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Graph Neural Networks for Modelling Traffic Participant Interaction

Graph Neural Networks for Modelling Traffic Participant Interaction

4 March 2019
Frederik Diehl
T. Brunner
Michael Truong-Le
Alois Knoll
    HAI
    GNN
ArXivPDFHTML

Papers citing "Graph Neural Networks for Modelling Traffic Participant Interaction"

24 / 24 papers shown
Title
Learning to Decouple Complex Systems
Learning to Decouple Complex Systems
Zihan Zhou
Tianshu Yu
BDL
79
4
0
17 Feb 2025
Scene-Extrapolation: Generating Interactive Traffic Scenarios
Scene-Extrapolation: Generating Interactive Traffic Scenarios
Maximilian Zipfl
barbara Schutt
J. Marius Zöllner
36
0
0
26 Apr 2024
CASPNet++: Joint Multi-Agent Motion Prediction
CASPNet++: Joint Multi-Agent Motion Prediction
Maximilian Schäfer
Kun-li Zhao
A. Kummert
44
6
0
15 Aug 2023
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A
  comprehensive survey, Challenges, and Future Research Directions
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions
Vibha Bharilya
Neetesh Kumar
50
47
0
12 Jul 2023
Cheap and Deterministic Inference for Deep State-Space Models of
  Interacting Dynamical Systems
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems
Andreas Look
M. Kandemir
Barbara Rakitsch
Jan Peters
BDL
41
6
0
02 May 2023
Online and Predictive Warning System for Forced Lane Changes using Risk
  Maps
Online and Predictive Warning System for Forced Lane Changes using Risk Maps
Tim Puphal
Benedict Flade
Malte Probst
Volker Willert
J. Adamy
Julian Eggert
39
9
0
15 Mar 2023
An Efficient Two-stage Gradient Boosting Framework for Short-term
  Traffic State Estimation
An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimation
Yichao Lu
52
1
0
21 Feb 2023
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with
  Neural ODEs
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs
Theodor Westny
Joel Oskarsson
Björn Olofsson
Erik Frisk
61
33
0
01 Feb 2023
How Does Traffic Environment Quantitatively Affect the Autonomous
  Driving Prediction?
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction?
Wenbo Shao
Yan Xu
Jun Yu Li
Chen Lv
Weida Wang
Hong Wang
37
9
0
11 Jan 2023
Graph Federated Learning with Hidden Representation Sharing
Graph Federated Learning with Hidden Representation Sharing
Shuang Wu
Mingxuan Zhang
Yuantong Li
Carl Yang
Pan Li
FedML
50
1
0
23 Dec 2022
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation
L. Zheng
Sanghyun Son
Ming-Chyuan Lin
40
3
0
07 Oct 2022
Context-Aware Scene Prediction Network (CASPNet)
Context-Aware Scene Prediction Network (CASPNet)
Maximilian Schäfer
Kun-li Zhao
Markus Bühren
A. Kummert
43
10
0
18 Jan 2022
Towards Traffic Scene Description: The Semantic Scene Graph
Towards Traffic Scene Description: The Semantic Scene Graph
Maximilian Zipfl
J. Marius Zöllner
3DV
29
21
0
19 Nov 2021
Graph and Recurrent Neural Network-based Vehicle Trajectory Prediction
  For Highway Driving
Graph and Recurrent Neural Network-based Vehicle Trajectory Prediction For Highway Driving
Xiaoyu Mo
Yang Xing
Chen Lv
GNN
26
54
0
08 Jul 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
32
24
0
14 Jun 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
30
118
0
16 Dec 2020
Clustering multivariate functional data using unsupervised binary trees
Clustering multivariate functional data using unsupervised binary trees
Steven Golovkine
N. Klutchnikoff
V. Patilea
34
12
0
10 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
23
43
0
09 Dec 2020
A Traffic Light Dynamic Control Algorithm with Deep Reinforcement
  Learning Based on GNN Prediction
A Traffic Light Dynamic Control Algorithm with Deep Reinforcement Learning Based on GNN Prediction
Xiaorong Hu
Chenguang Zhao
Gang Wang
53
11
0
29 Sep 2020
A Taxonomy and Review of Algorithms for Modeling and Predicting Human
  Driver Behavior
A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior
Kyle Brown
Katherine Driggs-Campbell
Mykel J. Kochenderfer
27
19
0
15 Jun 2020
SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random
  Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural
  Network
SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network
Hyeongseok Jeon
Junwon Choi
Dongsuk Kum
GNN
32
68
0
28 Feb 2020
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving
  Applications: A Review
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review
Sajjad Mozaffari
Omar Y. Al-Jarrah
M. Dianati
P. Jennings
A. Mouzakitis
29
136
0
25 Dec 2019
Conditional Flow Variational Autoencoders for Structured Sequence
  Prediction
Conditional Flow Variational Autoencoders for Structured Sequence Prediction
Apratim Bhattacharyya
M. Hanselmann
Mario Fritz
Bernt Schiele
C. Straehle
BDL
DRL
AI4TS
32
84
0
24 Aug 2019
Providentia -- A Large-Scale Sensor System for the Assistance of
  Autonomous Vehicles and Its Evaluation
Providentia -- A Large-Scale Sensor System for the Assistance of Autonomous Vehicles and Its Evaluation
Annkathrin Krämmer
Christoph Schöller
Dhiraj Gulati
Venkatnarayanan Lakshminarasimhan
F. Kurz
D. Rosenbaum
Claus Lenz
Alois C. Knoll
35
44
0
16 Jun 2019
1