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Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep
  Learning Approach with Fully Automatic Labeling

Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling

24 May 2017
Stefan Hoermann
Martin Bach
Klaus C. J. Dietmayer
ArXivPDFHTML

Papers citing "Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling"

19 / 19 papers shown
Title
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles
Shuqi Shen
Junjie Yang
Hongliang Lu
Hui Zhong
Qiming Zhang
Xinhu Zheng
21
0
0
08 May 2025
Uncertainty and Prediction Quality Estimation for Semantic Segmentation
  via Graph Neural Networks
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks
Edgar Heinert
Stephan Tilgner
Timo Palm
Matthias Rottmann
UQCV
32
0
0
17 Sep 2024
Building Volumetric Beliefs for Dynamic Environments Exploiting
  Map-Based Moving Object Segmentation
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation
Benedikt Mersch
Tiziano Guadagnino
Xieyuanli Chen
Ignacio Vizzo
Jens Behley
C. Stachniss
3DPC
27
31
0
17 Jul 2023
Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation
  and Projection of Sensor Data over Time
Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time
Marco Braun
Moritz Luszek
M. Meuter
Dominic Spata
Kevin Kollek
A. Kummert
19
1
0
08 Jun 2023
Deep Occupancy-Predictive Representations for Autonomous Driving
Deep Occupancy-Predictive Representations for Autonomous Driving
Eivind Meyer
Lars Frederik Peiss
Matthias Althoff
24
3
0
07 Mar 2023
Circular Accessible Depth: A Robust Traversability Representation for
  UGV Navigation
Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation
Shikuan Xie
Ran Song
Yuenan Zhao
Xueqin Huang
Yibin Li
Wei Zhang
25
9
0
28 Dec 2022
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic
  Scenes for Indoor Navigation
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation
Hugues Thomas
Jian Zhang
Timothy D. Barfoot
3DPC
14
4
0
26 Aug 2022
Predicting Future Occupancy Grids in Dynamic Environment with
  Spatio-Temporal Learning
Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning
K. S. Mann
Abhishek Tomy
Anshul K. Paigwar
A. Renzaglia
Christian Laugier
26
10
0
06 May 2022
Finding Failures in High-Fidelity Simulation using Adaptive Stress
  Testing and the Backward Algorithm
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm
Mark Koren
Ahmed Nassar
Mykel J. Kochenderfer
11
20
0
27 Jul 2021
Attention Augmented ConvLSTM for Environment Prediction
Attention Augmented ConvLSTM for Environment Prediction
Bernard Lange
Masha Itkina
Mykel J. Kochenderfer
65
21
0
19 Oct 2020
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous
  Driving
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving
Kuan-Hui Lee
Matthew Kliemann
Adrien Gaidon
Jie Li
Chao Fang
Sudeep Pillai
Wolfram Burgard
3DPC
11
20
0
03 Aug 2020
SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random
  Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural
  Network
SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network
Hyeongseok Jeon
Junwon Choi
Dongsuk Kum
GNN
6
68
0
28 Feb 2020
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving
  Applications: A Review
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review
Sajjad Mozaffari
Omar Y. Al-Jarrah
M. Dianati
P. Jennings
A. Mouzakitis
11
135
0
25 Dec 2019
Generic Tracking and Probabilistic Prediction Framework and Its
  Application in Autonomous Driving
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving
Jiachen Li
Wei Zhan
Yeping Hu
M. Tomizuka
13
43
0
23 Aug 2019
Road Scene Understanding by Occupancy Grid Learning from Sparse Radar
  Clusters using Semantic Segmentation
Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic Segmentation
Liat Sless
Gilad Cohen
Bat El Shlomo
Shaul Oron
14
6
0
31 Mar 2019
Architecting Dependable Learning-enabled Autonomous Systems: A Survey
Architecting Dependable Learning-enabled Autonomous Systems: A Survey
Chih-Hong Cheng
Dhiraj Gulati
Rongjie Yan
11
4
0
27 Feb 2019
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
17
63
0
11 Sep 2018
Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs
Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs
Nico Engel
S. Hörmann
Philipp Henzler
Klaus C. J. Dietmayer
17
21
0
23 May 2018
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
61
148
0
09 May 2016
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