ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.10133
  4. Cited By
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
Interpretable Long Term Waypoint-Based Trajectory Prediction Model
Interpretable Long Term Waypoint-Based Trajectory Prediction Model
Amina Ghoul
Itheri Yahiaoui
F. Nashashibi
13
0
0
11 Dec 2023
Kraken: enabling joint trajectory prediction by utilizing Mode
  Transformer and Greedy Mode Processing
Kraken: enabling joint trajectory prediction by utilizing Mode Transformer and Greedy Mode Processing
D. Antonenko
S. Konev
Yuriy Biktairov
Boris Yangel
19
0
0
08 Dec 2023
Sim-to-Real Causal Transfer: A Metric Learning Approach to
  Causally-Aware Interaction Representations
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
Yuejiang Liu
Ahmad Rahimi
Po-Chien Luan
Frano Rajic
Alexandre Alahi
35
3
0
07 Dec 2023
Trajeglish: Traffic Modeling as Next-Token Prediction
Trajeglish: Traffic Modeling as Next-Token Prediction
Jonah Philion
Xue Bin Peng
Sanja Fidler
15
20
0
07 Dec 2023
MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR
MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR
Yi Gan
Hao Xiao
Yizhe Zhao
Ethan Zhang
Zhe Huang
Xin Ye
Lingting Ge
28
15
0
05 Dec 2023
Energy-based Potential Games for Joint Motion Forecasting and Control
Energy-based Potential Games for Joint Motion Forecasting and Control
Christopher P. Diehl
Tobias Klosek
Martin Krüger
Nils Murzyn
Timo Osterburg
Torsten Bertram
AI4CE
25
6
0
04 Dec 2023
RiskBench: A Scenario-based Benchmark for Risk Identification
RiskBench: A Scenario-based Benchmark for Risk Identification
Chi-Hsi Kung
Chieh-Chi Yang
Pang-Yuan Pao
Shu-Wei Lu
Pin-Lun Chen
Hsin-Cheng Lu
Yi-Ting Chen
39
5
0
04 Dec 2023
Towards Transferable Multi-modal Perception Representation Learning for
  Autonomy: NeRF-Supervised Masked AutoEncoder
Towards Transferable Multi-modal Perception Representation Learning for Autonomy: NeRF-Supervised Masked AutoEncoder
Xiaohao Xu
38
0
0
23 Nov 2023
InteRACT: Transformer Models for Human Intent Prediction Conditioned on
  Robot Actions
InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions
K. Kedia
Atiksh Bhardwaj
Prithwish Dan
Sanjiban Choudhury
24
9
0
21 Nov 2023
Tactics2D: A Highly Modular and Extensible Simulator for Driving
  Decision-making
Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making
Yueyuan Li
Songan Zhang
Mingyang Jiang
Xingyuan Chen
Yeqiang Qian
Chunxiang Wang
Ming Yang
38
1
0
18 Nov 2023
Choose Your Simulator Wisely: A Review on Open-source Simulators for
  Autonomous Driving
Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving
Yueyuan Li
Wei Yuan
Songan Zhang
Weihao Yan
Qiyuan Shen
Chunxiang Wang
Ming Yang
34
32
0
18 Nov 2023
Collaborative Grid Mapping for Moving Object Tracking Evaluation
Collaborative Grid Mapping for Moving Object Tracking Evaluation
Rémy Huet
A. Lima
Philippe Xu
V. Berge-Cherfaoui
P. Bonnifait
28
0
0
17 Nov 2023
VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for
  Highway Surveillance through Graph Isomorphism and Transformer
VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer
Armin Danesh Pazho
Ghazal Alinezhad Noghre
Vinit Katariya
Hamed Tabkhi
24
6
0
11 Nov 2023
Social Motion Prediction with Cognitive Hierarchies
Social Motion Prediction with Cognitive Hierarchies
Wentao Zhu
Jason Qin
Yuke Lou
Hang Ye
Xiaoxuan Ma
Hai Ci
Yizhou Wang
26
9
0
08 Nov 2023
LLM4Drive: A Survey of Large Language Models for Autonomous Driving
LLM4Drive: A Survey of Large Language Models for Autonomous Driving
Zhenjie Yang
Xiaosong Jia
Hongyang Li
Junchi Yan
ELM
36
94
0
02 Nov 2023
Learning Cooperative Trajectory Representations for Motion Forecasting
Learning Cooperative Trajectory Representations for Motion Forecasting
Hongzhi Ruan
Haibao Yu
Wen-Yen Yang
Siqi Fan
Yingjuan Tang
Zaiqing Nie
AI4TS
32
11
0
01 Nov 2023
Large Trajectory Models are Scalable Motion Predictors and Planners
Large Trajectory Models are Scalable Motion Predictors and Planners
Q. Sun
Shiduo Zhang
Danjiao Ma
Jingzhe Shi
Derun Li
Simian Luo
Yu Wang
Ningyi Xu
Guangzhi Cao
Hang Zhao
21
13
0
30 Oct 2023
Data-driven Traffic Simulation: A Comprehensive Review
Data-driven Traffic Simulation: A Comprehensive Review
Di Chen
Meixin Zhu
H. Yang
Xuesong Wang
Yinhai Wang
26
26
0
24 Oct 2023
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with
  Relative Pose Encoding
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding
Zhejun Zhang
Alexander Liniger
Christos Sakaridis
Fisher Yu
Luc Van Gool
58
30
0
19 Oct 2023
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving
Linrui Zhang
Zhenghao Peng
Quanyi Li
Bolei Zhou
AAML
36
26
0
19 Oct 2023
LiDAR-based 4D Occupancy Completion and Forecasting
LiDAR-based 4D Occupancy Completion and Forecasting
Xinhao Liu
Moonjun Gong
Qi Fang
Haoyu Xie
Yiming Li
Hang Zhao
Chen Feng
16
11
0
17 Oct 2023
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous
  Driving Research
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
Cole Gulino
Justin Fu
Wenjie Luo
George Tucker
Eli Bronstein
...
Brandyn White
Aleksandra Faust
R. McAllister
Drago Anguelov
Benjamin Sapp
39
90
0
12 Oct 2023
CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory
  Prediction Models for Autonomous Driving
CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving
Changhe Chen
Mozhgan Pourkeshavarz
Amir Rasouli
27
3
0
11 Oct 2023
Pixel State Value Network for Combined Prediction and Planning in
  Interactive Environments
Pixel State Value Network for Combined Prediction and Planning in Interactive Environments
Sascha Rosbach
Stefan M. Leupold
S. Großjohann
Stefan Roth
13
0
0
11 Oct 2023
Evaluating a VR System for Collecting Safety-Critical Vehicle-Pedestrian
  Interactions
Evaluating a VR System for Collecting Safety-Critical Vehicle-Pedestrian Interactions
Erica Weng
Kenta Mukoya
D. Ramanan
Kris M. Kitani
24
0
0
09 Oct 2023
The WayHome: Long-term Motion Prediction on Dynamically Scaled
The WayHome: Long-term Motion Prediction on Dynamically Scaled
Kay Scheerer
Thomas Michalke
Jürgen Mathes
18
0
0
06 Oct 2023
Learning-Aided Warmstart of Model Predictive Control in Uncertain
  Fast-Changing Traffic
Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic
Mohamed-Khalil Bouzidi
Yue Yao
Daniel Goehring
Joerg Reichardt
13
3
0
04 Oct 2023
Streaming Motion Forecasting for Autonomous Driving
Streaming Motion Forecasting for Autonomous Driving
Ziqi Pang
Deva Ramanan
Mengtian Li
Yu-xiong Wang
AI4TS
26
6
0
02 Oct 2023
Offline Tracking with Object Permanence
Offline Tracking with Object Permanence
Xianzhong Liu
Holger Caesar
OffRL
VOT
18
1
0
02 Oct 2023
Robots That Can See: Leveraging Human Pose for Trajectory Prediction
Robots That Can See: Leveraging Human Pose for Trajectory Prediction
Tim Salzmann
Hao-Tien Lewis Chiang
Markus Ryll
Dorsa Sadigh
Carolina Parada
Alex Bewley
22
18
0
29 Sep 2023
GAIA-1: A Generative World Model for Autonomous Driving
GAIA-1: A Generative World Model for Autonomous Driving
Masane Fuchi
Lloyd Russell
Hudson Yeo
Zak Murez
Hiroto Minami
Alex Kendall
Tomohiro Takagi
Gianluca Corrado
VGen
28
215
0
29 Sep 2023
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
Ari Seff
Brian Cera
Dian Chen
Mason Ng
Aurick Zhou
Nigamaa Nayakanti
Khaled S. Refaat
Rami Al-Rfou
Benjamin Sapp
17
91
0
28 Sep 2023
Semantic Map Learning of Traffic Light to Lane Assignment based on
  Motion Data
Semantic Map Learning of Traffic Light to Lane Assignment based on Motion Data
T. Monninger
A. Weber
Steffen Staab
21
0
0
26 Sep 2023
DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from
  Scratch
DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch
Shuo Sun
Zekai Gu
Tianchen Sun
Jiawei Sun
Chengran Yuan
Yuhang Han
Dongen Li
Marcelo H ANG Jr
30
14
0
26 Sep 2023
Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous
  Driving via Differentiable Multi-Sensor Kalman Filter
Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter
Hsu-kuang Chiu
Chien-Yi Wang
Min-Hung Chen
Stephen F. Smith
11
3
0
26 Sep 2023
Hierarchical Imitation Learning for Stochastic Environments
Hierarchical Imitation Learning for Stochastic Environments
Maximilian Igl
Punit Shah
Paul Mougin
S. Srinivasan
Tarun Gupta
Brandyn White
K. Shiarlis
Shimon Whiteson
OOD
17
2
0
25 Sep 2023
Scene Informer: Anchor-based Occlusion Inference and Trajectory
  Prediction in Partially Observable Environments
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments
Bernard Lange
Jiacheng Li
Mykel J. Kochenderfer
31
10
0
25 Sep 2023
Boosting Offline Reinforcement Learning for Autonomous Driving with
  Hierarchical Latent Skills
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills
Zenan Li
Fan Nie
Q. Sun
Fang Da
Hang Zhao
OffRL
33
6
0
24 Sep 2023
Pre-training on Synthetic Driving Data for Trajectory Prediction
Pre-training on Synthetic Driving Data for Trajectory Prediction
Yiheng Li
Seth Z. Zhao
Chenfeng Xu
Chen Tang
Chenran Li
Mingyu Ding
M. Tomizuka
Wei Zhan
32
11
0
18 Sep 2023
Guided Online Distillation: Promoting Safe Reinforcement Learning by
  Offline Demonstration
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
Jinning Li
Xinyi Liu
Banghua Zhu
Jiantao Jiao
M. Tomizuka
Chen Tang
Wei Zhan
OffRL
OnRL
61
9
0
18 Sep 2023
RMP: A Random Mask Pretrain Framework for Motion Prediction
RMP: A Random Mask Pretrain Framework for Motion Prediction
Yi Yang
Qingwen Zhang
Thomas Gilles
Nazre Batool
John Folkesson
48
5
0
16 Sep 2023
SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory
  Prediction in Autonomous Driving
SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving
Ben Stoler
Ingrid Navarro
Meghdeep Jana
Soonmin Hwang
Jonathan M Francis
Jean Oh
16
8
0
16 Sep 2023
PBP: Path-based Trajectory Prediction for Autonomous Driving
PBP: Path-based Trajectory Prediction for Autonomous Driving
Sepideh Afshar
Nachiket Deo
A. Bhagat
Titas Chakraborty
Yunming Shao
Balarama Raju Buddharaju
Adwait Deshpande
Henggang Cui
26
2
0
07 Sep 2023
Efficient Baselines for Motion Prediction in Autonomous Driving
Efficient Baselines for Motion Prediction in Autonomous Driving
Carlos Gómez-Huélamo
Marcos V. Conde
R. Barea
Manuel Ocaña
L. Bergasa
19
4
0
06 Sep 2023
Deception Game: Closing the Safety-Learning Loop in Interactive Robot
  Autonomy
Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy
Haimin Hu
Zixu Zhang
Kensuke Nakamura
Andrea V. Bajcsy
J. F. Fisac
24
12
0
03 Sep 2023
On a Connection between Differential Games, Optimal Control, and
  Energy-based Models for Multi-Agent Interactions
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions
Christopher P. Diehl
Tobias Klosek
Martin Krüger
Nils Murzyn
Torsten Bertram
AI4CE
28
5
0
31 Aug 2023
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with
  Masked Autoencoders
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
Jie-Zhi Cheng
Xiaodong Mei
Ming-Yu Liu
12
55
0
19 Aug 2023
UniTR: A Unified and Efficient Multi-Modal Transformer for
  Bird's-Eye-View Representation
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation
Haiyang Wang
Hao Tang
Shaoshuai Shi
Aoxue Li
Zhenguo Li
Bernt Schiele
Liwei Wang
ViT
30
56
0
15 Aug 2023
Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed
  Environments: A Systematic Review
Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review
Mahsa Golchoubian
M. Ghafurian
Kerstin Dautenhahn
N. L. Azad
19
37
0
11 Aug 2023
Objects do not disappear: Video object detection by single-frame object
  location anticipation
Objects do not disappear: Video object detection by single-frame object location anticipation
X. Liu
F. Karimi Nejadasl
J. C. V. Gemert
O. Booij
S. Pintea
19
5
0
09 Aug 2023
Previous
1234567
Next