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HOME: Heatmap Output for future Motion Estimation

HOME: Heatmap Output for future Motion Estimation

23 May 2021
Thomas Gilles
S. Sabatini
D. Tsishkou
B. Stanciulescu
Fabien Moutarde
ArXivPDFHTML

Papers citing "HOME: Heatmap Output for future Motion Estimation"

37 / 37 papers shown
Title
DyTTP: Trajectory Prediction with Normalization-Free Transformers
DyTTP: Trajectory Prediction with Normalization-Free Transformers
Yunxiang Liu
Hongkuo Niu
38
0
0
07 Apr 2025
Future-Aware Interaction Network For Motion Forecasting
Shijie Li
Xun Xu
S. Yeo
Xulei Yang
Mamba
196
0
0
09 Mar 2025
Snapshot: Towards Application-centered Models for Pedestrian Trajectory Prediction in Urban Traffic Environments
Snapshot: Towards Application-centered Models for Pedestrian Trajectory Prediction in Urban Traffic Environments
Nico Uhlemann
Yipeng Zhou
Tobias Mohr
Markus Lienkamp
65
1
0
10 Jan 2025
Annealed Winner-Takes-All for Motion Forecasting
Annealed Winner-Takes-All for Motion Forecasting
Yihong Xu
Victor Letzelter
Mickaël Chen
Éloi Zablocki
Matthieu Cord
134
1
0
17 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
CASPNet++: Joint Multi-Agent Motion Prediction
CASPNet++: Joint Multi-Agent Motion Prediction
Maximilian Schäfer
Kun-li Zhao
A. Kummert
28
6
0
15 Aug 2023
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
Deep Occupancy-Predictive Representations for Autonomous Driving
Deep Occupancy-Predictive Representations for Autonomous Driving
Eivind Meyer
Lars Frederik Peiss
Matthias Althoff
37
3
0
07 Mar 2023
Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
Pei Xu
J. Hayet
Ioannis Karamouzas
37
16
0
21 Feb 2023
Exploring Navigation Maps for Learning-Based Motion Prediction
Exploring Navigation Maps for Learning-Based Motion Prediction
Julian Schmidt
Julian Jordan
Franz Gritschneder
T. Monninger
Klaus C. J. Dietmayer
35
3
0
13 Feb 2023
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based
  Trajectory Refinement
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement
Sehwa Choi
Jungho Kim
Ju-seok Yun
Junwon Choi
26
18
0
16 Nov 2022
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
Alexander Cui
Sergio Casas
K. Wong
Simon Suo
R. Urtasun
21
62
0
04 Nov 2022
Improving Motion Forecasting for Autonomous Driving with the Cycle
  Consistency Loss
Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss
Titas Chakraborty
A. Bhagat
Henggang Cui
15
2
0
31 Oct 2022
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling
Q. Sun
Xin Huang
B. Williams
Hang Zhao
35
36
0
26 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
46
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
46
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
27
219
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
BITS: Bi-level Imitation for Traffic Simulation
BITS: Bi-level Imitation for Traffic Simulation
Danfei Xu
Yuxiao Chen
Boris Ivanovic
Marco Pavone
34
80
0
26 Aug 2022
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
Bohan Tang
Yiqi Zhong
Chenxin Xu
Wei Wu
Ulrich Neumann
Yanfeng Wang
Ya-Qin Zhang
Siheng Chen
36
9
0
11 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
11
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
39
55
0
28 Jun 2022
Diverse Multiple Trajectory Prediction Using a Two-stage Prediction
  Network Trained with Lane Loss
Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss
Sanmin Kim
Hyeongseok Jeon
Junwon Choi
Dongsuk Kum
44
21
0
17 Jun 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
Forecasting from LiDAR via Future Object Detection
Forecasting from LiDAR via Future Object Detection
Neehar Peri
Jonathon Luiten
Mengtian Li
Aljovsa Ovsep
Laura Leal-Taixé
Deva Ramanan
26
34
0
30 Mar 2022
M2I: From Factored Marginal Trajectory Prediction to Interactive
  Prediction
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction
Q. Sun
Xin Huang
Junru Gu
B. Williams
Hang Zhao
15
105
0
24 Feb 2022
Context-Aware Scene Prediction Network (CASPNet)
Context-Aware Scene Prediction Network (CASPNet)
Maximilian Schäfer
Kun-li Zhao
Markus Bühren
A. Kummert
38
9
0
18 Jan 2022
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for
  Behavior Prediction
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
Trajectory Prediction with Graph-based Dual-scale Context Fusion
Lu Zhang
Peiliang Li
Jing Chen
Shaojie Shen
28
28
0
02 Nov 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
24
57
0
20 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
129
0
13 Oct 2021
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and
  Adaptive Sampling
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling
Xin Huang
Guy Rosman
Igor Gilitschenski
A. Jasour
Stephen G. McGill
J. Leonard
B. Williams
16
26
0
05 Oct 2021
Raising context awareness in motion forecasting
Raising context awareness in motion forecasting
H. Ben-younes
Éloi Zablocki
Mickaël Chen
P. Pérez
Matthieu Cord
TTA
39
11
0
16 Sep 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
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
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
Ajay Jain
Sergio Casas
Renjie Liao
Yuwen Xiong
Song Feng
Sean Segal
R. Urtasun
149
73
0
17 Oct 2019
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