ETLi: Efficiently annotated traffic LiDAR dataset using incremental and suggestive annotation
Author:
Affiliation:
1. Artificial Intelligence Research Laboratory Electronics and Telecommunications Research Institute Daejeon Rep. of Korea
2. Electronics and Avionics Engineering Department Korea Aerospace University Goyang Rep. of Korea
Publisher
Wiley
Subject
Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials
Link
https://onlinelibrary.wiley.com/doi/pdf/10.4218/etrij.2021-0055
Reference34 articles.
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3. A.Rosinolet al. Kimera: An open‐source library for real‐time metric‐semantic localization and mapping in Proc. IEEE Int. Conf. Robot. Autom. (Paris France) May2020 pp.1689‐1696.
4. C.Yuet al. DS‐SLAM: A semantic visual slam towards dynamic environments in Proc. IEEE/RSJ Int. Conf. Intell. Robot. Syst. (Madrid Spain) Oct.2018 pp.1168‐1174.
5. M.Kanekoet al. Mask‐slam: Robust feature‐based monocular slam by masking using semantic segmentation in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Workshops (Salt Lake City UT USA) June2018 pp.258‐266.
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