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Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting

Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting

8 October 2019
Jean Pierre Mercat
Thomas Gilles
N. Zoghby
G. Sandou
D. Beauvois
Guillermo Pita Gil
ArXivPDFHTML

Papers citing "Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting"

43 / 43 papers shown
Title
Future-Aware Interaction Network For Motion Forecasting
Shijie Li
Xun Xu
S. Yeo
Xulei Yang
Mamba
208
0
0
09 Mar 2025
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving
Xi Chen
Rahul Bhadani
Larry Head
82
1
0
01 Aug 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
An Integrating Comprehensive Trajectory Prediction with Risk Potential
  Field Method for Autonomous Driving
An Integrating Comprehensive Trajectory Prediction with Risk Potential Field Method for Autonomous Driving
Kailu Wu
Xing Liu
Feiyu Bian
Yizhai Zhang
Panfeng Huang
35
1
0
01 Apr 2024
Egocentric Scene-aware Human Trajectory Prediction
Egocentric Scene-aware Human Trajectory Prediction
Weizhuo Wang
Chenxi Liu
Monroe Kennedy
46
0
0
27 Mar 2024
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A
  comprehensive survey, Challenges, and Future Research Directions
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions
Vibha Bharilya
Neetesh Kumar
31
47
0
12 Jul 2023
TOFG: A Unified and Fine-Grained Environment Representation in
  Autonomous Driving
TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving
Zihao Wen
Yifan Zhang
Xinhong Chen
Jianping Wang
32
1
0
31 May 2023
A Multidimensional Graph Fourier Transformation Neural Network for
  Vehicle Trajectory Prediction
A Multidimensional Graph Fourier Transformation Neural Network for Vehicle Trajectory Prediction
Marion Neumeier
Andreas Tollkühn
M. Botsch
Wolfgang Utschick
22
5
0
12 May 2023
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting
K. Chen
Runzhou Ge
Hang Qiu
Rami Ai-Rfou
C. Qi
...
Mustafa A. Mustafa
Ivan Bogun
Weiyue Wang
Mingxing Tan
Drago Anguelov
29
20
0
07 Apr 2023
Dynamic Scenario Representation Learning for Motion Forecasting with
  Heterogeneous Graph Convolutional Recurrent Networks
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks
Xing Gao
Xiaogang Jia
Yikang Li
H. Xiong
25
32
0
08 Mar 2023
Holistic Graph-based Motion Prediction
Holistic Graph-based Motion Prediction
Daniel Grimm
Philip Schorner
M. Dressler
J. -Marius Zöllner
26
13
0
31 Jan 2023
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for
  Autonomous Driving
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving
Wenjie Luo
C. Park
Andre Cornman
Benjamin Sapp
Drago Anguelov
20
37
0
16 Dec 2022
Embedding Synthetic Off-Policy Experience for Autonomous Driving via
  Zero-Shot Curricula
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula
Eli Bronstein
S. Srinivasan
Supratik Paul
Aman Sinha
Matthew O'Kelly
Payam Nikdel
Shimon Whiteson
OffRL
8
18
0
02 Dec 2022
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles
  with Vectorized Representation
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation
Ding Li
Qichao Zhang
Shuai Lu
Yifeng Pan
Dongbin Zhao
26
5
0
19 Oct 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous
  Driving
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving
Eli Bronstein
Mark Palatucci
Dominik Notz
Brandyn White
Alex Kuefler
...
Punit Shah
Evan Racah
Benjamin Frenkel
Shimon Whiteson
Drago Anguelov
45
58
0
18 Oct 2022
Exploiting map information for self-supervised learning in motion
  forecasting
Exploiting map information for self-supervised learning in motion forecasting
Caio Azevedo
Thomas Gilles
S. Sabatini
D. Tsishkou
SSL
52
9
0
10 Oct 2022
RAP: Risk-Aware Prediction for Robust Planning
RAP: Risk-Aware Prediction for Robust Planning
Haruki Nishimura
Jean-Pierre Mercat
Blake Wulfe
R. McAllister
Adrien Gaidon
OOD
49
17
0
04 Oct 2022
Motion Transformer with Global Intention Localization and Local Movement
  Refinement
Motion Transformer with Global Intention Localization and Local Movement Refinement
Shaoshuai Shi
Li Jiang
Dengxin Dai
Bernt Schiele
36
220
0
27 Sep 2022
GANet: Goal Area Network for Motion Forecasting
GANet: Goal Area Network for Motion Forecasting
Mingkun Wang
Xinge Zhu
Changqian Yu
W. Li
Yuexin Ma
Ruochun Jin
Xiaoguang Ren
Dongchun Ren
Mingxu Wang
Wenjing Yang
27
62
0
20 Sep 2022
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Nigamaa Nayakanti
Rami Al-Rfou
Aurick Zhou
Kratarth Goel
Khaled S. Refaat
Benjamin Sapp
AI4TS
44
235
0
12 Jul 2022
ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion
  Prediction in Autonomous Driving Application
ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application
Zhiyu Huang
Xiaoyu Mo
Chen Lv
16
17
0
02 Jul 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous
  Driving
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Prarthana Bhattacharyya
Chengjie Huang
Krzysztof Czarnecki
SSL
42
55
0
28 Jun 2022
StopNet: Scalable Trajectory and Occupancy Prediction for Urban
  Autonomous Driving
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
An efficient Deep Spatio-Temporal Context Aware decision Network
  (DST-CAN) for Predictive Manoeuvre Planning
An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning
Jayabrata Chowdhury
Suresh Sundaram
Nishanth Rao
N. Sundararajan
21
2
0
20 May 2022
Bootstrap Motion Forecasting With Self-Consistent Constraints
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
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
Flash: Fast and Light Motion Prediction for Autonomous Driving with
  Bayesian Inverse Planning and Learned Motion Profiles
Flash: Fast and Light Motion Prediction for Autonomous Driving with Bayesian Inverse Planning and Learned Motion Profiles
Morris Antonello
M. Dobre
Stefano V. Albrecht
John Redford
S. Ramamoorthy
3DV
37
10
0
15 Mar 2022
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph
  Convolutional Neural Networks and Multi-Head Self-Attention
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention
Julian Schmidt
Julian Jordan
Franz Gritschneder
Klaus C. J. Dietmayer
27
47
0
09 Feb 2022
A Scenario-Based Platform for Testing Autonomous Vehicle Behavior
  Prediction Models in Simulation
A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation
Francis Indaheng
Edward Kim
Kesav Viswanadha
Jay Shenoy
Jinkyu Kim
Daniel J. Fremont
S. Seshia
28
9
0
28 Oct 2021
A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction
  in Autonomous Driving
A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving
Jianbang Liu
Xinyu Mao
Yuqi Fang
Delong Zhu
Max Q.-H. Meng
27
57
0
20 Oct 2021
Trajectory Prediction with Linguistic Representations
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
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: Trajectory Heatmap Output with learned Multi-Agent Sampling
Thomas Gilles
S. Sabatini
D. Tsishkou
B. Stanciulescu
Fabien Moutarde
25
130
0
13 Oct 2021
SVG-Net: An SVG-based Trajectory Prediction Model
SVG-Net: An SVG-based Trajectory Prediction Model
Mohammadhossein Bahari
Vahid Zehtab
Sadegh Khorasani
Sana Ayromlou
Saeed Saadatnejad
Alexandre Alahi
3DPC
24
3
0
07 Oct 2021
Multi-modal Motion Prediction with Transformer-based Neural Network for
  Autonomous Driving
Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving
Zhiyu Huang
Xiaoyu Mo
Chen Lv
33
113
0
14 Sep 2021
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation
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
Decoder Fusion RNN: Context and Interaction Aware Decoders for
  Trajectory Prediction
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction
Edoardo Mello Rella
Jan-Nico Zaech
Alexander Liniger
Luc Van Gool
AI4CE
27
14
0
12 Aug 2021
DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in
  Highways
DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways
Vinit Katariya
Mohammadreza Baharani
Nichole L. Morris
O. Shoghli
Hamed Tabkhi
HAI
14
42
0
01 Aug 2021
Heterogeneous-Agent Trajectory Forecasting Incorporating Class
  Uncertainty
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
Boris Ivanovic
Kuan-Hui Lee
P. Tokmakov
Blake Wulfe
R. McAllister
Adrien Gaidon
Marco Pavone
22
35
0
26 Apr 2021
Learning to Predict Vehicle Trajectories with Model-based Planning
Learning to Predict Vehicle Trajectories with Model-based Planning
Haoran Song
Di Luan
Wenchao Ding
M. Y. Wang
Qifeng Chen
24
118
0
06 Mar 2021
TPCN: Temporal Point Cloud Networks for Motion Forecasting
TPCN: Temporal Point Cloud Networks for Motion Forecasting
Maosheng Ye
Tongyi Cao
Qifeng Chen
3DPC
15
145
0
04 Mar 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion
  Forecasting
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
Wenyuan Zeng
Ming Liang
Renjie Liao
R. Urtasun
GNN
28
176
0
17 Jan 2021
What-If Motion Prediction for Autonomous Driving
What-If Motion Prediction for Autonomous Driving
Siddhesh Khandelwal
William Qi
Jagjeet Singh
Andrew Hartnett
Deva Ramanan
124
115
0
24 Aug 2020
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