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CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph
  Convolutional Neural Networks and Multi-Head Self-Attention

CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention

9 February 2022
Julian Schmidt
Julian Jordan
Franz Gritschneder
Klaus C. J. Dietmayer
ArXivPDFHTML

Papers citing "CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention"

19 / 19 papers shown
Title
FollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following
  Trajectory Prediction
FollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following Trajectory Prediction
Junwei You
Rui Gan
Weizhe Tang
Zilin Huang
Jiaxi Liu
...
Keshu Wu
Keke Long
Sicheng Fu
Sikai Chen
Bin Ran
DiffM
68
0
0
23 Nov 2024
Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding
Xiaodong Liu
Yucheng Xing
Xin Wang
31
0
0
17 Nov 2024
Fast and Efficient Transformer-based Method for Bird's Eye View Instance
  Prediction
Fast and Efficient Transformer-based Method for Bird's Eye View Instance Prediction
Miguel Antunes-García
L. Bergasa
Santiago Montiel-Marín
R. Barea
Fabio Sánchez-García
Ángel Llamazares
29
0
0
11 Nov 2024
GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility:
  Opportunities and Challenges for Integrating Large Language Models (LLMs) and
  Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems
GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems
Haowen Xu
Jinghui Yuan
Anye Zhou
Guanhao Xu
Wan Li
Xuegang Ban
Xinyue Ye
21
8
0
31 Aug 2024
Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous
  Vehicle Decision-Making in Dynamic Environment
Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Vehicle Decision-Making in Dynamic Environment
Jayabrata Chowdhury
Venkataramanan Shivaraman
Sumit Dangi
Suresh Sundaram
P. B. Sujit
36
3
0
12 Jul 2024
KI-PMF: Knowledge Integrated Plausible Motion Forecasting
KI-PMF: Knowledge Integrated Plausible Motion Forecasting
Abhishek Vivekanandan
Ahmed Abouelazm
Philip Schorner
J. Marius Zöllner
22
3
0
18 Oct 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
19
4
0
06 Sep 2023
Joint Out-of-Distribution Detection and Uncertainty Estimation for
  Trajectory Prediction
Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction
Julian Wiederer
Julian Schmidt
U. Kressel
Klaus C. J. Dietmayer
Vasileios Belagiannis
UQCV
50
6
0
03 Aug 2023
A Fast and Map-Free Model for Trajectory Prediction in Traffics
A Fast and Map-Free Model for Trajectory Prediction in Traffics
Junhong Xiang
Jingming Zhang
Zhixiong Nan
19
7
0
19 Jul 2023
Trajectory Prediction with Observations of Variable-Length for Motion
  Planning in Highway Merging scenarios
Trajectory Prediction with Observations of Variable-Length for Motion Planning in Highway Merging scenarios
Sajjad Mozaffari
Mreza Alipour Sormoli
K. Koufos
Graham Lee
M. Dianati
31
8
0
08 Jun 2023
LMR: Lane Distance-Based Metric for Trajectory Prediction
LMR: Lane Distance-Based Metric for Trajectory Prediction
Julian Schmidt
T. Monninger
Julian Jordan
Klaus C. J. Dietmayer
31
3
0
12 Apr 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
27
5
0
12 Apr 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
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
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of
  Connected Autonomous Vehicles in Challenging Scenarios
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios
Zhili Zhang
Songyang Han
Jiangwei Wang
Fei Miao
35
19
0
05 Oct 2022
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent
  Trajectories
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories
Julian Wiederer
Julian Schmidt
U. Kressel
Klaus C. J. Dietmayer
Vasileios Belagiannis
AI4TS
43
7
0
05 Sep 2022
MEAT: Maneuver Extraction from Agent Trajectories
MEAT: Maneuver Extraction from Agent Trajectories
Julian Schmidt
Julian Jordan
D. Raba
Tobias Welz
Klaus C. J. Dietmayer
28
3
0
10 Jun 2022
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
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
152
155
0
23 Jul 2020
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