Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data

IEEE International Conference on Robotics and Automation (ICRA), 2019

18 October 2019

Papers citing "Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data"

39 / 139 papers shown

Title
TrafficSim: Learning to Simulate Realistic Multi-Agent BehaviorsComputer Vision and Pattern Recognition (CVPR), 2021 Simon Suo S. Regalado Sergio Casas R. Urtasun 364 276 0 17 Jan 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-DrivingIEEE International Conference on Computer Vision (ICCV), 2021 Alexander Cui Sergio Casas Abbas Sadat Renjie Liao R. Urtasun 390 152 0 16 Jan 2021
TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Tracking Akshay Rangesh Pranav Maheshwari Mez Gebre Siddhesh Mhatre V. Ramezani Mohan M. Trivedi VOT 299 41 0 11 Jan 2021
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting Katie Z Luo Sergio Casas Renjie Liao Xinchen Yan Yuwen Xiong Wenyuan Zeng R. Urtasun 144 6 0 07 Jan 2021
Binary Graph Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2020 Mehdi Bahri Gaétan Bahl Stefanos Zafeiriou GNN AI4CE 247 58 0 31 Dec 2020
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2020 Renjie Liao R. Urtasun R. Zemel 203 102 0 14 Dec 2020
Self-Growing Spatial Graph Network for Context-Aware Pedestrian Trajectory PredictionInternational Conference on Information Photonics (ICIP), 2020 Sirin Haddad S. Lam GNN 180 10 0 11 Dec 2020
Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary LossIEEE Robotics and Automation Letters (RA-L), 2020 Ross Greer Nachiket Deo Mohan M. Trivedi 333 53 0 12 Nov 2020
Universal Embeddings for Spatio-Temporal Tagging of Self-Driving LogsConference on Robot Learning (CoRL), 2020 Sean Segal Eric Kee Wenjie Luo Abbas Sadat Ersin Yumer R. Urtasun 105 11 0 12 Nov 2020
Ellipse Loss for Scene-Compliant Motion Prediction Henggang Cui Hoda Shajari S. Yalamanchi Nemanja Djuric 169 5 0 05 Nov 2020
Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models Henggang Cui Fang-Chieh Chou Jake Charland Carlos Vallespi-Gonzalez Nemanja Djuric 131 1 0 05 Nov 2020
IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data Xiaosong Jia Liting Sun Masayoshi Tomizuka Wei Zhan 186 28 0 04 Nov 2020
LTN: Long-Term Network for Long-Term Motion Prediction Yingqiao Wang 126 3 0 15 Oct 2020
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar FusionConference on Robot Learning (CoRL), 2020 Meet Shah Zhi-ling Huang A. Laddha Matthew Langford B. Barber Sidney Zhang Carlos Vallespi-Gonzalez R. Urtasun 267 39 0 02 Oct 2020
Interaction-Based Trajectory Prediction Over a Hybrid Traffic GraphIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 Sumit Kumar Yiming Gu Jerrick Hoang G. C. Haynes Micol Marchetti-Bowick 157 31 0 27 Sep 2020
MATS: An Interpretable Trajectory Forecasting Representation for Planning and ControlConference on Robot Learning (CoRL), 2020 Boris Ivanovic Amine Elhafsi Guy Rosman Adrien Gaidon Marco Pavone 187 55 0 16 Sep 2020
Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous DrivingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Sudeep Fadadu Shreyash Pandey Darshan Hegde Yi Shi Fang-Chieh Chou Nemanja Djuric Carlos Vallespi-Gonzalez 3DPC 192 85 0 27 Aug 2020
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction Tsun-Hsuan Wang S. Manivasagam Ming Liang Binh Yang Wenyuan Zeng James Tu R. Urtasun 213 510 0 17 Aug 2020
DSDNet: Deep Structured self-Driving Network Wenyuan Zeng Shenlong Wang Renjie Liao Yun Chen Binh Yang R. Urtasun 179 110 0 13 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 233 222 0 13 Aug 2020
End-to-end Contextual Perception and Prediction with Interaction Transformer Lingyun Luke Li Binh Yang Ming Liang Wenyuan Zeng Mengye Ren Sean Segal R. Urtasun ViT 195 128 0 13 Aug 2020
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder ApproachIEEE Robotics and Automation Letters (RA-L), 2020 Boris Ivanovic Karen Leung Edward Schmerling Marco Pavone VGen DRL 209 119 0 10 Aug 2020
Imitative Planning using Conditional Normalizing Flow Shubhankar Agarwal Harshit S. Sikchi Cole Gulino Eric Wilkinson Shivam Gautam 238 6 0 31 Jul 2020
Learning Lane Graph Representations for Motion ForecastingEuropean Conference on Computer Vision (ECCV), 2020 Ming Liang Binh Yang Rui Hu Yun Chen Renjie Liao Song Feng R. Urtasun 229 692 0 27 Jul 2020
Implicit Latent Variable Model for Scene-Consistent Motion ForecastingEuropean Conference on Computer Vision (ECCV), 2020 Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 355 179 0 23 Jul 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning Xuebin Zheng Bingxin Zhou Ming Li Yu Guang Wang Junbin Gao 152 2 0 22 Jul 2020
Vehicle Trajectory Prediction by Transfer Learning of Semi-Supervised Models Nick Lamm Shashank Jaiprakash Malavika Srikanth Iddo Drori 244 7 0 14 Jul 2020
One Thousand and One Hours: Self-driving Motion Prediction Dataset J. Houston G. Zuidhof Luca Bergamini Yawei Ye Long Chen Ashesh Jain Sammy Omari V. Iglovikov Peter Ondruska 266 430 0 25 Jun 2020
Motion Prediction using Trajectory Sets and Self-Driving Domain Knowledge Freddy A. Boulton E. Grigore Eric M. Wolff 161 13 0 08 Jun 2020
The Importance of Prior Knowledge in Precise Multimodal PredictionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 Sergio Casas Cole Gulino Simon Suo R. Urtasun 120 44 0 04 Jun 2020
MultiXNet: Multiclass Multistage Multimodal Motion Prediction Nemanja Djuric Henggang Cui Zhaoen Su Shangxuan Wu Huahua Wang ... Sidney Zhang Brian C. Becker Gregory P. Meyer Carlos Vallespi-Gonzalez Carl K. Wellington 3DPC 369 54 0 03 Jun 2020
PnPNet: End-to-End Perception and Prediction with Tracking in the LoopComputer Vision and Pattern Recognition (CVPR), 2020 Ming Liang Binh Yang Wenyuan Zeng Yun Chen Rui Hu Sergio Casas R. Urtasun 182 211 0 29 May 2020
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting A. Laddha Shivam Gautam Gregory P. Meyer Carlos Vallespi-Gonzalez Carl K. Wellington 3DPC 205 19 0 21 May 2020
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction Yeping Hu Wei Zhan Masayoshi Tomizuka 274 42 0 07 Apr 2020
LaserFlow: Efficient and Probabilistic Object Detection and Motion ForecastingIEEE Robotics and Automation Letters (RA-L), 2020 Gregory P. Meyer Jake Charland Shreyash Pandey A. Laddha Shivam Gautam Carlos Vallespi-Gonzalez Carl K. Wellington 3DPC 162 45 0 12 Mar 2020
PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving Thibault Buhet É. Wirbel Andrei Bursuc Xavier Perrotton 160 33 0 09 Mar 2020
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data Tim Salzmann Boris Ivanovic Punarjay Chakravarty Marco Pavone 294 138 0 09 Jan 2020
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks Donsuk Lee Yiming Gu Jerrick Hoang Micol Marchetti-Bowick GNN 120 41 0 17 Dec 2019
nuScenes: A multimodal dataset for autonomous driving Holger Caesar Varun Bankiti Alex H. Lang Sourabh Vora Venice Erin Liong Qiang Xu Anush Krishnan Yuxin Pan G. Baldan Oscar Beijbom 3DPC 879 7,088 0 26 Mar 2019