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Wayformer: Motion Forecasting via Simple & Efficient Attention Networks

Wayformer: Motion Forecasting via Simple & Efficient Attention Networks

12 July 2022
Nigamaa Nayakanti
Rami Al-Rfou
Aurick Zhou
Kratarth Goel
Khaled S. Refaat
Benjamin Sapp
    AI4TS
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Papers citing "Wayformer: Motion Forecasting via Simple & Efficient Attention Networks"

50 / 163 papers shown
Title
VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual
  Descriptions
VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions
Seokha Moon
Hyun Woo
Hongbeen Park
Haeji Jung
R. Mahjourian
Hyung-Gun Chi
Hyerin Lim
Sangpil Kim
Jinkyu Kim
29
5
0
17 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
41
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
27
0
0
28 Jun 2024
A Multi-Stage Goal-Driven Network for Pedestrian Trajectory Prediction
A Multi-Stage Goal-Driven Network for Pedestrian Trajectory Prediction
Xiuen Wu
Tao Wang
Yuanzheng Cai
Lingyu Liang
G. Papageorgiou
23
1
0
26 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
35
1
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
44
1
0
17 Jun 2024
TrafficBots V1.5: Traffic Simulation via Conditional VAEs and
  Transformers with Relative Pose Encoding
TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding
Zhejun Zhang
Christos Sakaridis
Luc Van Gool
23
6
0
16 Jun 2024
CIMRL: Combining IMitation and Reinforcement Learning for Safe
  Autonomous Driving
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving
Jonathan Booher
Khashayar Rohanimanesh
Junhong Xu
Vladislav Isenbaev
Ashwin Balakrishna
Ishan Gupta
Wei Liu
Aleksandr Petiushko
OffRL
24
6
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
36
1
0
12 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
45
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
21
5
0
06 Jun 2024
Exploring Real World Map Change Generalization of Prior-Informed HD Map
  Prediction Models
Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models
Samuel M. Bateman
Ning Xu
H. C. Zhao
Yael Ben Shalom
Vince Gong
Greg Long
Will Maddern
30
4
0
04 Jun 2024
A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory
  Prediction
A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction
Zhanbo Sun
Caiyin Dong
Ang Ji
Ruibin Zhao
Yu Zhao
39
0
0
30 May 2024
Predicting Long-Term Human Behaviors in Discrete Representations via
  Physics-Guided Diffusion
Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided Diffusion
Zhitian Zhang
Anjian Li
Angelica Lim
Mo Chen
28
3
0
29 May 2024
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with
  Next-Patch Prediction
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
Zikang Zhou
Haibo Hu
Xinhong Chen
Jianping Wang
Nan Guan
Kui Wu
Yung-Hui Li
Yu-Kai Huang
Chun Jason Xue
AI4CE
31
17
0
27 May 2024
Towards Consistent and Explainable Motion Prediction using Heterogeneous
  Graph Attention
Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention
Tobias Demmler
Andreas Tamke
Thao Dang
Karsten Haug
Lars Mikelsons
22
3
0
16 May 2024
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving
  with Reactive, Realistic, and Diverse Non-Playable Characters
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters
J. Lavington
Ke Zhang
Vasileios Lioutas
Matthew Niedoba
Yunpeng Liu
...
Xiaoxuan Liang
Setareh Dabiri
Adam Scibior
Berend Zwartsenberg
Frank D. Wood
22
5
0
07 May 2024
UniGen: Unified Modeling of Initial Agent States and Trajectories for
  Generating Autonomous Driving Scenarios
UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios
R. Mahjourian
Rongbing Mu
Valerii Likhosherstov
Paul Mougin
Xiukun Huang
Joao Messias
Shimon Whiteson
19
7
0
06 May 2024
Motion Planning under Uncertainty: Integrating Learning-Based
  Multi-Modal Predictors into Branch Model Predictive Control
Motion Planning under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control
Mohamed-Khalil Bouzidi
Bojan Derajić
Daniel Goehring
Joerg Reichardt
16
1
0
06 May 2024
MoST: Multi-modality Scene Tokenization for Motion Prediction
MoST: Multi-modality Scene Tokenization for Motion Prediction
Norman Mu
Jingwei Ji
Zhenpei Yang
Nate Harada
Haotian Tang
...
Zoey Yang
Scott Ettinger
Rami Al-Rfou
Drago Anguelov
Yin Zhou
30
6
0
30 Apr 2024
SemanticFormer: Holistic and Semantic Traffic Scene Representation for
  Trajectory Prediction using Knowledge Graphs
SemanticFormer: Holistic and Semantic Traffic Scene Representation for Trajectory Prediction using Knowledge Graphs
Zhigang Sun
Zixu Wang
Lavdim Halilaj
J. Luettin
31
4
0
30 Apr 2024
MAP-Former: Multi-Agent-Pair Gaussian Joint Prediction
MAP-Former: Multi-Agent-Pair Gaussian Joint Prediction
Marlon Steiner
Marvin Klemp
Christoph Stiller
28
1
0
30 Apr 2024
Dragtraffic: A Non-Expert Interactive and Point-Based Controllable
  Traffic Scene Generation Framework
Dragtraffic: A Non-Expert Interactive and Point-Based Controllable Traffic Scene Generation Framework
Sheng Wang
Ge Sun
Fulong Ma
Tianshuai Hu
Yongkang Song
Lei Zhu
Ming-Yu Liu
27
2
0
19 Apr 2024
HPNet: Dynamic Trajectory Forecasting with Historical Prediction
  Attention
HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention
Xiaolong Tang
Meina Kan
Shiguang Shan
Zhilong Ji
Jinfeng Bai
Xilin Chen
28
17
0
09 Apr 2024
Scaling Motion Forecasting Models with Ensemble Distillation
Scaling Motion Forecasting Models with Ensemble Distillation
Scott Ettinger
Kratarth Goel
Avikalp Srivastava
Rami Al-Rfou
33
5
0
05 Apr 2024
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation
Chen Yang
Aaron Xuxiang Tian
Dong Chen
Tianyu Shi
Arsalan Heydarian
Tianyu Shi
Arsalan Heydarian
Pei Liu
47
8
0
02 Apr 2024
Human-compatible driving partners through data-regularized self-play
  reinforcement learning
Human-compatible driving partners through data-regularized self-play reinforcement learning
Daphne Cornelisse
Eugene Vinitsky
30
6
0
28 Mar 2024
ProIn: Learning to Predict Trajectory Based on Progressive Interactions
  for Autonomous Driving
ProIn: Learning to Predict Trajectory Based on Progressive Interactions for Autonomous Driving
Yinke Dong
Haifeng Yuan
Hongkun Liu
Wei Jing
Fangzhen Li
Hongmin Liu
Bin Fan
34
2
0
25 Mar 2024
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
Lan Feng
Mohammadhossein Bahari
Kaouther Messaoud Ben Amor
Éloi Zablocki
Matthieu Cord
Alexandre Alahi
41
18
0
22 Mar 2024
AMP: Autoregressive Motion Prediction Revisited with Next Token
  Prediction for Autonomous Driving
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving
Xiaosong Jia
Shaoshuai Shi
Zijun Chen
Li Jiang
Wenlong Liao
Tao He
Junchi Yan
33
5
0
20 Mar 2024
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient
  Motion Prediction
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
Yang Zhou
Hao Shao
Letian Wang
Steven L. Waslander
Hongsheng Li
Yu Liu
36
13
0
18 Mar 2024
DTG : Diffusion-based Trajectory Generation for Mapless Global
  Navigation
DTG : Diffusion-based Trajectory Generation for Mapless Global Navigation
Jing Liang
Amirreza Payandeh
Daeun Song
Xuesu Xiao
Dinesh Manocha
21
6
0
14 Mar 2024
A Survey of Vision Transformers in Autonomous Driving: Current Trends
  and Future Directions
A Survey of Vision Transformers in Autonomous Driving: Current Trends and Future Directions
Quoc-Vinh Lai-Dang
ViT
16
2
0
12 Mar 2024
JointMotion: Joint Self-supervision for Joint Motion Prediction
JointMotion: Joint Self-supervision for Joint Motion Prediction
Royden Wagner
Ömer Sahin Tas
Marvin Klemp
Carlos Fernandez Lopez
TTA
31
1
0
08 Mar 2024
Blending Data-Driven Priors in Dynamic Games
Blending Data-Driven Priors in Dynamic Games
Justin Lidard
Haimin Hu
Asher Hancock
Zixu Zhang
Albert Gimó Contreras
...
Deepak Gopinath
Guy Rosman
Naomi Ehrich Leonard
María Santos
J. F. Fisac
OffRL
30
5
0
21 Feb 2024
DriveVLM: The Convergence of Autonomous Driving and Large
  Vision-Language Models
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
Xiaoyu Tian
Junru Gu
Bailin Li
Yicheng Liu
Yang Wang
Chenxu Hu
Kun Zhan
Peng Jia
Xianpeng Lang
Hang Zhao
VLM
65
124
0
19 Feb 2024
SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for
  Autonomous Driving
SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving
Lunkai Zhang
Peiliang Li
Sikang Liu
Shaojie Shen
17
21
0
04 Feb 2024
Learning Online Belief Prediction for Efficient POMDP Planning in
  Autonomous Driving
Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving
Zhiyu Huang
Chen Tang
Chen Lv
Masayoshi Tomizuka
Wei Zhan
25
5
0
27 Jan 2024
SwapTransformer: highway overtaking tactical planner model via imitation
  learning on OSHA dataset
SwapTransformer: highway overtaking tactical planner model via imitation learning on OSHA dataset
Alireza Shamsoshoara
Safin B Salih
Pedram Aghazadeh
ViT
OffRL
26
2
0
02 Jan 2024
Kinematic Characterization of Micro-Mobility Vehicles During Evasive
  Maneuvers
Kinematic Characterization of Micro-Mobility Vehicles During Evasive Maneuvers
Paolo Terranova
Shu-Yuan Liu
Sparsh Jain
Johan Engström
Miguel Pérez-Francisco
11
0
0
22 Dec 2023
TSDiT: Traffic Scene Diffusion Models With Transformers
TSDiT: Traffic Scene Diffusion Models With Transformers
Chen Yang
Tianyu Shi
19
0
0
21 Dec 2023
Manipulating Trajectory Prediction with Backdoors
Manipulating Trajectory Prediction with Backdoors
Kaouther Messaoud
Kathrin Grosse
Mickaël Chen
Matthieu Cord
Patrick Pérez
Alexandre Alahi
AAML
LLMSV
22
0
0
21 Dec 2023
EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction
EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction
Longzhong Lin
Xuewu Lin
Tianwei Lin
Lichao Huang
Rong Xiong
Yue Wang
23
12
0
15 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
23
15
0
05 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
27
5
0
04 Dec 2023
Categorical Traffic Transformer: Interpretable and Diverse Behavior
  Prediction with Tokenized Latent
Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent
Yuxiao Chen
Sander Tonkens
Marco Pavone
25
9
0
30 Nov 2023
Empowering Autonomous Driving with Large Language Models: A Safety
  Perspective
Empowering Autonomous Driving with Large Language Models: A Safety Perspective
Yixuan Wang
Ruochen Jiao
Sinong Simon Zhan
Chengtian Lang
Chao Huang
Zhaoran Wang
Zhuoran Yang
Qi Zhu
22
26
0
28 Nov 2023
FFINet: Future Feedback Interaction Network for Motion Forecasting
FFINet: Future Feedback Interaction Network for Motion Forecasting
Miao Kang
Shengqi Wang
Sanping Zhou
Ke Ye
Jingjing Jiang
Nanning Zheng
28
7
0
08 Nov 2023
Scenario Diffusion: Controllable Driving Scenario Generation With
  Diffusion
Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion
Ethan Pronovost
Meghana Reddy Ganesina
Noureldin Hendy
Zeyu Wang
Andres Morales
Kai Wang
Nicholas Roy
11
30
0
05 Nov 2023
OSM vs HD Maps: Map Representations for Trajectory Prediction
OSM vs HD Maps: Map Representations for Trajectory Prediction
Jing-Yan Liao
Parth Doshi
Zihan Zhang
David Paz
Henrik I. Christensen
23
2
0
04 Nov 2023
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