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Geometric Deep Learning for Autonomous Driving: Unlocking the Power of
  Graph Neural Networks With CommonRoad-Geometric

Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric

2 February 2023
Eivind Meyer
Maurice Brenner
Bowen Zhang
Max Schickert
Bilal Musani
Matthias Althoff
    GNN
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Papers citing "Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric"

5 / 5 papers shown
Title
Predictive Traffic Rule Compliance using Reinforcement Learning
Predictive Traffic Rule Compliance using Reinforcement Learning
Yanliang Huang
Sebastian Mair
Zhuoqi Zeng
Amr Alanwar
46
0
0
29 Mar 2025
Automatic Traffic Scenario Conversion from OpenSCENARIO to CommonRoad
Automatic Traffic Scenario Conversion from OpenSCENARIO to CommonRoad
Yuanfei Lin
Michael Ratzel
Matthias Althoff
11
1
0
17 May 2023
Deep Occupancy-Predictive Representations for Autonomous Driving
Deep Occupancy-Predictive Representations for Autonomous Driving
Eivind Meyer
Lars Frederik Peiss
Matthias Althoff
34
3
0
07 Mar 2023
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
185
1,169
0
03 Mar 2020
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
250
3,236
0
24 Nov 2016
1