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What-If Motion Prediction for Autonomous Driving

What-If Motion Prediction for Autonomous Driving

24 August 2020
Siddhesh Khandelwal
William Qi
Jagjeet Singh
Andrew Hartnett
Deva Ramanan
ArXiv (abs)PDFHTML

Papers citing "What-If Motion Prediction for Autonomous Driving"

50 / 81 papers shown
Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning
Hypergraph-based Motion Generation with Multi-modal Interaction Relational ReasoningTransportation Research Part C: Emerging Technologies (TRC), 2024
Keshu Wu
Yang Zhou
Haotian Shi
Dominique Lord
Bin Ran
Xinyue Ye
326
5
0
18 Sep 2024
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
792
8
0
01 Aug 2024
MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous
  Vehicle Environment with Multi-source Data Integration
MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration
Xi Chen
Rahul Bhadani
Zhanbo Sun
Larry Head
256
2
0
31 Jul 2024
Rethinking Closed-loop Planning Framework for Imitation-based Model
  Integrating Prediction and Planning
Rethinking Closed-loop Planning Framework for Imitation-based Model Integrating Prediction and Planning
Jiayu Guo
Mingyue Feng
Pengfei Zhu
Chengjun Li
Jian Pu
332
2
0
07 Jul 2024
Traj-LLM: A New Exploration for Empowering Trajectory Prediction with
  Pre-trained Large Language Models
Traj-LLM: A New Exploration for Empowering Trajectory Prediction with Pre-trained Large Language Models
Zhengxing Lan
Hongbo Li
Lingshan Liu
Bo Fan
Yisheng Lv
Yilong Ren
Zhiyong Cui
290
0
0
08 May 2024
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous
  Driving
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous DrivingInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Haicheng Liao
Zhenning Li
Chengyue Wang
Huanming Shen
Bonan Wang
Dongping Liao
Guofa Li
Chengzhong Xu
244
22
0
02 May 2024
MoST: Multi-modality Scene Tokenization for Motion Prediction
MoST: Multi-modality Scene Tokenization for Motion Prediction
Norman Mu
Jingwei Ji
Zhenpei Yang
Nate Harada
Haotian Tang
...
Zoey Yang
Scott Ettinger
Rami Al-Rfou
Drago Anguelov
Yin Zhou
372
21
0
30 Apr 2024
SemanticFormer: Holistic and Semantic Traffic Scene Representation for
  Trajectory Prediction using Knowledge Graphs
SemanticFormer: Holistic and Semantic Traffic Scene Representation for Trajectory Prediction using Knowledge Graphs
Zhigang Sun
Zixu Wang
Lavdim Halilaj
J. Luettin
396
18
0
30 Apr 2024
MAP-Former: Multi-Agent-Pair Gaussian Joint Prediction
MAP-Former: Multi-Agent-Pair Gaussian Joint Prediction
Marlon Steiner
Marvin Klemp
Christoph Stiller
275
2
0
30 Apr 2024
Scaling Motion Forecasting Models with Ensemble Distillation
Scaling Motion Forecasting Models with Ensemble Distillation
Scott Ettinger
Kratarth Goel
Avikalp Srivastava
Rami Al-Rfou
289
8
0
05 Apr 2024
TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction
TrajectoryNAS: A Neural Architecture Search for Trajectory PredictionItalian National Conference on Sensors (INS), 2024
Ali Asghar Sharifi
Ali Zoljodi
Masoud Daneshtalab
3DPC
237
10
0
18 Mar 2024
Testing autonomous vehicles and AI: perspectives and challenges from
  cybersecurity, transparency, robustness and fairness
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
David Fernández Llorca
Ronan Hamon
Henrik Junklewitz
Kathrin Grosse
Lars Kunze
...
Nick Reed
Alexandre Alahi
Emilia Gómez
Ignacio E. Sánchez
Á. Kriston
333
16
0
21 Feb 2024
FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction
FIMP: Future Interaction Modeling for Multi-Agent Motion PredictionIEEE International Conference on Robotics and Automation (ICRA), 2024
Sungmin Woo
Minjung Kim
Donghyeong Kim
Sungjun Jang
Sangyoun Lee
AI4CE
312
9
0
29 Jan 2024
Heterogeneous Graph-based Trajectory Prediction using Local Map Context
  and Social Interactions
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions
Daniel Grimm
Maximilian Zipfl
Felix Hertlein
Alexander Naumann
Jürgen Lüttin
Steffen Thoma
Stefan Schmid
Lavdim Halilaj
Achim Rettinger
J. Marius Zöllner
276
7
0
30 Nov 2023
Interactive Autonomous Navigation with Internal State Inference and
  Interactivity Estimation
Interactive Autonomous Navigation with Internal State Inference and Interactivity EstimationIEEE Transactions on robotics (TRO), 2023
Jiachen Li
David Isele
Kanghoon Lee
Jinkyoo Park
K. Fujimura
Mykel J. Kochenderfer
297
16
0
27 Nov 2023
Conditional Unscented Autoencoders for Trajectory Prediction
Conditional Unscented Autoencoders for Trajectory Prediction
Faris Janjos
Marcel Hallgarten
Anthony Knittel
Maxim Dolgov
Andreas Zell
J. Marius Zöllner
437
11
0
30 Oct 2023
Graph-based Trajectory Prediction with Cooperative Information
Graph-based Trajectory Prediction with Cooperative Information
Jan Strohbeck
Sebastian Maschke
Max Bastian Mertens
Michael Buchholz
238
0
0
24 Oct 2023
KI-PMF: Knowledge Integrated Plausible Motion Forecasting
KI-PMF: Knowledge Integrated Plausible Motion Forecasting
Abhishek Vivekanandan
Ahmed Abouelazm
Philip Schorner
J. Marius Zöllner
393
5
0
18 Oct 2023
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
MotionLM: Multi-Agent Motion Forecasting as Language ModelingIEEE International Conference on Computer Vision (ICCV), 2023
Ari Seff
Brian Cera
Dian Chen
Mason Ng
Aurick Zhou
Nigamaa Nayakanti
Khaled S. Refaat
Rami Al-Rfou
Benjamin Sapp
488
175
0
28 Sep 2023
Hierarchical Imitation Learning for Stochastic Environments
Hierarchical Imitation Learning for Stochastic EnvironmentsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Maximilian Igl
Punit Shah
Paul Mougin
S. Srinivasan
Tarun Gupta
Brandyn White
K. Shiarlis
Shimon Whiteson
OOD
267
4
0
25 Sep 2023
Scene Informer: Anchor-based Occlusion Inference and Trajectory
  Prediction in Partially Observable Environments
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable EnvironmentsIEEE International Conference on Robotics and Automation (ICRA), 2023
Bernard Lange
Jiacheng Li
Mykel J. Kochenderfer
527
23
0
25 Sep 2023
RMP: A Random Mask Pretrain Framework for Motion Prediction
RMP: A Random Mask Pretrain Framework for Motion Prediction
Yi Yang
Qingwen Zhang
Thomas Gilles
Nazre Batool
John Folkesson
335
9
0
16 Sep 2023
PBP: Path-based Trajectory Prediction for Autonomous Driving
PBP: Path-based Trajectory Prediction for Autonomous DrivingIEEE International Conference on Robotics and Automation (ICRA), 2023
Sepideh Afshar
Nachiket Deo
A. Bhagat
Titas Chakraborty
Yunming Shao
Balarama Raju Buddharaju
Adwait Deshpande
Henggang Cui
391
11
0
07 Sep 2023
Efficient Baselines for Motion Prediction in Autonomous Driving
Efficient Baselines for Motion Prediction in Autonomous Driving
Carlos Gómez-Huélamo
Marcos V. Conde
R. Barea
Manuel Ocaña
L. Bergasa
338
16
0
06 Sep 2023
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory
  Prediction using Diffusion Graph Convolutional Networks
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional NetworksIEEE Transactions on Intelligent Vehicles (TIV), 2023
Keshu Wu
Yang Zhou
Haotian Shi
Xiaopeng Li
Bin Ran
349
36
0
05 Sep 2023
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with
  Masked Autoencoders
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked AutoencodersIEEE International Conference on Computer Vision (ICCV), 2023
Jie Cheng
Xiaodong Mei
Ming-Yuan Liu
349
119
0
19 Aug 2023
CASPNet++: Joint Multi-Agent Motion Prediction
CASPNet++: Joint Multi-Agent Motion Prediction
Maximilian Schäfer
Kun-li Zhao
A. Kummert
207
12
0
15 Aug 2023
Tracing the Influence of Predecessors on Trajectory Prediction
Tracing the Influence of Predecessors on Trajectory Prediction
Mengmeng Liu
Hao Cheng
M. Yang
264
3
0
10 Aug 2023
ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation
ADAPT: Efficient Multi-Agent Trajectory Prediction with AdaptationIEEE International Conference on Computer Vision (ICCV), 2023
Görkay Aydemir
Adil Kaan Akan
Fatma Guney
288
84
0
26 Jul 2023
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory
  Prediction in Autonomous Driving
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous DrivingComputer Vision and Pattern Recognition (CVPR), 2023
Mozhgan Pourkeshavarz
Mohammad Sabokrou
Amir Rasouli
AAML
304
15
0
27 Jun 2023
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction
  via Self-Supervision
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision
Faris Janjos
Max Keller
Maxim Dolgov
J. Marius Zöllner
286
9
0
06 Jun 2023
MotionDiffuser: Controllable Multi-Agent Motion Prediction using
  Diffusion
MotionDiffuser: Controllable Multi-Agent Motion Prediction using DiffusionComputer Vision and Pattern Recognition (CVPR), 2023
C. Jiang
Andre Cornman
C. Park
Benjamin Sapp
Yin Zhou
Drago Anguelov
DiffM
368
246
0
05 Jun 2023
Improving the Generalizability of Trajectory Prediction Models with
  Frenet-Based Domain Normalization
Improving the Generalizability of Trajectory Prediction Models with Frenet-Based Domain NormalizationIEEE International Conference on Robotics and Automation (ICRA), 2023
Luyao Ye
Zikang Zhou
Jianping Wang
350
18
0
29 May 2023
RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction
RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction
Julian Schmidt
Pascal Huissel
Julian Wiederer
Julian Jordan
Vasileios Belagiannis
Klaus C. J. Dietmayer
188
5
0
12 Apr 2023
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion ForecastingIEEE International Conference on Robotics and Automation (ICRA), 2023
K. Chen
Runzhou Ge
Hang Qiu
Rami Ai-Rfou
C. Qi
...
Mustafa A. Mustafa
Ivan Bogun
Weiyue Wang
Mingxing Tan
Drago Anguelov
446
31
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 NetworksIEEE Robotics and Automation Letters (RA-L), 2023
Xing Gao
Xiaogang Jia
Yikang Li
H. Xiong
349
56
0
08 Mar 2023
LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware
  Scene Constraints
LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints
Mengmeng Liu
Hao Cheng
Linyuan Chen
Hellward Broszio
Jiangtao Li
Runjiang Zhao
Monika Sester
M. Yang
339
105
0
27 Feb 2023
Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory PredictionIEEE Robotics and Automation Letters (RA-L), 2023
Pei Xu
J. Hayet
Ioannis Karamouzas
494
34
0
21 Feb 2023
From Prediction to Planning With Goal Conditioned Lane Graph Traversals
From Prediction to Planning With Goal Conditioned Lane Graph Traversals
Marcel Hallgarten
Martin Stoll
A. Zell
AI4CE
293
53
0
15 Feb 2023
SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural
  Networks
SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural NetworksIEEE Robotics and Automation Letters (RA-L), 2023
T. Monninger
Julian Schmidt
Jan Rupprecht
D. Raba
Julian Jordan
Daniel Frank
Steffen Staab
Klaus C. J. Dietmayer
GNN
362
42
0
09 Jan 2023
Argoverse 2: Next Generation Datasets for Self-Driving Perception and
  Forecasting
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
Benjamin Wilson
William Qi
Tanmay Agarwal
John Lambert
Jagjeet Singh
...
Andrew Hartnett
J. K. Pontes
Deva Ramanan
Peter Carr
James Hays
3DPCAI4TS
706
948
0
02 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 DrivingConference on Robot Learning (CoRL), 2022
Wenjie Luo
C. Park
Andre Cornman
Benjamin Sapp
Drago Anguelov
338
56
0
16 Dec 2022
Towards Explainable Motion Prediction using Heterogeneous Graph
  Representations
Towards Explainable Motion Prediction using Heterogeneous Graph RepresentationsTransportation Research Part C: Emerging Technologies (TRC), 2022
Sandra Carrasco Limeros
Sylwia Majchrowska
Joakim Johnander
Christoffer Petersson
David Fernández Llorca
207
27
0
07 Dec 2022
Towards trustworthy multi-modal motion prediction: Holistic evaluation
  and interpretability of outputs
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputsCAAI Transactions on Intelligence Technology (TCIT), 2022
Sandra Carrasco Limeros
Sylwia Majchrowska
Joakim Johnander
Christoffer Petersson
Miguel Ángel Sotelo
David Fernández Llorca
251
17
0
28 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
299
11
0
10 Oct 2022
RAP: Risk-Aware Prediction for Robust Planning
RAP: Risk-Aware Prediction for Robust PlanningConference on Robot Learning (CoRL), 2022
Haruki Nishimura
Jean Mercat
Blake Wulfe
R. McAllister
Adrien Gaidon
OOD
364
19
0
04 Oct 2022
ProspectNet: Weighted Conditional Attention for Future Interaction
  Modeling in Behavior Prediction
ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction
Yutian Pang
Zehua Guo
Binnan Zhuang
401
4
0
29 Aug 2022
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Wayformer: Motion Forecasting via Simple & Efficient Attention NetworksIEEE International Conference on Robotics and Automation (ICRA), 2022
Nigamaa Nayakanti
Rami Al-Rfou
Aurick Zhou
Kratarth Goel
Khaled S. Refaat
Benjamin Sapp
AI4TS
375
390
0
12 Jul 2022
Trajectory Forecasting on Temporal Graphs
Trajectory Forecasting on Temporal Graphs
Görkay Aydemir
Adil Kaan Akan
Fatma Guney
222
7
0
01 Jul 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous
  Driving
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous DrivingConference on Robot Learning (CoRL), 2022
Prarthana Bhattacharyya
Chengjie Huang
Krzysztof Czarnecki
SSL
367
82
0
28 Jun 2022
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