Fetching the paper…
Reading the bibliography…
With the increasing global popularity of self-driving cars, there is an immediate need for challenging real-world datasets for benchmarking and training various computer vision tasks such as 3D object detection.
1909
Earlier work this paper cites.
G. Bradski, “The OpenCV Library,” Dr. Dobb’s Journal of Software Tools , 2000
2000
Earlier work this paper cites.
R. Unnikrishnan and M. Hebert, “Fast extrinsic calibration of a laser rangefinder to a camera,” Tech. Rep. CMU-RI-TR-05-09 , 2005
2005
Earlier work this paper cites.
G. J. Brostow, J. Shotton, J. Fauqueur, and R. Cipolla, “Segmentation and recognition using structure from motion point clouds,” in European Conference on Computer Vision , 2008
2008
Earlier work this paper cites.
M. Enzweiler and D. M. Gavrila, “Monocular pedestrian detection: Survey and experiments,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 31, no. 12, pp. 2179–2195, 2008
2008
Earlier work this paper cites.
A. Ess, B. Leibe, K. Schindler, and L. Van Gool, “A mobile vision system for robust multi-person tracking,” in IEEE Conference on Computer Vision and Pattern Recognition , 2008
2008
Earlier work this paper cites.
P. Dollar, C. Wojek, B. Schiele, and P. Perona, “Pedestrian detection: An evaluation of the state of the art,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 34, no. 4, pp. 743–761, 2011
2011
Earlier work this paper cites.
A. Geiger, P. Lenz, and R. Urtasun, “Are we ready for autonomous driving? the kitti vision benchmark suite,” in IEEE Conference on Computer Vision and Pattern Recognition , June 2012, pp. 3354–3361
2012
Earlier work this paper cites.
A. Geiger, P. Lenz, C. Stiller, and R. Urtasun, “Vision meets robotics: The kitti dataset,” The International Journal of Robotics Research , vol. 32, no. 11, pp. 1231–1237, 2013
2013
Cited alongside, same era.
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,” in IEEE Conference on Computer Vision and Pattern Recognition , 2016
2016
Cited alongside, same era.
G. Neuhold, T. Ollmann, S. Rota Bulo, and P. Kontschieder, “The mapillary vistas dataset for semantic understanding of street scenes,” in IEEE Conference on Computer Vision and Pattern Recognition , 2017
2017
Cited alongside, same era.
W. Wang, K. Sakurada, and N. Kawaguchi, “Reflectance intensity assisted automatic and accurate extrinsic calibration of 3d lidar and panoramic camera using a printed chessboard,” Remote Sensing , vol. 9, no. 8, 2017
2017
Cited alongside, same era.
X. Huang, X. Cheng, Q. Geng, B. Cao, D. Zhou, P. Wang, Y. Lin, and R. Yang, “The apolloscape dataset for autonomous driving,” in IEEE Conference on Computer Vision and Pattern Recognition Workshops , 2018
2018
Later among the works it cites.
2018
Later among the works it cites.
C. R. Qi, W. Liu, C. Wu, H. Su, and L. J. Guibas, “Frustum pointnets for 3d object detection from rgb-d data,” in IEEE Conference on Computer Vision and Pattern Recognition , 2018
2018
Later among the works it cites.
S. Shi, X. Wang, and H. Li, “Pointrcnn: 3d object proposal generation and detection from point cloud,” in IEEE Conference on Computer Vision and Pattern Recognition , 2019
2019
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
X. Chen, H. Ma, J. Wan, B. Li, and T. Xia, “Multi-view 3d object detection network for autonomous driving,” in IEEE Conference on Computer Vision and Pattern Recognition , 2017
2017
Cited alongside, same era.
Y. Choi, N. Kim, S. Hwang, K. Park, J. S. 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, pp. 934–948, 2018
2018
Cited alongside, same era.
J. Ku, M. Mozifian, J. Lee, c. Harakeh, and S. L. Waslander, “Joint 3d proposal generation and object detection from view aggregation,” in IEEE/RSJ International Conference on Intelligent Robots and Systems , 2018
2018
Cited alongside, same era.
A. H. Lang, S. Vora, H. Caesar, L. Zhou, J. Yang, and O. Beijbom, “Pointpillars: Fast encoders for object detection from point clouds,” in IEEE Conference on Computer Vision and Pattern Recognition , 2019
2019
Closest in time.
A. Patil, S. Malla, H. Gang, and Y.-T. Chen, “The h3d dataset for full-surround 3d multi-object detection and tracking in crowded urban scenes,” IEEE International Conference on Robotics and Automation , 2019
2019
Closest in time.