OHM: GPU Based Occupancy Map Generation-Reference-Cited by-同舟云学术

OHM: GPU Based Occupancy Map Generation

Published:2022-10 Issue:4 Volume:7 Page:11078-11085
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Stepanas Kazys¹^ORCID,Williams Jason¹^ORCID,Hernandez Emili²^ORCID,Ruetz Fabio¹^ORCID,Hines Thomas¹^ORCID

Affiliation:

1. Robotics and Autonomous Systems Group (RASG), CSIRO, Pullenvale, QLD, Australia

2. CSIRO RASG, Pullenvale, QLD, Australia

Funder

Defense Advanced Research Projects Agency

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/ielx7/7083369/9831196/09849048.pdf?arnumber=9849048

Reference35 articles.

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2. nvblox,2022

3. Open3D: A modern library for 3D data processing;zhou,2018

4. Gpu-voxels,2022

5. Performance Evaluation of INT8 Quantized Inference on Mobile GPUs

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