ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.04259
  4. Cited By
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized
  Representation

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

8 May 2020
Jiyang Gao
Chen Sun
Hang Zhao
Yi Shen
Dragomir Anguelov
Congcong Li
Cordelia Schmid
ArXivPDFHTML

Papers citing "VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation"

50 / 456 papers shown
Title
ProphNet: Efficient Agent-Centric Motion Forecasting with
  Anchor-Informed Proposals
ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals
Xishun Wang
Tong Su
Fang Da
Xiaodong Yang
32
54
0
21 Mar 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
Social Occlusion Inference with Vectorized Representation for Autonomous
  Driving
Social Occlusion Inference with Vectorized Representation for Autonomous Driving
Bochao Huang
Ping Sun
27
0
0
18 Mar 2023
Traj-MAE: Masked Autoencoders for Trajectory Prediction
Traj-MAE: Masked Autoencoders for Trajectory Prediction
Hao Chen
Jiaze Wang
Kun Shao
Furui Liu
Jianye Hao
Chenyong Guan
Guangyong Chen
Pheng-Ann Heng
57
38
0
12 Mar 2023
GameFormer: Game-theoretic Modeling and Learning of Transformer-based
  Interactive Prediction and Planning for Autonomous Driving
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving
Zhiyu Huang
Haochen Liu
Chen Lv
OffRL
62
89
0
10 Mar 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 Networks
Xing Gao
Xiaogang Jia
Yikang Li
H. Xiong
25
32
0
08 Mar 2023
Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction
  for Connected Autonomous Vehicles
Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles
Muzi Peng
Jiangwei Wang
Dongjin Song
Fei Miao
Lili Su
11
5
0
08 Mar 2023
TrafficBots: Towards World Models for Autonomous Driving Simulation and
  Motion Prediction
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction
Zhejun Zhang
Alexander Liniger
Dengxin Dai
F. I. F. Richard Yu
Luc Van Gool
76
42
0
07 Mar 2023
IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint
  Multi-Agent Trajectory Prediction
IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction
Dekai Zhu
Guangyao Zhai
Yan Di
Fabian Manhardt
Hendrik Berkemeyer
Tuan Tran
Nassir Navab
F. Tombari
Benjamin Busam
16
17
0
01 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
46
51
0
27 Feb 2023
Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
Pei Xu
J. Hayet
Ioannis Karamouzas
37
16
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
28
31
0
15 Feb 2023
Exploring Navigation Maps for Learning-Based Motion Prediction
Exploring Navigation Maps for Learning-Based Motion Prediction
Julian Schmidt
Julian Jordan
Franz Gritschneder
T. Monninger
Klaus C. J. Dietmayer
35
3
0
13 Feb 2023
Standing Between Past and Future: Spatio-Temporal Modeling for
  Multi-Camera 3D Multi-Object Tracking
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking
Ziqi Pang
Jie Li
P. Tokmakov
Di Chen
Sergey Zagoruyko
Yu-xiong Wang
3DPC
33
47
0
07 Feb 2023
Vectorized Scenario Description and Motion Prediction for Scenario-Based
  Testing
Vectorized Scenario Description and Motion Prediction for Scenario-Based Testing
Max Winkelmann
Constantin Vasconi
Steffen Müller
24
2
0
02 Feb 2023
Holistic Graph-based Motion Prediction
Holistic Graph-based Motion Prediction
Daniel Grimm
Philip Schorner
M. Dressler
J. -Marius Zöllner
26
13
0
31 Jan 2023
Failure Detection for Motion Prediction of Autonomous Driving: An
  Uncertainty Perspective
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective
Wenbo Shao
Yan Xu
Liang Peng
Jun Li
Hong Wang
32
15
0
11 Jan 2023
InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning
InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning
Juyeb Shin
François Rameau
H. Jeong
Dongsuk Kum
36
35
0
10 Jan 2023
SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural
  Networks
SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks
T. Monninger
Julian Schmidt
Jan Rupprecht
D. Raba
Julian Jordan
Daniel Frank
Steffen Staab
Klaus C. J. Dietmayer
GNN
9
28
0
09 Jan 2023
Multi-Vehicle Trajectory Prediction at Intersections using State and
  Intention Information
Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information
Dekai Zhu
Qadeer Ahmad Khan
Daniel Cremers
32
1
0
06 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
3DPC
AI4TS
24
601
0
02 Jan 2023
ParallelNet: Multi-mode Trajectory Prediction by Multi-mode Trajectory
  Fusion
ParallelNet: Multi-mode Trajectory Prediction by Multi-mode Trajectory Fusion
Fei Wu
Luoyu Chen
Hao-Tien Lu
28
3
0
20 Dec 2022
Planning-oriented Autonomous Driving
Planning-oriented Autonomous Driving
Yi Hu
Jiazhi Yang
Li Chen
Keyu Li
Chonghao Sima
...
Xiaosong Jia
Qiang Liu
Jifeng Dai
Yu Qiao
Hongyang Li
52
589
0
20 Dec 2022
Conditional Predictive Behavior Planning with Inverse Reinforcement
  Learning for Human-like Autonomous Driving
Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving
Zhiyu Huang
Haochen Liu
Jingda Wu
Chen Lv
33
55
0
17 Dec 2022
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for
  Autonomous Driving
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving
Wenjie Luo
C. Park
Andre Cornman
Benjamin Sapp
Drago Anguelov
20
37
0
16 Dec 2022
Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection
Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection
John Lambert
James Hays
26
28
0
14 Dec 2022
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty
  Optimization
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization
Neslihan Kose
R. Krishnan
Akash Dhamasia
Omesh Tickoo
Michael Paulitsch
32
1
0
09 Dec 2022
Towards Explainable Motion Prediction using Heterogeneous Graph
  Representations
Towards Explainable Motion Prediction using Heterogeneous Graph Representations
Sandra Carrasco Limeros
Sylwia Majchrowska
Joakim Johnander
Christoffer Petersson
David Fernández Llorca
37
15
0
07 Dec 2022
Perceive, Interact, Predict: Learning Dynamic and Static Clues for
  End-to-End Motion Prediction
Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction
Bo Jiang
Shaoyu Chen
Xinggang Wang
Bencheng Liao
Tianheng Cheng
Jiajie Chen
Helong Zhou
Qian Zhang
Wenyu Liu
Chang Huang
43
23
0
05 Dec 2022
BEV-Locator: An End-to-end Visual Semantic Localization Network Using
  Multi-View Images
BEV-Locator: An End-to-end Visual Semantic Localization Network Using Multi-View Images
Zhihuang Zhang
Mengze Xu
Wenqiang Zhou
T. Peng
L. Li
S. Poslad
22
18
0
27 Nov 2022
FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned
  Directed Acyclic Interaction Graphs
FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs
Luke Rowe
M. Ethier
Eli-Henry Dykhne
Krzysztof Czarnecki
53
32
0
27 Nov 2022
Relation-based Motion Prediction using Traffic Scene Graphs
Relation-based Motion Prediction using Traffic Scene Graphs
Maximilian Zipfl
Felix Hertlein
Achim Rettinger
Steffen Thoma
Lavdim Halilaj
J. Luettin
Stefan Schmid
C. Henson
GNN
16
7
0
24 Nov 2022
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based
  Trajectory Refinement
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement
Sehwa Choi
Jungho Kim
Ju-seok Yun
Junwon Choi
26
18
0
16 Nov 2022
GET-DIPP: Graph-Embedded Transformer for Differentiable Integrated
  Prediction and Planning
GET-DIPP: Graph-Embedded Transformer for Differentiable Integrated Prediction and Planning
Jiawei Sun
Chengran Yuan
Shuo Sun
Zhiyang Liu
Terence Goh
A. Wong
K. P. Tee
M. Ang
28
6
0
11 Nov 2022
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
Alexander Cui
Sergio Casas
K. Wong
Simon Suo
R. Urtasun
24
62
0
04 Nov 2022
Safe Real-World Autonomous Driving by Learning to Predict and Plan with
  a Mixture of Experts
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
S. Pini
C. Perone
Aayush Ahuja
Ana Ferreira
Moritz Niendorf
Sergey Zagoruyko
26
36
0
03 Nov 2022
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving
Q. Sun
Xin Huang
B. Williams
Hang Zhao
37
3
0
03 Nov 2022
Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning
Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning
Jianwu Fang
C. Zhu
Pu Zhang
Hongkai Yu
Jianru Xue
38
16
0
02 Nov 2022
Towards trustworthy multi-modal motion prediction: Holistic evaluation
  and interpretability of outputs
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs
Sandra Carrasco Limeros
Sylwia Majchrowska
Joakim Johnander
Christoffer Petersson
Miguel Ángel Sotelo
David Fernández Llorca
43
11
0
28 Oct 2022
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling
Q. Sun
Xin Huang
B. Williams
Hang Zhao
35
36
0
26 Oct 2022
PlanT: Explainable Planning Transformers via Object-Level
  Representations
PlanT: Explainable Planning Transformers via Object-Level Representations
Katrin Renz
Kashyap Chitta
Otniel-Bogdan Mercea
A. Sophia Koepke
Zeynep Akata
Andreas Geiger
ViT
36
94
0
25 Oct 2022
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles
  with Vectorized Representation
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation
Ding Li
Qichao Zhang
Shuai Lu
Yifeng Pan
Dongbin Zhao
23
5
0
19 Oct 2022
Motion Inspired Unsupervised Perception and Prediction in Autonomous
  Driving
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving
Mahyar Najibi
Jingwei Ji
Yin Zhou
C. Qi
Xinchen Yan
Scott Ettinger
Drago Anguelov
36
62
0
14 Oct 2022
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
Lan Feng
Quanyi Li
Zhenghao Peng
Shuhan Tan
Bolei Zhou
33
82
0
12 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
49
9
0
10 Oct 2022
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted
  Empirical Risk Minimization
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization
Eesha Kumar
Yiming Zhang
S. Pini
Simon Stent
Ana Ferreira
Sergey Zagoruyko
C. Perone
OffRL
20
1
0
05 Oct 2022
Motion Transformer with Global Intention Localization and Local Movement
  Refinement
Motion Transformer with Global Intention Localization and Local Movement Refinement
Shaoshuai Shi
Li Jiang
Dengxin Dai
Bernt Schiele
27
220
0
27 Sep 2022
Exploring Attention GAN for Vehicle Motion Prediction
Exploring Attention GAN for Vehicle Motion Prediction
Carlos Gómez-Huélamo
Marcos V. Conde
Miguel E. Ortiz
Santiago Montiel
R. Barea
L. Bergasa
16
10
0
26 Sep 2022
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge --
  Motion Prediction
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction
Shaoshuai Shi
Li Jiang
Dengxin Dai
Bernt Schiele
40
17
0
20 Sep 2022
GANet: Goal Area Network for Motion Forecasting
GANet: Goal Area Network for Motion Forecasting
Mingkun Wang
Xinge Zhu
Changqian Yu
W. Li
Yuexin Ma
Ruochun Jin
Xiaoguang Ren
Dongchun Ren
Mingxu Wang
Wenjing Yang
27
62
0
20 Sep 2022
Previous
123...1056789
Next