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

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

2 February 2023

Maurice Brenner

Matthias Althoff

ArXiv (abs)PDF HTML

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

17 / 17 papers shown

Title
Predictive Traffic Rule Compliance using Reinforcement Learning Yanliang Huang Sebastian Mair Zhuoqi Zeng Amr Alanwar 87 0 0 29 Mar 2025
StarNet: Joint Action-Space Prediction with Star Graphs and Implicit Global Frame Self-Attention Faris Janjos Maxim Dolgov Johann Marius Zöllner GNN 3DPC 58 17 0 26 Nov 2021
Trajectory Prediction with Graph-based Dual-scale Context Fusion Lu Zhang Peiliang Li Jing Chen Shaojie Shen 74 30 0 02 Nov 2021
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 87 105 0 01 Apr 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting Wenyuan Zeng Ming Liang Renjie Liao R. Urtasun GNN 90 183 0 17 Jan 2021
TNT: Target-driveN Trajectory Prediction Hang Zhao Jiyang Gao Tian-Shing Lan Chen Sun Benjamin Sapp ... Yi Shen Yuning Chai Cordelia Schmid Congcong Li Dragomir Anguelov 105 557 0 19 Aug 2020
Learning Lane Graph Representations for Motion Forecasting Ming Liang Binh Yang Rui Hu Yun Chen Renjie Liao Song Feng R. Urtasun 72 573 0 27 Jul 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 236 821 0 16 Jul 2020
Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments Patrick Hart Alois Knoll GNN 46 38 0 22 Jun 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 90 290 0 07 May 2020
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 57 70 0 28 Feb 2020
GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving Xin Li Xiaowen Ying Mooi Choo Choo Chuah 63 238 0 17 Jul 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 229 4,341 0 06 Mar 2019
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems R. Krajewski Julian Bock Laurent Kloeker L. Eckstein 85 994 0 11 Oct 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 761 3,121 0 04 Jun 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 810 3,287 0 24 Nov 2016
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 251 6,779 0 03 Sep 2014

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