Title
MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving S. Konev Kirill Brodt A. Sanakoyeu 3DPC 45 39 0 05 Jun 2022
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving Jinkyu Kim R. Mahjourian Scott Ettinger Mayank Bansal Brandyn White Benjamin Sapp Drago Anguelov 15 23 0 02 Jun 2022
KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction Qiujing Lu Weiqiao Han Jeffrey Ling Minfa Wang Haoyu Chen Balakrishnan Varadarajan Paul Covington 14 13 0 10 May 2022
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation Maximilian Igl Daewoo Kim Alex Kuefler Paul Mougin Punit Shah K. Shiarlis Drago Anguelov Mark Palatucci Brandyn White Shimon Whiteson 35 64 0 06 May 2022
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding Xiaosong Jia Peng Wu Li Chen Y. Liu Hongyang Li Junchi Yan 26 120 0 30 Apr 2022
Control-Aware Prediction Objectives for Autonomous Driving R. McAllister Blake Wulfe Jean-Pierre Mercat Logan Ellis Sergey Levine Adrien Gaidon 32 21 0 28 Apr 2022
A Pre-study on Data Processing Pipelines for Roadside Object Detection Systems Towards Safer Road Infrastructure Y. Yu Samuel Scheidegger John-Fredrik Grönvall Magnus Palm Erik Svanberg Johan Amoruso Wennerby J. Bakker 19 0 0 17 Apr 2022
A9-Dataset: Multi-Sensor Infrastructure-Based Dataset for Mobility Research Christian Creß Walter Zimmer Leah Strand Venkatnarayanan Lakshminarasimhan Maximilian Fortkord Siyi Dai Alois C. Knoll 28 63 0 13 Apr 2022
Bootstrap Motion Forecasting With Self-Consistent Constraints Maosheng Ye Jiamiao Xu Xun Xu Tengfei Wang Tongyi Cao Qifeng Chen 33 19 0 12 Apr 2022
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models J. Vázquez Alexander Liniger Wilko Schwarting Daniela Rus Luc Van Gool 24 45 0 05 Apr 2022
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction Lingfeng Sun Chen Tang Yaru Niu Enna Sachdeva Chiho Cho Teruhisa Misu M. Tomizuka Wei Zhan 21 15 0 28 Mar 2022
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving R. Mahjourian Jinkyu Kim Yuning Chai Mingxing Tan Benjamin Sapp Drago Anguelov 18 78 0 08 Mar 2022
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction Q. Sun Xin Huang Junru Gu B. Williams Hang Zhao 18 105 0 24 Feb 2022
V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving Yiming Li Dekun Ma Ziyan An Zixun Wang Yiqi Zhong Siheng Chen Chen Feng 22 216 0 17 Feb 2022
Ad-datasets: a meta-collection of data sets for autonomous driving Daniel Bogdoll Felix Schreyer J. Marius Zöllner 34 16 0 03 Feb 2022
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior Davis Rempe Jonah Philion Leonidas J. Guibas Sanja Fidler Or Litany 34 129 0 09 Dec 2021
Vehicle trajectory prediction works, but not everywhere Mohammadhossein Bahari Saeed Saadatnejad Ahmad Rahimi Mohammad Shaverdikondori M. Shahidzadeh Seyed-Mohsen Moosavi-Dezfooli Alexandre Alahi OffRL 23 51 0 07 Dec 2021
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car Tina Chen Taotao Jing Renran Tian Yaobin Chen Joshua E. Domeyer Heishiro Toyoda Rini Sherony Zhengming Ding 31 23 0 05 Dec 2021
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction Balakrishnan Varadarajan Ahmed S. Hefny A. Srivastava Khaled S. Refaat Nigamaa Nayakanti ... K. Chen B. Douillard C. Lam Drago Anguelov Benjamin Sapp 35 307 0 29 Nov 2021
Trajectory Prediction with Graph-based Dual-scale Context Fusion Lu Zhang Peiliang Li Jing Chen Shaojie Shen 28 28 0 02 Nov 2021
Trajectory Prediction with Linguistic Representations Yen-Ling Kuo Xin Huang Andrei Barbu Stephen G. McGill Boris Katz J. Leonard Guy Rosman 31 17 0 19 Oct 2021
TIP: Task-Informed Motion Prediction for Intelligent Vehicles Xin Huang Guy Rosman A. Jasour Stephen G. McGill J. Leonard B. Williams 40 15 0 17 Oct 2021
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling Thomas Gilles S. Sabatini D. Tsishkou B. Stanciulescu Fabien Moutarde 25 129 0 13 Oct 2021
METEOR:A Dense, Heterogeneous, and Unstructured Traffic Dataset With Rare Behaviors Rohan Chandra Xijun Wang Mridul Mahajan Rahul Kala Rishitha Palugulla Chandrababu Naidu Alok Jain Tianyi Zhou 34 15 0 16 Sep 2021
Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids Christoforos Mavrogiannis Jonathan A. DeCastro S. Srinivasa AI4CE 21 6 0 15 Sep 2021
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation Thomas Gilles S. Sabatini D. Tsishkou B. Stanciulescu Fabien Moutarde 3DH 29 230 0 04 Sep 2021
DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets Junru Gu Chen Sun Hang Zhao 29 407 0 22 Aug 2021
Real-Time Anchor-Free Single-Stage 3D Detection with IoU-Awareness Runzhou Ge Zhuangzhuang Ding Yihan Hu Wenxin Shao Li Huang Kun Li Qiang Liu 3DPC 27 8 0 29 Jul 2021
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization Chiyuan Zhang M. Raghu Jon M. Kleinberg Samy Bengio OOD 32 30 0 27 Jul 2021
DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place Solution Junru Gu Q. Sun Hang Zhao 16 18 0 27 Jun 2021
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles Holger Caesar Juraj Kabzan Kok Seang Tan Whye Kit Fong Eric M. Wolff A. Lang L. Fletcher Oscar Beijbom Sammy Omari 35 273 0 22 Jun 2021
Scene Transformer: A unified architecture for predicting multiple agent trajectories Jiquan Ngiam Benjamin Caine Vijay Vasudevan Zhengdong Zhang H. Chiang ... Ashish Venugopal David J. Weiss Benjamin Sapp Zhifeng Chen Jonathon Shlens 22 154 0 15 Jun 2021
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale Fan Lai Yinwei Dai Sanjay Sri Vallabh Singapuram Jiachen Liu Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML 40 194 0 24 May 2021
Identifying Driver Interactions via Conditional Behavior Prediction Ekaterina V. Tolstaya R. Mahjourian Carlton Downey Balakrishnan Varadarajan Benjamin Sapp Drago Anguelov 127 71 0 20 Apr 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 163 365 0 20 Jan 2021
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds Binh Yang Min Bai Ming Liang Wenyuan Zeng R. Urtasun 3DPC 118 49 0 17 Jan 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors Simon Suo S. Regalado Sergio Casas R. Urtasun 151 224 0 17 Jan 2021
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 161 155 0 23 Jul 2020
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data Sergio Casas Cole Gulino Renjie Liao R. Urtasun AI4CE 174 211 0 18 Oct 2019