Project AutoVision: Localization and 3D Scene Perception for an Autonomous 
Vehicle with a Multi-Camera System

Heng, Lionel; Choi, Benjamin; Cui, Zhaopeng; Geppert, Marcel; Hu, Sixing; Kuan, Benson; Liu, Peidong; Nguyen, Rang; Yeo, Ye Chuan; Geiger, Andreas; Lee, Gim Hee; Pollefeys, Marc; Sattler, Torsten

doi:10.1109/ICRA.2019.8793949

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Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System

Heng, L., Choi, B., Cui, Z., Geppert, M., Hu, S., Kuan, B., et al. (2019). Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System. In 2019 International Conference on Robotics and Automation (ICRA 2019) (pp. 4695-4702). Piscataway, NJ: IEEE. doi:10.1109/ICRA.2019.8793949.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-F46F-B Version Permalink: https://hdl.handle.net/21.11116/0000-0006-F470-8

Genre: Conference Paper

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Creators:
Heng, Lionel¹, Author
Choi, Benjamin¹, Author
Cui, Zhaopeng¹, Author
Geppert, Marcel¹, Author
Hu, Sixing¹, Author
Kuan, Benson¹, Author
Liu, Peidong¹, Author
Nguyen, Rang¹, Author
Yeo, Ye Chuan¹, Author
Geiger, Andreas², Author
Lee, Gim Hee¹, Author
Pollefeys, Marc¹, Author
Sattler, Torsten¹, Author

Affiliations:
1External Organizations, ou_persistent22
2Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344692

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Free keywords: Forschungsgruppe Geiger

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Language(s): eng - English

Dates: Published Online: 2019-08-12Date issued: 2019

Publication Status: Issued

Pages: -

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Table of Contents: -

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Identifiers: BibTex Citekey: Heng2019ICRA
DOI: 10.1109/ICRA.2019.8793949

Degree: -

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Title: International Conference on Robotics and Automation (ICRA 2019)

Place of Event: Montreal

Start-/End Date: 2019-05-20 - 2019-05-24

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Title: 2019 International Conference on Robotics and Automation (ICRA 2019)

Source Genre: Proceedings

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Publ. Info: Piscataway, NJ : IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 4695 - 4702 Identifier: ISBN: 978-1-5386-6027-0
ISBN: 978-1-5386-6026-3
ISBN: 978-1-5386-8176-3
ISSN: 2577-087X
ISSN: 1050-4729
DOI: 10.1109/ICRA39644.2019