[1] |
Geiger A,Lenz P,Stiller C,et al.Vision meets robotics:The KITTI dataset[J].The International Journal of Robotics Research,2013,32(11):1231-1237.
|
[2] |
Ren S,He K,Girshick R,et al.Faster R-CNN:Towards real-time object detection with region proposal networks[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2015,39(6):1137-1149.
|
[3] |
Very deep convolutional networks for large-scale image re-cognition [EB/OL].[2019-03-01].http://arxiv.org/abs/1409.1556.
|
[4] |
Cai Z,Fan Q,Feris R S,et al.A unified multi-scale deep convolutional neural network for fast object detection [C]∥Proc of European Conference on Computer Vision,2016:354-370.
|
[5] |
Liu W,Anguelov D,Erhan D,et al.SSD:Single shot multibox detector [C]∥Proc of European Conference on Computer Vision,2016:21-37.
|
[6] |
Redmon J,Farhadi A.Yolo9000:Better,faster,stronger[C]∥Proc of IEEE Conference on Computer Vision and Pattern Recognition,2017:6517-6525.
|
[7] |
Chen X,Kundu K,Zhu Y,et al.3D object proposals using stereo imagery for accurate object class detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2018,40(5):1259-1272.
|
[8] |
VoxelNet: End-to-end learning for point cloud based 3D object detection[EB/OL]. [2019-03-01]. https://arxiv.org/pdf/1711.06396.pdf.
|
[9] |
Multi-view 3D object detection network for autonomous dri-ving[EB/OL].[2019-03-01].https://arxiv.org/abs/1611.07759.
|
[10] |
Deep MANTA:A coarse-to-fine many-task network for joint 2D and 3D vehicle analysis from monocular image [EB/OL].[2019-03-01].https://arxiv.org/abs/1703.07570.
|
[11] |
Qi C R,Su H,Mo K,et al.Pointnet:Deep learning on point sets for 3D classification and segmentation[C]∥Proc of IEEE Conference on Computer Vision and Pattern Recognition,2017:77-85.
|
[12] |
Qi C R,Yi L,Su H,et al.Pointnet++:Deep hierarchical feature learning on point sets in a metric space[C]∥Proc of Advances in Nerual Information Processing Systems,2017:5105-5114.
|
[13] |
Sun Yong-yi.Apollo autopilot technology and safety design [J].Artificial Intelligence,2018(6):48-58.(in Chinese)
|
[14] |
Chief Speaker.Baidu,Ali,Huawei layout AI+traffic,who can hold the bull’s ear? [J].Big Data Age,2019(1):6-11.(in Chinese)
|
|
附中文参考文献:
|
[13] |
孙勇义.Apollo自动驾驶技术与安全设计[J].人工智能,2018(6):48-58.
|
[14] |
首席发言者.百度、阿里、华为布局AI+交通,谁能执牛耳?[J].大数据时代,2019(1):6-11.
|