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Trajectron++: Dynamically-Feasible Trajectory Forecasting With
  Heterogeneous Data

Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data

9 January 2020
Tim Salzmann
Boris Ivanovic
Punarjay Chakravarty
Marco Pavone
ArXivPDFHTML

Papers citing "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data"

41 / 41 papers shown
Title
Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling
Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling
Guillem Capellera
Antonio Rubio
Luis Ferraz
Antonio Agudo
45
1
0
24 Mar 2025
Chance-Constrained Trajectory Planning with Multimodal Environmental Uncertainty
Kai Ren
Heejin Ahn
Maryam Kamgarpour
66
21
0
09 Mar 2025
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
Distilling Knowledge for Short-to-Long Term Trajectory Prediction
Distilling Knowledge for Short-to-Long Term Trajectory Prediction
Sourav Das
Guglielmo Camporese
Shaokang Cheng
Lamberto Ballan
39
3
0
15 May 2023
Obstacle-Transformer: A Trajectory Prediction Network Based on
  Surrounding Trajectories
Obstacle-Transformer: A Trajectory Prediction Network Based on Surrounding Trajectories
Wendong Zhang
Qingjie Chai
Quanqi Zhang
Chengwei Wu
17
5
0
16 Apr 2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant
  Interaction Reasoning
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
Chenxin Xu
R. Tan
Yuhong Tan
Siheng Chen
Yu Wang
Xinchao Wang
Yanfeng Wang
35
96
0
20 Mar 2023
Diverse Probabilistic Trajectory Forecasting with Admissibility
  Constraints
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
Laura Calem
H. Ben-younes
P. Pérez
Nicolas Thome
36
3
0
07 Feb 2023
Imitation Is Not Enough: Robustifying Imitation with Reinforcement
  Learning for Challenging Driving Scenarios
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Yiren Lu
Justin Fu
George Tucker
Xinlei Pan
Eli Bronstein
...
Brandyn White
Aleksandra Faust
Shimon Whiteson
Drago Anguelov
Sergey Levine
OffRL
28
92
0
21 Dec 2022
Toward Smart Doors: A Position Paper
Toward Smart Doors: A Position Paper
Luigi Capogrosso
Geri Skenderi
Federico Girella
Franco Fummi
Marco Cristani
24
4
0
23 Sep 2022
T2FPV: Dataset and Method for Correcting First-Person View Errors in
  Pedestrian Trajectory Prediction
T2FPV: Dataset and Method for Correcting First-Person View Errors in Pedestrian Trajectory Prediction
Ben Stoler
Meghdeep Jana
Soonmin Hwang
Jean Oh
35
3
0
22 Sep 2022
Reproducibility Report: Contrastive Learning of Socially-aware Motion
  Representations
Reproducibility Report: Contrastive Learning of Socially-aware Motion Representations
Roop Sen
Sidharth Sinha
Parv Maheshwari
Animesh Jha
Debashish Chakravarty
16
0
0
18 Aug 2022
D2-TPred: Discontinuous Dependency for Trajectory Prediction under
  Traffic Lights
D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights
Yuzhen Zhang
Wentong Wang
Weizhi Guo
Pei Lv
Mingliang Xu
Wei Chen
Tianyi Zhou
19
10
0
21 Jul 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
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with
  Relational Reasoning
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning
Chenxin Xu
Yuxin Wei
Bohan Tang
Sheng Yin
Ya Zhang
Siheng Chen
AI4TS
AI4CE
32
33
0
27 Jun 2022
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory
  Prediction via Scene Encoding
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding
Xiaosong Jia
Peng Wu
Li Chen
Y. Liu
Hongyang Li
Junchi Yan
32
120
0
30 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
Under the Hood of Transformer Networks for Trajectory Forecasting
Under the Hood of Transformer Networks for Trajectory Forecasting
Luca Franco
Leonardo Placidi
Francesco Giuliari
Irtiza Hasan
Marco Cristani
Fabio Galasso
10
19
0
22 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
18
105
0
24 Feb 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
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
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
26
26
0
05 Oct 2021
CovarianceNet: Conditional Generative Model for Correct Covariance
  Prediction in Human Motion Prediction
CovarianceNet: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction
A. Postnikov
A. Gamayunov
Gonzalo Ferrer
21
5
0
07 Sep 2021
RAIN: Reinforced Hybrid Attention Inference Network for Motion
  Forecasting
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
Jiachen Li
Fan Yang
Hengbo Ma
Srikanth Malla
Masayoshi Tomizuka
Chiho Choi
24
42
0
03 Aug 2021
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
Nachiket Deo
Eric M. Wolff
Oscar Beijbom
33
164
0
28 Jun 2021
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
Apratim Bhattacharyya
Daniel Olmeda Reino
Mario Fritz
Bernt Schiele
21
25
0
22 Jun 2021
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of
  Dynamic Agents
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
Byeoungdo Kim
Seonghyeon Park
S. Lee
Elbek Khoshimjonov
Dongsuk Kum
Junsoo Kim
Jeong Soo Kim
J. Choi
14
104
0
01 Apr 2021
Limits of Probabilistic Safety Guarantees when Considering Human
  Uncertainty
Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty
Richard Cheng
R. Murray
J. W. Burdick
39
6
0
05 Mar 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas
Wenjie Luo
R. Urtasun
3DPC
163
365
0
20 Jan 2021
Self-Growing Spatial Graph Network for Context-Aware Pedestrian
  Trajectory Prediction
Self-Growing Spatial Graph Network for Context-Aware Pedestrian Trajectory Prediction
Sirin Haddad
S. Lam
GNN
19
8
0
11 Dec 2020
Trajectory Prediction in Autonomous Driving with a Lane Heading
  Auxiliary Loss
Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss
Ross Greer
Nachiket Deo
Mohan M. Trivedi
35
46
0
12 Nov 2020
Behaviorally Diverse Traffic Simulation via Reinforcement Learning
Behaviorally Diverse Traffic Simulation via Reinforcement Learning
Shinya Shiroshita
Shirou Maruyama
D. Nishiyama
M. Castro
Karim Hamzaoui
Guy Rosman
Jonathan A. DeCastro
Kuan-Hui Lee
Adrien Gaidon
28
18
0
11 Nov 2020
Temporally-Continuous Probabilistic Prediction using Polynomial
  Trajectory Parameterization
Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization
Zhaoen Su
Chao Wang
Henggang Cui
Nemanja Djuric
Carlos Vallespi-Gonzalez
David Bradley
48
7
0
01 Nov 2020
What-If Motion Prediction for Autonomous Driving
What-If Motion Prediction for Autonomous Driving
Siddhesh Khandelwal
William Qi
Jagjeet Singh
Andrew Hartnett
Deva Ramanan
129
115
0
24 Aug 2020
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit
  Layers
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers
Philipp Geiger
C. Straehle
AI4CE
33
26
0
17 Aug 2020
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
Parth Kothari
S. Kreiss
Alexandre Alahi
HAI
AI4TS
27
237
0
07 Jul 2020
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
Chiho Choi
Joon Hee Choi
Srikanth Malla
Jiachen Li
38
65
0
01 Apr 2020
Transformer Networks for Trajectory Forecasting
Transformer Networks for Trajectory Forecasting
Francesco Giuliari
Irtiza Hasan
Marco Cristani
Fabio Galasso
113
371
0
18 Mar 2020
Spatially-Aware Graph Neural Networks for Relational Behavior
  Forecasting from Sensor Data
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Sergio Casas
Cole Gulino
Renjie Liao
R. Urtasun
AI4CE
174
211
0
18 Oct 2019
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
152
73
0
17 Oct 2019
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Benjin Zhu
Zhengkai Jiang
Xiangxin Zhou
Zeming Li
Gang Yu
3DPC
169
484
0
26 Aug 2019
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
280
1,401
0
01 Dec 2016
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