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PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
v1v2v3 (latest)

PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings

3 May 2019
Nicholas Rhinehart
R. McAllister
Kris Kitani
Sergey Levine
ArXiv (abs)PDFHTML

Papers citing "PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings"

48 / 248 papers shown
Title
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and
  Prediction
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction
Tsun-Hsuan Wang
S. Manivasagam
Ming Liang
Binh Yang
Wenyuan Zeng
James Tu
R. Urtasun
76
402
0
17 Aug 2020
MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive
  Strategies for Urban Autonomous Navigation
MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation
Xiaoyi Chen
Pratik Chaudhari
139
4
0
17 Aug 2020
DSDNet: Deep Structured self-Driving Network
DSDNet: Deep Structured self-Driving Network
Wenyuan Zeng
Shenlong Wang
Renjie Liao
Yun Chen
Binh Yang
R. Urtasun
82
97
0
13 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
219
159
0
23 Jul 2020
AutoTrajectory: Label-free Trajectory Extraction and Prediction from
  Videos using Dynamic Points
AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points
Yuexin Ma
Xinge ZHU
Xinjing Cheng
Ruigang Yang
Jiming Liu
Tianyi Zhou
3DPC
83
13
0
11 Jul 2020
PathGAN: Local Path Planning with Attentive Generative Adversarial
  Networks
PathGAN: Local Path Planning with Attentive Generative Adversarial Networks
Dooseop Choi
Seung-Jun Han
Kyoung‐Wook Min
Jeongdan Choi
GAN
57
5
0
08 Jul 2020
Decentralized policy learning with partial observation and mechanical
  constraints for multiperson modeling
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling
Keisuke Fujii
Naoya Takeishi
Yoshinobu Kawahara
K. Takeda
68
9
0
07 Jul 2020
Deep Learning for Vision-based Prediction: A Survey
Deep Learning for Vision-based Prediction: A Survey
Amir Rasouli
102
42
0
30 Jun 2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to
  Distribution Shifts?
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Angelos Filos
P. Tigas
R. McAllister
Nicholas Rhinehart
Sergey Levine
Y. Gal
83
188
0
26 Jun 2020
Modeling Human Driving Behavior through Generative Adversarial Imitation
  Learning
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning
Raunak P. Bhattacharyya
Blake Wulfe
Derek J. Phillips
Alex Kuefler
Jeremy Morton
Ransalu Senanayake
Mykel Kochenderfer
86
103
0
10 Jun 2020
Motion Prediction using Trajectory Sets and Self-Driving Domain
  Knowledge
Motion Prediction using Trajectory Sets and Self-Driving Domain Knowledge
Freddy A. Boulton
E. Grigore
Eric M. Wolff
68
13
0
08 Jun 2020
Multimodal Future Localization and Emergence Prediction for Objects in
  Egocentric View with a Reachability Prior
Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View with a Reachability Prior
Osama Makansi
Özgün Çiçek
Kevin Buchicchio
Thomas Brox
EgoV
65
35
0
08 Jun 2020
Explaining Autonomous Driving by Learning End-to-End Visual Attention
Explaining Autonomous Driving by Learning End-to-End Visual Attention
Luca Cultrera
Lorenzo Seidenari
Federico Becattini
P. Pala
A. Bimbo
65
49
0
05 Jun 2020
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
Francesco Marchetti
Federico Becattini
Lorenzo Seidenari
A. Bimbo
78
121
0
05 Jun 2020
The Importance of Prior Knowledge in Precise Multimodal Prediction
The Importance of Prior Knowledge in Precise Multimodal Prediction
Sergio Casas
Cole Gulino
Simon Suo
R. Urtasun
58
42
0
04 Jun 2020
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop
Ming Liang
Binh Yang
Wenyuan Zeng
Yun Chen
Rui Hu
Sergio Casas
R. Urtasun
70
182
0
29 May 2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized
  Representation
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Jiyang Gao
Chen Sun
Hang Zhao
Yi Shen
Dragomir Anguelov
Congcong Li
Cordelia Schmid
132
816
0
08 May 2020
Learning to Evaluate Perception Models Using Planner-Centric Metrics
Learning to Evaluate Perception Models Using Planner-Centric Metrics
Jonah Philion
Amlan Kar
Sanja Fidler
63
69
0
19 Apr 2020
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware
  Probabilistic Prediction
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction
Yeping Hu
Wei Zhan
Masayoshi Tomizuka
141
38
0
07 Apr 2020
It Is Not the Journey but the Destination: Endpoint Conditioned
  Trajectory Prediction
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
K. Mangalam
Harshayu Girase
Shreya Agarwal
Kuan-Hui Lee
Ehsan Adeli
Jitendra Malik
Adrien Gaidon
3DPC
123
449
0
04 Apr 2020
Consistent Multiple Sequence Decoding
Consistent Multiple Sequence Decoding
Bicheng Xu
Leonid Sigal
57
0
0
02 Apr 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
140
66
0
01 Apr 2020
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational
  Reasoning
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
Jiachen Li
Fan Yang
Masayoshi Tomizuka
Chiho Choi
AI4CE
108
12
0
31 Mar 2020
PiP: Planning-informed Trajectory Prediction for Autonomous Driving
PiP: Planning-informed Trajectory Prediction for Autonomous Driving
Haoran Song
Wenchao Ding
Yuxuan Chen
Shaojie Shen
M. Y. Wang
Qifeng Chen
111
140
0
25 Mar 2020
Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud
  Forecasting for Sequential Pose Forecasting
Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting
Xinshuo Weng
Jianren Wang
Sergey Levine
Kris Kitani
Nicholas Rhinehart
3DPC
50
9
0
18 Mar 2020
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and
  Diversity Sampling
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling
Xinshuo Weng
Ye Yuan
Kris Kitani
67
33
0
17 Mar 2020
PLOP: Probabilistic poLynomial Objects trajectory Planning for
  autonomous driving
PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving
Thibault Buhet
É. Wirbel
Andrei Bursuc
Xavier Perrotton
80
33
0
09 Mar 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context
  Understanding
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
Seonguk Park
Gyubok Lee
Manoj Bhat
Jimin Seo
Minseok Kang
Jonathan M Francis
Ashwin R. Jadhav
Paul Pu Liang
Louis-Philippe Morency
216
120
0
06 Mar 2020
Interpretable Goal-based Prediction and Planning for Autonomous Driving
Interpretable Goal-based Prediction and Planning for Autonomous Driving
Stefano V. Albrecht
Cillian Brewitt
John Wilhelm
Bálint Gyevnár
Francisco Eiras
M. Dobre
S. Ramamoorthy
49
4
0
06 Feb 2020
Relational State-Space Model for Stochastic Multi-Object Systems
Relational State-Space Model for Stochastic Multi-Object Systems
Fan Yang
Ling Chen
Fan Zhou
Yusong Gao
Wei Cao
82
8
0
13 Jan 2020
Trajectron++: Dynamically-Feasible Trajectory Forecasting With
  Heterogeneous Data
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
Tim Salzmann
Boris Ivanovic
Punarjay Chakravarty
Marco Pavone
122
130
0
09 Jan 2020
VisionNet: A Drivable-space-based Interactive Motion Prediction Network
  for Autonomous Driving
VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving
Yanliang Zhu
Deheng Qian
Dongchun Ren
Huaxia Xia
38
2
0
08 Jan 2020
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based
  Plans
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans
Nachiket Deo
Mohan M. Trivedi
99
151
0
03 Jan 2020
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application
  for Probabilistic Occupancy Map Forecasting
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting
Geunseob Oh
Jean-Sebastien Valois
BDL
71
12
0
17 Dec 2019
Joint Interaction and Trajectory Prediction for Autonomous Driving using
  Graph Neural Networks
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks
Donsuk Lee
Yiming Gu
Jerrick Hoang
Micol Marchetti-Bowick
GNN
63
38
0
17 Dec 2019
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
Junwei Liang
Lu Jiang
Kevin Patrick Murphy
Ting Yu
Alexander G. Hauptmann
70
161
0
13 Dec 2019
Efficient Black-box Assessment of Autonomous Vehicle Safety
Efficient Black-box Assessment of Autonomous Vehicle Safety
J. Norden
Matthew O'Kelly
Aman Sinha
89
66
0
08 Dec 2019
Social Attention for Autonomous Decision-Making in Dense Traffic
Social Attention for Autonomous Decision-Making in Dense Traffic
Edouard Leurent
Jean Pierre Mercat
72
87
0
27 Nov 2019
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
116
386
0
23 Nov 2019
Crowd Density Forecasting by Modeling Patch-based Dynamics
Crowd Density Forecasting by Modeling Patch-based Dynamics
H. Minoura
Ryo Yonetani
Mai Nishimura
Yoshitaka Ushiku
48
12
0
22 Nov 2019
Argoverse: 3D Tracking and Forecasting with Rich Maps
Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang
John Lambert
Patsorn Sangkloy
Jagjeet Singh
Sławomir Bąk
...
De Wang
Peter Carr
Simon Lucey
Deva Ramanan
James Hays
3DPC
156
1,301
0
06 Nov 2019
Multiple Futures Prediction
Multiple Futures Prediction
Yichuan Tang
Ruslan Salakhutdinov
106
353
0
04 Nov 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
671
0
12 Oct 2019
A Review of Tracking, Prediction and Decision Making Methods for
  Autonomous Driving
A Review of Tracking, Prediction and Decision Making Methods for Autonomous Driving
Florin Leon
M. Gavrilescu
80
101
0
17 Sep 2019
DoorGym: A Scalable Door Opening Environment And Baseline Agent
DoorGym: A Scalable Door Opening Environment And Baseline Agent
Y. Urakami
Alec Hodgkinson
Casey Carlin
Randall Leu
Luca Rigazio
Pieter Abbeel
OffRL
109
57
0
05 Aug 2019
Analyzing the Variety Loss in the Context of Probabilistic Trajectory
  Prediction
Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction
Luca Thiede
P. Brahma
76
62
0
23 Jul 2019
Diverse Trajectory Forecasting with Determinantal Point Processes
Diverse Trajectory Forecasting with Determinantal Point Processes
Ye Yuan
Kris Kitani
53
134
0
11 Jul 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
128
737
0
15 May 2019
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