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로봇학회논문지 = The journal of Korea Robotics Society, v.17 no.3, 2022년, pp.245 - 254
심성대 (ADD) , 민지홍 (ADD) , 안성용 (ADD) , 이종우 (ADD) , 이정석 (ADD) , 배광탁 (ADD) , 김병준 (ADD) , 서준원 (ADD) , 최덕선 (ADD)
AI-Helper
Sensor dataset for autonomous driving is one of the essential components as the deep learning approaches are widely used. However, most driving datasets are focused on typical environments such as sunny or cloudy. In addition, most datasets deal with color images and lidar. In this paper, we propose...
A. Geiger, P. Lenz, and R. Urtasun, "Are we ready for autonomous driving? the KITTI vision benchmark suite," 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, 2012, DOI: 10.1109/CVPR.2012.6248074.
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele, "The Cityscapes dataset for semantic urban scene understanding." 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, 2016, DOI: 10.1109/CVPR.2016.350.
Waymo, Waymo Open Dataset: An autonomous driving dataset, [Online], https://waymo.com/open, Accessed: August 29, 2019.
M.-F. Chang, J. Lambert, P. Sangkloy, J. Singh, S. Bak, A. Hartnett, D. Wang, P. Carr, S. Lucey, D. Ramanan, and J. Hays, "Argoverse: 3d tracking and forecasting with rich maps," 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long beach, USA, 2019, DOI: 10.1109/CVPR.2019.00895.
H. Caesar, V. Bankiti, A. H. Lang, S. Vora, V. E. Liong, Q. Xu, and O. Beijbom, "nuscenes: A multimodal dataset for autonomous driving," 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2020, DOI: 10.1109/CVPR42600.2020.01164.
Y. Choi, N. Kim, S. Hwang, K. Park, J. Yoon, K. An, and I. S. Kweon, "KAIST multi-spectral day/night data set for autonomous and assisted driving," IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 3, Mar., 2018, DOI: 10.1109/TITS.2018.2791533.
Z. Zhang, "A flexible new technique for camera calibration," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 11, Nov., 2000, DOI: 10.1109/34.888718.
MATLAB camera calibration toolbox, [Online] https://www.mathworks.com/help/vision/camera-calibration.html, Accessed: April 10, 2018.
S. Sim, J. Sock, and K. Kwak, "Indirect correspondence-based robust extrinsic calibration of LiDAR and camera," Sensors, vol. 16, no. 6, Jun., 2016, DOI: 10.3390/s16060933.
Automatic Weather System, Korea Meteorological Agency, [Online], http://www.weather.go.kr/weather/observation/aws_table_popup.jsp, Accessed: Jul. 28, 2020.
R. Joseph and A. Farhadi, "YOLOv3: An Incremental Improvement," arXiv preprint rXiv:1804.02767, 2018, DOI: 10.48550/arXiv.1804.02767.
Y. Tianwei, X. Zhou, and P. Krahenbuhl, "Center-based 3d object detection and tracking," 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, USA, 2021, DOI: 10.1109/CVPR46437.2021.01161.
C. Zhe, J. Zhang, and D. Tao, "Progressive lidar adaptation for road detection," IEEE/CAA Journal of Automatica Sinica, vol. 6, no. 3, May, 2019, DOI: 10.1109/JAS.2019.1911459.
L. Caltagirone, S. Scheidegger, L. Svensson, and M. Wahde, "Fast LIDAR-based road detection using fully convolutional neural networks," 2017 IEEE Intelligent Vehicles Symposium (IV), Redondo Beach, USA, 2017, DOI: 10.1109/IVS.2017.7995848.
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