[1] KIESER D. Driverless vehicles and their impact on your portfolio[J]. Equity, 32, 4(2018).

[2] 陈琪, CHEN Qi. Research on environment-aware tech-nology for unmanned driving[J]. Science and Te-chnology Economic Guide, 26, 77(2018).

[3] 高凯珺, GAO Kaijun, 孙韶媛, SUN Shaoyuan, 姚广顺, YAO Guangshun. Semantic segmentation of night vision images for unmanned vehicles based on deep learning[J]. Journal of Applied Optics, 38, 421-428(2017).

[4] 许路, XU Lu, 赵海涛, ZHAO Haitao, 孙韶媛, SUN Shaoyuan. Deep esti-mation of monocular infrared image based on deep convolutional neural network[J]. Acta Optica Sinica, 36, 0715002(2016).

[5] 姚广顺, YAO Guangshun, 孙韶媛, SUN Shaoyuan, 方建安, FANG Jian'an. Infrared and radar based depth estimation of night unmanned vehicle scene[J]. Laser & Optoelectronics Progress, 54, 164-170(2017).

[8] [8] QI C R, SU H, MO K, et al. Point: deep learning on point sets f 3d classification segmentation[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition. Atlanta: IEEE, 2017: 652660.

[9] [9] ZHOU Y, TUZEL O. Voxel: Endtoend learning f point cloud based 3d object detection[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition. Salt Lake City: IEEE, 2018: 44904499.

[10] GEIGER A, LENZ P, STILLER C. Vision meets robotics: the KITTI dataset[J]. The International Journal of Robotics Research, 32, 1231-1237(2013).

[11] [11] CHEN X, MA H, WAN J, et al. Multiview 3d object detection wk f autonomous driving[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition. Atlanta: IEEE, 2017: 19071915.

[12] [12] SIMONYAN K, ZISSERMAN A. Very deep convolutional wks f largescale image recognition[J]. arXiv preprint arXiv, 2014, 1409: 1556.

[13] LIN T Y, DOLLAR P, GIRSHICK R. Feature pyramid networks for object detection[J]. Computer Vision and Pattern Recognition, 2, 4(2017).

[14] [14] ABADI M, AGARWAL A, BARHAM P, et al. Tensflow: Largescale machine learning on heterogeneous distributed systems[J]. arXiv preprint arXiv, 2016, 1603: 04467.

[15] DALAL N, TRIGGS B. Histograms of oriented gradients for human detection[J]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1, 886-893(2005).

[16] [16] GIRSHICK R, FAST B. RCNN[C]International Conference on Computer Vision. Santiago. Chile: IEEE, 2015: 14401448.

[17] [17] REN S, HE K, GIRSHICK R B, et al. Faster RCNN: towards realtime object detection with region proposal wks[J] IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015, 39(6):11371149.