3D Object Detection for Autonomous Driving: A Comprehensive Survey

Mao, Jiageng; Shi, Shaoshuai; Wang, Xiaogang; Li, Hongsheng

doi:10.1007/s11263-023-01790-1

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3D Object Detection for Autonomous Driving: A Comprehensive Survey

Mao, J., Shi, S., Wang, X., & Li, H. (2023). 3D Object Detection for Autonomous Driving: A Comprehensive Survey. International Journal of Computer Vision. doi:10.1007/s11263-023-01790-1.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-3FEF-1 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-3FF0-E

Genre: Journal Article

Latex : {3D} Object Detection for Autonomous Driving: {A} Comprehensive Survey

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https://rdcu.be/ddRPd (Publisher version) Open Access status unknown

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Creators:
Mao, Jiageng¹, Author
Shi, Shaoshuai², Author
Wang, Xiaogang¹, Author
Li, Hongsheng¹, Author

Affiliations:
1External Organizations, ou_persistent22
2Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547

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Language(s): eng - English

Dates: Created: 2021-08-27Published Online: 2023

Publication Status: Published online

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Identifiers: BibTex Citekey: Mao23
DOI: 10.1007/s11263-023-01790-1

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Title: International Journal of Computer Vision

Other : Int. J. Comput. Vis.

Source Genre: Journal

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Publ. Info: New York, NY : Springer

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 0920-5691
CoNE: https://pure.mpg.de/cone/journals/resource/954925564668