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

24 May 2017

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

32 / 32 papers shown

Title
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 35 0 0 08 May 2025
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks Edgar Heinert Stephan Tilgner Timo Palm Matthias Rottmann UQCV 54 0 0 17 Sep 2024
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 40 31 0 17 Jul 2023
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 40 1 0 08 Jun 2023
Deep Occupancy-Predictive Representations for Autonomous Driving Eivind Meyer Lars Frederik Peiss Matthias Althoff 42 3 0 07 Mar 2023
Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation Shikuan Xie Ran Song Yuenan Zhao Xueqin Huang Yibin Li Wei Zhang 47 9 0 28 Dec 2022
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown Maxime Chaveroche Franck Davoine V. Berge-Cherfaoui 17 1 0 12 Dec 2022
Density Planner: Minimizing Collision Risk in Motion Planning with Dynamic Obstacles using Density-based Reachability Laura Lutzow Yue Meng Andres S. Chavez Armijos Chuchu Fan 32 4 0 05 Oct 2022
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation Hugues Thomas Jian Zhang Timothy D. Barfoot 3DPC 34 4 0 26 Aug 2022
Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning K. S. Mann Abhishek Tomy Anshul K. Paigwar A. Renzaglia Christian Laugier 43 10 0 06 May 2022
Towards Learning Generalizable Driving Policies from Restricted Latent Representations Behrad Toghi Rodolfo Valiente Ramtin Pedarsani Y. P. Fallah 34 5 0 05 Nov 2021
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks Benedikt Mersch Xieyuanli Chen Jens Behley C. Stachniss 3DPC 34 54 0 28 Sep 2021
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving Xuanchi Ren Tao Yang Erran L. Li Alexandre Alahi Qifeng Chen 30 24 0 03 Sep 2021
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm Mark Koren Ahmed Nassar Mykel J. Kochenderfer 29 20 0 27 Jul 2021
Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training Data Patrick Pfreundschuh Hubertus Franciscus Cornelis Hendrikx Victor Reijgwart Renaud Dubé Roland Siegwart Andrei Cramariuc 33 76 0 08 Apr 2021
MP3: A Unified Model to Map, Perceive, Predict and Plan Sergio Casas Abbas Sadat R. Urtasun 3DV 35 224 0 18 Jan 2021
Attention Augmented ConvLSTM for Environment Prediction Bernard Lange Masha Itkina Mykel J. Kochenderfer 84 21 0 19 Oct 2020
Occupancy Anticipation for Efficient Exploration and Navigation Santhosh Kumar Ramakrishnan Ziad Al-Halah Kristen Grauman EgoV 3DPC 27 162 0 21 Aug 2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations Abbas Sadat Sergio Casas Mengye Ren Xinyu Wu Pranaab Dhawan R. Urtasun 3DV 41 191 0 13 Aug 2020
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 27 20 0 03 Aug 2020
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps Pengxiang Wu Siheng Chen Dimitris N. Metaxas 3DPC 14 154 0 15 Mar 2020
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 27 68 0 28 Feb 2020
Measuring the Utilization of Public Open Spaces by Deep Learning: a Benchmark Study at the Detroit Riverfront Peng Sun R. Hou J. Lynch 16 5 0 04 Feb 2020
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review Sajjad Mozaffari Omar Y. Al-Jarrah M. Dianati P. Jennings A. Mouzakitis 29 136 0 25 Dec 2019
Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks M. Schreiber Vasileios Belagiannis Claudius Glaeser Klaus C. J. Dietmayer 32 20 0 25 Sep 2019
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving Jiachen Li Wei Zhan Yeping Hu Masayoshi Tomizuka 32 43 0 23 Aug 2019
Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic Segmentation Liat Sless Gilad Cohen Bat El Shlomo Shaul Oron 30 6 0 31 Mar 2019
Architecting Dependable Learning-enabled Autonomous Systems: A Survey Chih-Hong Cheng Dhiraj Gulati Rongjie Yan 27 4 0 27 Feb 2019
Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding L. Marina Bogdan Trasnea Tiberiu T. Cocias Andrei Vasilcoi F. Moldoveanu Sorin Grigorescu AI4CE 34 15 0 16 Jan 2019
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks M. Schreiber S. Hörmann Klaus C. J. Dietmayer 24 63 0 11 Sep 2018
Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs Nico Engel S. Hörmann Philipp Henzler Klaus C. J. Dietmayer 35 21 0 23 May 2018
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 64 148 0 09 May 2016