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Heterogeneous-Agent Trajectory Forecasting Incorporating Class
  Uncertainty
v1v2 (latest)

Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty

26 April 2021
Boris Ivanovic
Kuan-Hui Lee
P. Tokmakov
Blake Wulfe
R. McAllister
Adrien Gaidon
Marco Pavone
ArXiv (abs)PDFHTML

Papers citing "Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty"

38 / 38 papers shown
Title
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
244
368
0
20 Jan 2021
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion
  Forecasting with a Single Convolutional Net
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
Wenjie Luo
Binh Yang
R. Urtasun
3DPC
83
626
0
22 Dec 2020
Evidential Sparsification of Multimodal Latent Spaces in Conditional
  Variational Autoencoders
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
Masha Itkina
Boris Ivanovic
Ransalu Senanayake
Mykel J. Kochenderfer
Marco Pavone
115
18
0
19 Oct 2020
MATS: An Interpretable Trajectory Forecasting Representation for
  Planning and Control
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control
Boris Ivanovic
Amine Elhafsi
Guy Rosman
Adrien Gaidon
Marco Pavone
72
53
0
16 Sep 2020
TNT: Target-driveN Trajectory Prediction
TNT: Target-driveN Trajectory Prediction
Hang Zhao
Jiyang Gao
Tian-Shing Lan
Chen Sun
Benjamin Sapp
...
Yi Shen
Yuning Chai
Cordelia Schmid
Congcong Li
Dragomir Anguelov
116
559
0
19 Aug 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas
Cole Gulino
Simon Suo
Katie Z Luo
Renjie Liao
R. Urtasun
215
159
0
23 Jul 2020
One Thousand and One Hours: Self-driving Motion Prediction Dataset
One Thousand and One Hours: Self-driving Motion Prediction Dataset
J. Houston
G. Zuidhof
Luca Bergamini
Yawei Ye
Long Chen
Ashesh Jain
Sammy Omari
V. Iglovikov
Peter Ondruska
95
367
0
25 Jun 2020
MultiXNet: Multiclass Multistage Multimodal Motion Prediction
MultiXNet: Multiclass Multistage Multimodal Motion Prediction
Nemanja Djuric
Henggang Cui
Zhaoen Su
Shangxuan Wu
Huahua Wang
...
Sidney Zhang
Brian C. Becker
Gregory P. Meyer
Carlos Vallespi-Gonzalez
Carl K. Wellington
3DPC
82
50
0
03 Jun 2020
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
Tung Phan-Minh
E. Grigore
Freddy A. Boulton
Oscar Beijbom
Eric M. Wolff
107
384
0
23 Nov 2019
Multiple Futures Prediction
Multiple Futures Prediction
Yichuan Tang
Ruslan Salakhutdinov
96
353
0
04 Nov 2019
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
238
212
0
18 Oct 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for
  Behavior Prediction
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai
Benjamin Sapp
Mayank Bansal
Dragomir Anguelov
102
670
0
12 Oct 2019
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting
Jean Pierre Mercat
Thomas Gilles
N. Zoghby
G. Sandou
D. Beauvois
Guillermo Pita Gil
63
173
0
08 Oct 2019
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and
  Graph Attention Networks
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
V. Kosaraju
Amir Sadeghian
Roberto Martín-Martín
Ian Reid
S. Hamid Rezatofighi
Silvio Savarese
84
611
0
04 Jul 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and
  Fitting Framework for Multimodal Future Prediction
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
Osama Makansi
Eddy Ilg
Özgün Çiçek
Thomas Brox
122
191
0
09 Jun 2019
Human Motion Trajectory Prediction: A Survey
Human Motion Trajectory Prediction: A Survey
Andrey Rudenko
Luigi Palmieri
Michael Herman
Kris Kitani
D. Gavrila
Kai O. Arras
97
736
0
15 May 2019
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
Nicholas Rhinehart
R. McAllister
Kris Kitani
Sergey Levine
80
374
0
03 May 2019
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
Tianyang Zhao
Yifei Xu
Mathew Monfort
Wongun Choi
Chris L. Baker
Yibiao Zhao
Yizhou Wang
Ying Nian Wu
54
400
0
09 Apr 2019
nuScenes: A multimodal dataset for autonomous driving
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar
Varun Bankiti
Alex H. Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yuxin Pan
G. Baldan
Oscar Beijbom
3DPC
301
5,786
0
26 Mar 2019
What the Constant Velocity Model Can Teach Us About Pedestrian Motion
  Prediction
What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction
Christoph Schöller
Vincent Aravantinos
F. Lay
Alois C. Knoll
65
224
0
19 Mar 2019
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
Sungwon Kim
Sang-gil Lee
Sibo Zhang
Ruigang Yang
Jaehyeon Kim
Tianyi Zhou
85
423
0
06 Nov 2018
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and
  Physical Constraints
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
Amir Sadeghian
V. Kosaraju
A. Sadeghian
Noriaki Hirose
S. Hamid Rezatofighi
Silvio Savarese
108
906
0
05 Jun 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic
  Dynamics Models
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Kurtland Chua
Roberto Calandra
R. McAllister
Sergey Levine
BDL
230
1,284
0
30 May 2018
Social GAN: Socially Acceptable Trajectories with Generative Adversarial
  Networks
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Agrim Gupta
Justin Johnson
Li Fei-Fei
Silvio Savarese
Alexandre Alahi
GAN
173
1,926
0
29 Mar 2018
Generative Modeling of Multimodal Multi-Human Behavior
Generative Modeling of Multimodal Multi-Human Behavior
Boris Ivanovic
Edward Schmerling
Karen Leung
Marco Pavone
74
72
0
06 Mar 2018
Multimodal Probabilistic Model-Based Planning for Human-Robot
  Interaction
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction
Edward Schmerling
Karen Leung
Wolf Vollprecht
Marco Pavone
90
173
0
25 Oct 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,871
0
14 Jun 2017
Concrete Dropout
Concrete Dropout
Y. Gal
Jiri Hron
Alex Kendall
BDLUQCV
181
593
0
22 May 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCVBDL
842
5,847
0
05 Dec 2016
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
AI4CEOCLPINNGNN
545
1,412
0
01 Dec 2016
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
363
5,388
0
03 Nov 2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
Hao Wang
Xingjian Shi
Dit-Yan Yeung
BDL
91
83
0
02 Nov 2016
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian
  Neural Networks
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
Stefan Depeweg
José Miguel Hernández-Lobato
Finale Doshi-Velez
Steffen Udluft
BDL
76
160
0
23 May 2016
A Survey of Motion Planning and Control Techniques for Self-driving
  Urban Vehicles
A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles
B. Paden
Michal Cap
Sze Zheng Yong
Dmitry S. Yershov
Emilio Frazzoli
61
2,029
0
25 Apr 2016
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
113
2,364
0
19 Nov 2015
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
GNN
147
1,094
0
17 Nov 2015
Weight Uncertainty in Neural Networks
Weight Uncertainty in Neural Networks
Charles Blundell
Julien Cornebise
Koray Kavukcuoglu
Daan Wierstra
UQCVBDL
192
1,893
0
20 May 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,396
0
03 Jun 2014
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