time Autonomous Indoor Navigation
Deep Neural Network for Real-Time Autonomous Indoor Navigation
Dong Ki Kim
Tsuhan Chen
3DPC
40
117
0
15 Nov 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
131
7,590
0
22 Sep 2015
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
Raul Mur-Artal
José M.M. Montiel
Juan D. Tardós
70
6,364
0
03 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
854
149,474
0
22 Dec 2014
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