AutoGraph: Predicting Lane Graphs From Traffic Observations-Reference-Cited by-同舟云学术

AutoGraph: Predicting Lane Graphs From Traffic Observations

Published:2024-01 Issue:1 Volume:9 Page:73-80
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Zürn Jannik¹^ORCID,Posner Ingmar²^ORCID,Burgard Wolfram³^ORCID

Affiliation:

1. Faculty of Engineering, University of Freiburg, Freiburg, Germany

2. Applied AI Lab, Oxford University, Oxford, U.K.

3. Department of Engineering, University of Technology Nuremberg, Nuremberg, Germany

Funder

UKRI/EPSRC Programme

DFG

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10320104/10313955.pdf?arnumber=10313955

Reference31 articles.

1. GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation

2. THOMAS: Trajectory heatmap output with learned multi-agent sampling;gilles;Proc Int Conf Learn Representations,0

3. DAGMapper: Learning to Map by Discovering Lane Topology

4. Lane-Level Street Map Extraction from Aerial Imagery

5. TrackletMapper: Ground surface segmentation and mapping from traffic participant trajectories;zürn;Proc 6th Annu Conf Robot Learn,0

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