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Large Scale Interactive Motion Forecasting for Autonomous Driving : The
  Waymo Open Motion Dataset

Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset

20 April 2021
Scott Ettinger
Shuyang Cheng
Benjamin Caine
Chenxi Liu
Hang Zhao
Sabeek Pradhan
Yuning Chai
Benjamin Sapp
C. Qi
Yin Zhou
Zoey Yang
Aurelien Chouard
Pei Sun
Jiquan Ngiam
Vijay Vasudevan
Alexander McCauley
Jonathon Shlens
Drago Anguelov
ArXivPDFHTML

Papers citing "Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset"

50 / 339 papers shown
Title
Remember and Recall: Associative-Memory-based Trajectory Prediction
Remember and Recall: Associative-Memory-based Trajectory Prediction
Hang Guo
Yuzhen Zhang
Tianci Gao
Junning Su
Pei Lv
Mingliang Xu
32
0
0
03 Oct 2024
Computational Teaching for Driving via Multi-Task Imitation Learning
Computational Teaching for Driving via Multi-Task Imitation Learning
Deepak Gopinath
Xiongyi Cui
Jonathan A. DeCastro
Emily S. Sumner
Jean Costa
...
Sheryl Chau
John Leonard
Tiffany Chen
Guy Rosman
Avinash Balachandran
38
1
0
02 Oct 2024
High and Low Resolution Tradeoffs in Roadside Multimodal Sensing
High and Low Resolution Tradeoffs in Roadside Multimodal Sensing
Shaozu Ding
Yihong Tang
Marco De Vincenzi
Dajiang Suo
65
0
0
02 Oct 2024
Learning to Drive via Asymmetric Self-Play
Learning to Drive via Asymmetric Self-Play
Chris Zhang
Sourav Biswas
Kelvin Wong
Kion Fallah
Lunjun Zhang
Dian Chen
Sergio Casas
R. Urtasun
44
0
0
26 Sep 2024
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous
  Driving
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
Haochen Liu
Li Chen
Yu Qiao
Chen Lv
Hongyang Li
33
3
0
26 Sep 2024
Data-driven Probabilistic Trajectory Learning with High Temporal
  Resolution in Terminal Airspace
Data-driven Probabilistic Trajectory Learning with High Temporal Resolution in Terminal Airspace
Jun Xiang
Jun Chen
21
1
0
25 Sep 2024
Efficient Motion Prediction: A Lightweight & Accurate Trajectory
  Prediction Model With Fast Training and Inference Speed
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference Speed
Alexander Prutsch
Horst Bischof
Horst Possegger
34
2
0
24 Sep 2024
Learning Multiple Probabilistic Decisions from Latent World Model in
  Autonomous Driving
Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous Driving
Lingyu Xiao
Jiang-Jiang Liu
Sen Yang
Xiaofan Li
Xiaoqing Ye
Wankou Yang
Jingdong Wang
36
0
0
24 Sep 2024
Controllable Traffic Simulation through LLM-Guided Hierarchical
  Chain-of-Thought Reasoning
Controllable Traffic Simulation through LLM-Guided Hierarchical Chain-of-Thought Reasoning
Zhiyuan Liu
Leheng Li
Yuning Wang
Haotian Lin
Zhizhe Liu
Lei He
Jianqiang Wang
LRM
31
2
0
23 Sep 2024
S2O: An Integrated Driving Decision-making Performance Evaluation Method
  Bridging Subjective Feeling to Objective Evaluation
S2O: An Integrated Driving Decision-making Performance Evaluation Method Bridging Subjective Feeling to Objective Evaluation
Yuning Wang
Zehong Ke
Yanbo Jiang
Jinhao Li
Shaobing Xu
John M. Dolan
Jianqiang Wang
22
0
0
23 Sep 2024
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving
Ehsan Ahmadi
Ray Coden Mercurius
Soheil Alizadeh
K. Rezaee
Amir Rasouli
AAML
41
0
0
23 Sep 2024
Velocity Field: An Informative Traveling Cost Representation for
  Trajectory Planning
Velocity Field: An Informative Traveling Cost Representation for Trajectory Planning
Ren Xin
Jie-Zhi Cheng
Sheng Wang
Ming Liu
24
2
0
20 Sep 2024
Robots that Learn to Safely Influence via Prediction-Informed
  Reach-Avoid Dynamic Games
Robots that Learn to Safely Influence via Prediction-Informed Reach-Avoid Dynamic Games
Ravi Pandya
Changliu Liu
Andrea V. Bajcsy
36
1
0
18 Sep 2024
RMP-YOLO: A Robust Motion Predictor for Partially Observable Scenarios
  even if You Only Look Once
RMP-YOLO: A Robust Motion Predictor for Partially Observable Scenarios even if You Only Look Once
Jiawei Sun
Jiahui Li
Tingchen Liu
Chengran Yuan
Shuo Sun
Zefan Huang
Anthony Wong
K. P. Tee
Marcelo H. Ang Jr
38
2
0
18 Sep 2024
High-Order Evolving Graphs for Enhanced Representation of Traffic
  Dynamics
High-Order Evolving Graphs for Enhanced Representation of Traffic Dynamics
Aditya Humnabadkar
Arindam Sikdar
Benjamin Cave
Huaizhong Zhang
P. Bakaki
Ardhendu Behera
30
0
0
17 Sep 2024
Realistic Extreme Behavior Generation for Improved AV Testing
Realistic Extreme Behavior Generation for Improved AV Testing
Robert Dyro
Matthew Foutter
Ruolin Li
L. D. Lillo
Edward Schmerling
Xilin Zhou
Marco Pavone
AAML
33
1
0
16 Sep 2024
Motion Forecasting via Model-Based Risk Minimization
Motion Forecasting via Model-Based Risk Minimization
Aron Distelzweig
Eitan Kosman
Andreas Look
Faris Janjoš
Denesh K. Manivannan
Abhinav Valada
34
3
0
16 Sep 2024
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
Benjamin Stoler
Ingrid Navarro
Jonathan M Francis
Jean Oh
AAML
60
4
0
16 Sep 2024
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation
Asen Nachkov
Danda Pani Paudel
Luc Van Gool
34
0
0
12 Sep 2024
ReGentS: Real-World Safety-Critical Driving Scenario Generation Made
  Stable
ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable
Yuan Yin
Pegah Khayatan
Éloi Zablocki
Alexandre Boulch
Matthieu Cord
47
2
0
12 Sep 2024
Promptable Closed-loop Traffic Simulation
Promptable Closed-loop Traffic Simulation
Shuhan Tan
Boris Ivanovic
Yuxiao Chen
Boyi Li
Xinshuo Weng
Yulong Cao
Philipp Krahenbuhl
Marco Pavone
34
5
0
09 Sep 2024
Modeling Drivers' Risk Perception via Attention to Improve Driving
  Assistance
Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance
Abhijat Biswas
John Gideon
Kimimasa Tamura
Guy Rosman
34
0
0
07 Sep 2024
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised
  3D Domain Adaptation
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
Björn Michele
Alexandre Boulch
Tuan-Hung Vu
Gilles Puy
Renaud Marlet
Nicolas Courty
TTA
36
0
0
06 Sep 2024
Improving Thompson Sampling via Information Relaxation for Budgeted
  Multi-armed Bandits
Improving Thompson Sampling via Information Relaxation for Budgeted Multi-armed Bandits
Woojin Jeong
Seungki Min
55
0
0
28 Aug 2024
LLMI3D: MLLM-based 3D Perception from a Single 2D Image
LLMI3D: MLLM-based 3D Perception from a Single 2D Image
Fan Yang
Sicheng Zhao
Yanhao Zhang
Haoxiang Chen
Hui Chen
Wenbo Tang
Guiguang Ding
38
4
0
14 Aug 2024
HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds
  From Heterogeneous LiDAR Sensors
HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors
Hyungtae Lim
Seoyeon Jang
Benedikt Mersch
Jens Behley
Hyun Myung
Cyrill Stachniss
34
6
0
12 Aug 2024
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
Saman Kazemkhani
Aarav Pandya
Daphne Cornelisse
Brennan Shacklett
Eugene Vinitsky
44
8
0
02 Aug 2024
SceneMotion: From Agent-Centric Embeddings to Scene-Wide Forecasts
SceneMotion: From Agent-Centric Embeddings to Scene-Wide Forecasts
Mingshuo Liu
Shiyi Luo
Marlon Steiner
Fabian Konstantinidis
Hendrik Konigshof
Marvin Klemp
Carlos Fernandez
Christoph Stiller
46
2
0
02 Aug 2024
Data-Driven Traffic Simulation for an Intersection in a Metropolis
Data-Driven Traffic Simulation for an Intersection in a Metropolis
Haoyuan Chen
Mehmet Kerem Turkcan
Gil Zussman
Javad Ghaderi
Z. Kostić
35
0
0
01 Aug 2024
MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous
  Vehicle Environment with Multi-source Data Integration
MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration
Xi Chen
Rahul Bhadani
Zhanbo Sun
Larry Head
27
1
0
31 Jul 2024
Self-supervised Multi-future Occupancy Forecasting for Autonomous
  Driving
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving
Bernard Lange
Masha Itkina
Jiachen Li
Mykel J. Kochenderfer
34
4
0
30 Jul 2024
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based
  Transfer Imitation Learning
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning
Fangze Lin
Ying He
Fei Yu
42
0
0
26 Jul 2024
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios
Qingfan Wang
Dongyang Xu
Gaoyuan Kuang
Chen Lv
Shengbo Eben Li
Bingbing Nie
32
2
0
18 Jul 2024
Adaptive Prediction Ensemble: Improving Out-of-Distribution
  Generalization of Motion Forecasting
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting
Jinning Li
Jiachen Li
Sangjae Bae
David Isele
39
4
0
12 Jul 2024
Position: Measure Dataset Diversity, Don't Just Claim It
Position: Measure Dataset Diversity, Don't Just Claim It
Dora Zhao
Jerone T. A. Andrews
Orestis Papakyriakopoulos
Alice Xiang
64
14
0
11 Jul 2024
Exploring Camera Encoder Designs for Autonomous Driving Perception
Exploring Camera Encoder Designs for Autonomous Driving Perception
Barath Lakshmanan
Joshua Chen
Shiyi Lan
Maying Shen
Zhiding Yu
Jose M. Alvarez
42
0
0
09 Jul 2024
Accelerating Online Mapping and Behavior Prediction via Direct BEV
  Feature Attention
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention
Xunjiang Gu
Guanyu Song
Igor Gilitschenski
Marco Pavone
Boris Ivanovic
47
4
0
09 Jul 2024
GenFollower: Enhancing Car-Following Prediction with Large Language
  Models
GenFollower: Enhancing Car-Following Prediction with Large Language Models
Xianda Chen
Mingxing Peng
PakHin Tiu
Yuanfei Wu
Junjie Chen
Meixin Zhu
Xinhu Zheng
46
6
0
08 Jul 2024
JaywalkerVR: A VR System for Collecting Safety-Critical
  Pedestrian-Vehicle Interactions
JaywalkerVR: A VR System for Collecting Safety-Critical Pedestrian-Vehicle Interactions
Kenta Mukoya
Erica Weng
Rohan Choudhury
Kris Kitani
37
0
0
05 Jul 2024
WOMD-Reasoning: A Large-Scale Language Dataset for Interaction and
  Driving Intentions Reasoning
WOMD-Reasoning: A Large-Scale Language Dataset for Interaction and Driving Intentions Reasoning
Yiheng Li
Chongjian Ge
Chenran Li
Chenfeng Xu
M. Tomizuka
Chen Tang
Mingyu Ding
Wei Zhan
VGen
LRM
37
0
0
05 Jul 2024
Solving Motion Planning Tasks with a Scalable Generative Model
Solving Motion Planning Tasks with a Scalable Generative Model
Yihan Hu
Siqi Chai
Zhening Yang
Jingyu Qian
Kun Li
Wenxin Shao
Haichao Zhang
Wei-ping Xu
Qiang Liu
48
17
0
03 Jul 2024
Model Predictive Simulation Using Structured Graphical Models and
  Transformers
Model Predictive Simulation Using Structured Graphical Models and Transformers
Xinghua Lou
Meet Dave
Shrinu Kushagra
Miguel Lazaro-Gredilla
Kevin Murphy
34
0
0
28 Jun 2024
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field
  Prediction with Future Context Encoding
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding
Mingkun Wang
Xiaoguang Ren
Ruochun Jin
Minglong Li
Xiaochuan Zhang
Changqian Yu
Mingxu Wang
Wenjing Yang
48
1
0
20 Jun 2024
Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent
  Motion-Forecasting
Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecasting
Hunter Schofield
Hamidreza Mirkhani
Mohammed Elmahgiubi
Kasra Rezaee
Jinjun Shan
VGen
49
0
0
20 Jun 2024
Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers
Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers
Omer Sahin Tas
Royden Wagner
56
1
0
17 Jun 2024
Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset
Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset
Yiming Li
Zhiheng Li
Nuo Chen
Moonjun Gong
Zonglin Lyu
Zehong Wang
Peili Jiang
Chen Feng
29
10
0
13 Jun 2024
Valeo4Cast: A Modular Approach to End-to-End Forecasting
Valeo4Cast: A Modular Approach to End-to-End Forecasting
Yihong Xu
Éloi Zablocki
Alexandre Boulch
Gilles Puy
Mickaël Chen
...
Tuan-Hung Vu
Andrei Bursuc
Eduardo Valle
Renaud Marlet
Matthieu Cord
44
1
0
12 Jun 2024
ROADWork Dataset: Learning to Recognize, Observe, Analyze and Drive
  Through Work Zones
ROADWork Dataset: Learning to Recognize, Observe, Analyze and Drive Through Work Zones
Anurag Ghosh
R. Tamburo
Shen Zheng
Juan R. Alvarez-Padilla
Hailiang Zhu
Michael Cardei
Nicholas Dunn
Christoph Mertz
Srinivasa G. Narasimhan
44
1
0
11 Jun 2024
iMotion-LLM: Motion Prediction Instruction Tuning
iMotion-LLM: Motion Prediction Instruction Tuning
Abdulwahab Felemban
Eslam Mohamed Bakr
Xiaoqian Shen
Jian Ding
Abduallah A. Mohamed
Mohamed Elhoseiny
58
1
0
10 Jun 2024
DeTra: A Unified Model for Object Detection and Trajectory Forecasting
DeTra: A Unified Model for Object Detection and Trajectory Forecasting
Sergio Casas
Ben Agro
Jiageng Mao
Thomas Gilles
Alexander Cui
Thomas Li
R. Urtasun
29
5
0
06 Jun 2024
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