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Stochastic Occupancy Grid Map Prediction in Dynamic Scenes

Stochastic Occupancy Grid Map Prediction in Dynamic Scenes

16 October 2022
Zhanteng Xie
P. Dames
ArXivPDFHTML

Papers citing "Stochastic Occupancy Grid Map Prediction in Dynamic Scenes"

22 / 22 papers shown
Title
DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using
  Velocity Obstacles
DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
Zhanteng Xie
P. Dames
74
64
0
16 Jan 2023
Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of
  Demonstrations for Social Navigation
Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation
Haresh Karnan
Anirudh Nair
Xuesu Xiao
Garrett A. Warnell
S. Pirk
Alexander Toshev
Justin W. Hart
Joydeep Biswas
Peter Stone
59
117
0
28 Mar 2022
Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in
  Dynamic Scenes
Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes
Hugues Thomas
Matthieu Gallet de Saint Aurin
Jian Zhang
Timothy D. Barfoot
54
13
0
24 Aug 2021
Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic
  Environments
Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments
Maneekwan Toyungyernsub
Masha Itkina
Ransalu Senanayake
Mykel J. Kochenderfer
58
22
0
18 Nov 2020
Dynamic Occupancy Grid Mapping with Recurrent Neural Networks
Dynamic Occupancy Grid Mapping with Recurrent Neural Networks
M. Schreiber
Vasileios Belagiannis
Claudius Glaser
Klaus C. J. Dietmayer
50
36
0
17 Nov 2020
Attention Augmented ConvLSTM for Environment Prediction
Attention Augmented ConvLSTM for Environment Prediction
Bernard Lange
Masha Itkina
Mykel J. Kochenderfer
104
21
0
19 Oct 2020
Derivation of a Constant Velocity Motion Model for Visual Tracking
Derivation of a Constant Velocity Motion Model for Visual Tracking
N. L. Baisa
39
15
0
02 May 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CE
PINN
143
290
0
03 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
384
42,299
0
03 Dec 2019
Motion Estimation in Occupancy Grid Maps in Stationary Settings Using
  Recurrent Neural Networks
Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks
M. Schreiber
Vasileios Belagiannis
Claudius Glaeser
Klaus C. J. Dietmayer
51
20
0
25 Sep 2019
Dynamic Environment Prediction in Urban Scenes using Recurrent
  Representation Learning
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning
Masha Itkina
Katherine Driggs-Campbell
Mykel J. Kochenderfer
28
33
0
28 Apr 2019
What the Constant Velocity Model Can Teach Us About Pedestrian Motion
  Prediction
What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction
Christoph Schöller
Vincent Aravantinos
F. Lay
Alois C. Knoll
59
221
0
19 Mar 2019
2D LiDAR Map Prediction via Estimating Motion Flow with GRU
2D LiDAR Map Prediction via Estimating Motion Flow with GRU
Yafei Song
Yonghong Tian
G. Wang
Mingyang Li
3DPC
57
11
0
19 Feb 2019
Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural
  Networks
Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks
Nima Mohajerin
Mohsen Rohani
31
64
0
21 Dec 2018
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks
M. Schreiber
S. Hörmann
Klaus C. J. Dietmayer
40
64
0
11 Sep 2018
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
80
932
0
25 May 2016
A Random Finite Set Approach for Dynamic Occupancy Grid Maps with
  Real-Time Application
A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application
Dominik Nuss
Stephan Reuter
Markus Thom
Ting Yuan
Gunther Krehl
M. Maile
Axel Gern
Klaus C. J. Dietmayer
77
150
0
09 May 2016
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
Peter Ondruska
Ingmar Posner
55
239
0
02 Feb 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
536
7,977
0
13 Jun 2015
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLM
MDE
195
2,678
0
18 Nov 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
917
23,310
0
03 Jun 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
424
16,944
0
20 Dec 2013
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