Deep Occupancy-Predictive Representations for Autonomous Driving

7 March 2023

Papers citing "Deep Occupancy-Predictive Representations for Autonomous Driving"

26 / 26 papers shown

Title
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving R. Mahjourian Jinkyu Kim Yuning Chai Mingxing Tan Benjamin Sapp Drago Anguelov 79 83 0 08 Mar 2022
StarNet: Joint Action-Space Prediction with Star Graphs and Implicit Global Frame Self-Attention Faris Janjos Maxim Dolgov Johann Marius Zöllner GNN 3DPC 58 17 0 26 Nov 2021
Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin Devon Hjelm Philip Bachman Aaron Courville OffRL 103 118 0 09 Jun 2021
HOME: Heatmap Output for future Motion Estimation Thomas Gilles S. Sabatini D. Tsishkou B. Stanciulescu Fabien Moutarde 83 202 0 23 May 2021
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents Byeoungdo Kim Seonghyeon Park S. Lee Elbek Khoshimjonov Dongsuk Kum Junsoo Kim Jeong Soo Kim J. Choi 100 105 0 01 Apr 2021
Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map Elmira Amirloo Mohsen Rohani Ershad Banijamali Jun Luo Pascal Poupart SSL 65 4 0 01 Mar 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting Wenyuan Zeng Ming Liang Renjie Liao R. Urtasun GNN 101 183 0 17 Jan 2021
Learning Lane Graph Representations for Motion Forecasting Ming Liang Binh Yang Rui Hu Yun Chen Renjie Liao Song Feng R. Urtasun 81 574 0 27 Jul 2020
Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments Patrick Hart Alois Knoll GNN 60 38 0 22 Jun 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 180 143 0 30 Apr 2020
A Survey of End-to-End Driving: Architectures and Training Methods Ardi Tampuu Maksym Semikin Naveed Muhammad D. Fishman Tambet Matiisen 3DV 97 237 0 13 Mar 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 358 1,693 0 02 Feb 2020
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning Masha Itkina Katherine Driggs-Campbell Mykel J. Kochenderfer 45 33 0 28 Apr 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,551 0 20 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 78 446 0 12 Dec 2018
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks M. Schreiber S. Hörmann Klaus C. J. Dietmayer 68 66 0 11 Sep 2018
Learning to Drive in a Day Alex Kendall Jeffrey Hawke David Janz Przemyslaw Mazur Daniele Reda John M. Allen Vinh-Dieu Lam Alex Bewley Amar Shah 108 658 0 01 Jul 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 769 3,132 0 04 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 228 603 0 04 Jun 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 484 20,265 0 30 Oct 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 145 1,963 0 19 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 580 19,315 0 20 Jul 2017
Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling Stefan Hoermann Martin Bach Klaus C. J. Dietmayer 78 166 0 24 May 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 598 7,500 0 04 Apr 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 194 4,844 0 17 Mar 2017
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 286 12,467 0 24 Jun 2012