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MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for
  Behavior Prediction

MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

12 October 2019
Yuning Chai
Benjamin Sapp
Mayank Bansal
Dragomir Anguelov
ArXivPDFHTML

Papers citing "MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction"

50 / 169 papers shown
Title
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
37
15
0
17 Oct 2021
View Vertically: A Hierarchical Network for Trajectory Prediction via
  Fourier Spectrums
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums
Conghao Wong
Beihao Xia
Ziming Hong
Qinmu Peng
Wei Yuan
Qiong Cao
Yibo Yang
Xinge You
22
65
0
14 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
SVG-Net: An SVG-based Trajectory Prediction Model
SVG-Net: An SVG-based Trajectory Prediction Model
Mohammadhossein Bahari
Vahid Zehtab
Sadegh Khorasani
Sana Ayromlou
Saeed Saadatnejad
Alexandre Alahi
3DPC
24
3
0
07 Oct 2021
Propagating State Uncertainty Through Trajectory Forecasting
Propagating State Uncertainty Through Trajectory Forecasting
Boris Ivanovic
Yifeng Lin
Shubham Shrivastava
Punarjay Chakravarty
Marco Pavone
78
18
0
07 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
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for
  Planning, Control, and Simulation
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation
A. Kamenev
Lirui Wang
Ollin Boer Bohan
Ishwar Kulkarni
Bilal Kartal
Artem Molchanov
Stan Birchfield
David Nistér
Nikolai Smolyanskiy
27
40
0
23 Sep 2021
Self-Supervised Action-Space Prediction for Automated Driving
Self-Supervised Action-Space Prediction for Automated Driving
Faris Janjos
Maxim Dolgov
J. Marius Zöllner
28
12
0
21 Sep 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
METEOR:A Dense, Heterogeneous, and Unstructured Traffic Dataset With
  Rare Behaviors
METEOR:A Dense, Heterogeneous, and Unstructured Traffic Dataset With Rare Behaviors
Rohan Chandra
Xijun Wang
Mridul Mahajan
Rahul Kala
Rishitha Palugulla
Chandrababu Naidu
Alok Jain
Tianyi Zhou
21
15
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
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous
  Driving
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
Xuanchi Ren
Tao Yang
Erran L. Li
Alexandre Alahi
Qifeng Chen
30
24
0
03 Sep 2021
Reimagining an autonomous vehicle
Reimagining an autonomous vehicle
Jeffrey Hawke
E. Haibo
Vijay Badrinarayanan
Alex Kendall
31
11
0
12 Aug 2021
Interpretable Goal Recognition in the Presence of Occluded Factors for
  Autonomous Vehicles
Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles
Josiah P. Hanna
Arrasy Rahman
Elliot Fosong
Francisco Eiras
M. Dobre
John Redford
S. Ramamoorthy
Stefano V. Albrecht
33
25
0
05 Aug 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
M. Tomizuka
Chiho Choi
24
42
0
03 Aug 2021
Autonomy 2.0: Why is self-driving always 5 years away?
Autonomy 2.0: Why is self-driving always 5 years away?
Ashesh Jain
Luca Del Pero
Hugo Grimmett
Peter Ondruska
13
44
0
16 Jul 2021
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
Nachiket Deo
Eric M. Wolff
Oscar Beijbom
27
163
0
28 Jun 2021
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps
Lu Mi
Hang Zhao
C. Nash
Xiaohan Jin
Jiyang Gao
Chen Sun
Cordelia Schmid
Nir Shavit
Yuning Chai
Drago Anguelov
14
52
0
28 Jun 2021
Move Beyond Trajectories: Distribution Space Coupling for Crowd
  Navigation
Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation
Muchen Sun
Francesca Baldini
Pete Trautman
Todd D. Murphey
19
25
0
25 Jun 2021
Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent
  Trajectory Prediction
Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction
Xiaoyu Mo
Yang Xing
Chen Lv
27
24
0
14 Jun 2021
Heterogeneous-Agent Trajectory Forecasting Incorporating Class
  Uncertainty
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
Boris Ivanovic
Kuan-Hui Lee
P. Tokmakov
Blake Wulfe
R. McAllister
Adrien Gaidon
Marco Pavone
22
35
0
26 Apr 2021
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via
  Differentiable Simulation
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
Adam Scibior
Vasileios Lioutas
Daniele Reda
Peyman Bateni
Frank D. Wood
VGen
56
47
0
22 Apr 2021
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting
  through Multi-View Fusion of LiDAR Data
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data
A. Laddha
Shivam Gautam
Stefan Palombo
Shreyash Pandey
Carlos Vallespi-Gonzalez
3DPC
99
29
0
21 Apr 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The
  Waymo Open Motion Dataset
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
Scott Ettinger
Shuyang Cheng
Benjamin Caine
Chenxi Liu
Hang Zhao
...
Jiquan Ngiam
Vijay Vasudevan
Alexander McCauley
Jonathon Shlens
Drago Anguelov
149
532
0
20 Apr 2021
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
Sriram Narayanan
Ramin Moslemi
Francesco Pittaluga
Buyu Liu
Manmohan Chandraker
34
55
0
16 Apr 2021
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in
  Autonomous Vehicles
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles
Ionel Gog
Sukrit Kalra
Peter Schafhalter
Matthew A. Wright
Joseph E. Gonzalez
Ion Stoica
19
69
0
16 Apr 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
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent
  Forecasting
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting
Ye Yuan
Xinshuo Weng
Yanglan Ou
Kris M. Kitani
AI4TS
30
442
0
25 Mar 2021
Scenario-Based Trajectory Optimization in Uncertain Dynamic Environments
Scenario-Based Trajectory Optimization in Uncertain Dynamic Environments
O. de Groot
B. Brito
L. Ferranti
D. Gavrila
Javier Alonso-Mora
20
23
0
23 Mar 2021
Three Steps to Multimodal Trajectory Prediction: Modality Clustering,
  Classification and Synthesis
Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis
Jianhua Sun
Yuxuan Li
Haoshu Fang
Cewu Lu
34
72
0
14 Mar 2021
GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned
  Decision Trees for Autonomous Driving
GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving
Cillian Brewitt
Balint Gyevnar
Samuel Garcin
Stefano V. Albrecht
18
30
0
10 Mar 2021
On complementing end-to-end human behavior predictors with planning
On complementing end-to-end human behavior predictors with planning
Liting Sun
Xiaogang Jia
Anca Dragan
29
17
0
09 Mar 2021
Learning to Predict Vehicle Trajectories with Model-based Planning
Learning to Predict Vehicle Trajectories with Model-based Planning
Haoran Song
Di Luan
Wenchao Ding
M. Y. Wang
Qifeng Chen
16
118
0
06 Mar 2021
TPCN: Temporal Point Cloud Networks for Motion Forecasting
TPCN: Temporal Point Cloud Networks for Motion Forecasting
Maosheng Ye
Tongyi Cao
Qifeng Chen
3DPC
15
145
0
04 Mar 2021
Exploring Imitation Learning for Autonomous Driving with Feedback
  Synthesizer and Differentiable Rasterization
Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization
Jinyun Zhou
Rui Wang
Xu Liu
Yifei Jiang
Shu Jiang
J. Tao
Jinghao Miao
Shiyu Song
35
35
0
02 Mar 2021
Diverse Critical Interaction Generation for Planning and Planner
  Evaluation
Diverse Critical Interaction Generation for Planning and Planner Evaluation
Zhao-Heng Yin
Lingfeng Sun
Liting Sun
M. Tomizuka
Wei Zhan
16
21
0
01 Mar 2021
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction
  and Tracking
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking
Jiachen Li
Hengbo Ma
Zhihao Zhang
Jinning Li
M. Tomizuka
55
68
0
18 Feb 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
Deep Structured Reactive Planning
Deep Structured Reactive Planning
Jerry Liu
Wenyuan Zeng
R. Urtasun
Ersin Yumer
72
30
0
18 Jan 2021
Deep Multi-Task Learning for Joint Localization, Perception, and
  Prediction
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
John Phillips
Julieta Martinez
Ioan Andrei Bârsan
Sergio Casas
Abbas Sadat
R. Urtasun
35
36
0
17 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion
  Forecasting
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
Wenyuan Zeng
Ming Liang
Renjie Liao
R. Urtasun
GNN
28
176
0
17 Jan 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
Alexander Cui
Sergio Casas
Abbas Sadat
Renjie Liao
R. Urtasun
111
126
0
16 Jan 2021
Social NCE: Contrastive Learning of Socially-aware Motion
  Representations
Social NCE: Contrastive Learning of Socially-aware Motion Representations
Yuejiang Liu
Qi Yan
Alexandre Alahi
29
101
0
21 Dec 2020
ReCoG: A Deep Learning Framework with Heterogeneous Graph for
  Interaction-Aware Trajectory Prediction
ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction
Xiaoyu Mo
Yang Xing
Chen Lv
GNN
8
43
0
09 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
PrognoseNet: A Generative Probabilistic Framework for Multimodal
  Position Prediction given Context Information
PrognoseNet: A Generative Probabilistic Framework for Multimodal Position Prediction given Context Information
Thomas Kurbiel
Akash Sachdeva
Kun-li Zhao
Markus Buehren
13
2
0
02 Oct 2020
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar
  Fusion
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion
Meet Shah
Zhi-ling Huang
A. Laddha
Matthew Langford
B. Barber
Sidney Zhang
Carlos Vallespi-Gonzalez
R. Urtasun
24
36
0
02 Oct 2020
Map-Adaptive Goal-Based Trajectory Prediction
Map-Adaptive Goal-Based Trajectory Prediction
Lingyao Zhang
PoHao Su
Jerrick Hoang
G. C. Haynes
Micol Marchetti-Bowick
25
54
0
09 Sep 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
124
115
0
24 Aug 2020
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