Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks

11 September 2018

Papers citing "Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks"

17 / 17 papers shown

Title
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving Bernard Lange Masha Itkina Jiachen Li Mykel J. Kochenderfer 74 4 0 30 Jul 2024
Offline Object Extraction from Dynamic Occupancy Grid Map Sequences Daniel Stumper Fabian Gies S. Hörmann Klaus C. J. Dietmayer 58 9 0 11 Apr 2018
Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture Seonghyeon Park Byeongdo Kim C. Kang C. Chung J. Choi 54 409 0 18 Feb 2018
Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling Stefan Hoermann Martin Bach Klaus C. J. Dietmayer 63 165 0 24 May 2017
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 738 37,846 0 20 May 2016
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 84 150 0 09 May 2016
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks Peter Ondruska J. Dequaire Dominic Zeng Wang Ingmar Posner 87 62 0 18 Apr 2016
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 Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 560 7,989 0 13 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,133 0 18 May 2015
Learning Deconvolution Network for Semantic Segmentation Hyeonwoo Noh Seunghoon Hong Bohyung Han SSeg 232 4,177 0 17 May 2015
Unsupervised Learning of Video Representations using LSTMs Nitish Srivastava Elman Mansimov Ruslan Salakhutdinov SSL 130 2,591 0 16 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 434 20,553 0 10 Sep 2014
Recurrent Neural Network Regularization Wojciech Zaremba Ilya Sutskever Oriol Vinyals ODL 137 2,776 0 08 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 190 5,342 0 21 Nov 2012