LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDAR

M. Quigley, K. Conley, B. P. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, and A. Y. Ng, “ROS: an open-source robot operating system,” in ICRA Workshop on Open Source Software , 2009

2009

Earlier work this paper cites.

A. Geiger, P. Lenz, and R. Urtasun, “Are we ready for autonomous driving? the kitti vision benchmark suite,” in Conference on Computer Vision and Pattern Recognition , 2012

2012

Earlier work this paper cites.

N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov, “Dropout: A simple way to prevent neural networks from overfitting,” The Journal of Machine Learning Research , vol. 15, no. 1, pp. 1929–1958, Jan. 2014

2014

Earlier work this paper cites.

S. Karen and Z. Andrew, “Very deep convolutional networks for large-scale image recognition,” arXiv preprint arXiv:1409.1556 , 2014

Original

2014

Earlier work this paper cites.

M. A. Sadeghi and D. Forsyth, “30Hz object detection with DPM v5,” in European Conference on Computer Vision , D. Fleet, T. Pajdla, B. Schiele, and T. Tuytelaars, Eds., 2014, pp. 65–79

2014

Earlier work this paper cites.

Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, “Caffe: convolutional architecture for fast feature embedding,” arXiv preprint arXiv:1408.5093 , 2014

Original

2014

Earlier work this paper cites.

Movidius, “Ins-03510-c1 datasheet,” 2014. [Online]. Available: http://uploads.movidius.com/1441734401-Myriad-2-product-brief.pdf

2014

Earlier work this paper cites.

F. Yu and V. Koltun, “Multi-scale context aggregation by dilated convolutions,” arXiv preprint arXiv:1511.07122 , 2015

Original

2015

Earlier work this paper cites.

R. Girshick, “Fast R-CNN,” in IEEE International Conference on Computer Vision , dec 2015, pp. 1440–1448

2015

Earlier work this paper cites.

O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei, “ImageNet large scale visual recognition challenge,” International Journal of Computer Vision , vol. 115, no. 3, pp. 211–252, 2015

2015

Cited alongside, same era.

S. Kato, E. Takeuchi, Y. Ishiguro, Y. Ninomiya, K. Takeda, and T. Hamada, “An open approach to autonomous vehicles,” IEEE Micro , vol. 35, no. 6, pp. 60–68, nov 2015

2015

Cited alongside, same era.

C. R. Qi, H. Su, K. Mo, and L. J. Guibas, “PointNet: deep learning on point sets for 3D classification and segmentation,” Fourth International Conference on 3D Vision , pp. 601–610, dec 2016

2016

Cited alongside, same era.

B. Li, T. Zhang, and T. Xia, “Vehicle detection from 3D lidar using fully convolutional network,” in Robotics: Science and Systems . Robotics: Science and Systems Foundation, 2016

2016

Cited alongside, same era.

Y. Zhou and O. Tuzel, “VoxelNet: end-to-end learning for point cloud based 3D object detection,” arXiv preprint arXiv:1711.06396 , 2017

Original

2017

Later among the works it cites.

J. Ku, M. Mozifian, J. Lee, A. Harakeh, and S. Waslander, “Joint 3D proposal generation and object detection from view aggregation,” arXiv preprint arXiv:1712.02294 , dec 2017

Original

2017

Later among the works it cites.

S.-l. Yu, T. Westfechtel, R. Hamada, K. Ohno, and S. Tadokoro, “Vehicle detection and localization on bird’s eye view elevation images using convolutional neural network,” in IEEE International Symposium on Safety, Security and Rescue Robotics , oct 2017, pp. 102–109

2017

Later among the works it cites.

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 , jul 2017, pp. 6526–6534

2017

Later among the works it cites.