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In this paper, we focus on obtaining 2D and 3D labels, as well as track IDs for objects on the road with the help of a novel 3D Bounding Box Annotation Toolbox (3D BAT).
J. Xie, M. Kiefel, M.-T. Sun, and A. Geiger, “Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer,” in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE, pp. 3688–3697, 00048. [Online]. Available: http://ieeexplore.ieee.org/document/7780770/
2016
Earlier work this paper cites.
2018
Earlier work this paper cites.
N. Deo, A. Rangesh, and M. M. Trivedi, “How would surround vehicles move? a unified framework for maneuver classification and motion prediction,” IEEE Transactions on Intelligent Vehicles , vol. 3, no. 2, pp. 129–140, 2018
2018
Cited alongside, same era.
2018
Cited alongside, same era.
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D. R. Berger, H. S. Seung, and J. W. Lichtman, “VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks,” vol. 12, 00001. [Online]. Available: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198149/
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C. Vondrick, D. Patterson, and D. Ramanan, “Efficiently Scaling up Crowdsourced Video Annotation: A Set of Best Practices for High Quality, Economical Video Labeling,” vol. 101, no. 1, pp. 184–204, 00000. [Online]. Available: http://link.springer.com/10.1007/s11263-012-0564-1
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B. C. Russell, A. Torralba, K. P. Murphy, and W. T. Freeman, “LabelMe: A Database and Web-Based Tool for Image Annotation,” vol. 77, no. 1-3, pp. 157–173, 02439. [Online]. Available: http://link.springer.com/10.1007/s11263-007-0090-8
Cited in the paper.
Cited in the paper.
P. Stenetorp, S. Pyysalo, G. Topic, T. Ohta, S. Ananiadou, and J. Tsujii, “Brat: A Web-based Tool for NLP-Assisted Text Annotation,” p. 6
Cited in the paper.
R. E. de Castilho, S. M. Yimam, S. Hartmann, I. Gurevych, A. Frank, and C. Biemann, “A Web-based Tool for the Integrated Annotation of Semantic and Syntactic Structures,” p. 9, 00020
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N. Fiedler, M. Bestmann, and N. Hendrich, “ImageTagger: An Open Source Online Platform for Collaborative Image Labeling,” p. 8
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ScaleAi. Sensor Fusion: 3D Point Cloud Annotation - Scale. 00000. [Online]. Available: https://scale.ai/sensor-fusion-annotation
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playment. 3D Point Cloud Annotation — Data Labeling Platform. 00000. [Online]. Available: https://playment.io
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C. Plachetka, J. Rieken, and M. Maurer, “The TUBS Road User Dataset: A New LiDAR Dataset and its Application to CNN-based Road User Classification for Automated Vehicles,” in 2018 21st International Conference on Intelligent Transportation Systems (ITSC) , pp. 2623–2630, 00000
2018
Later among the works it cites.
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