Publisher
Springer Nature Switzerland
Reference58 articles.
1. Tinchev, G., Penate-Sanchez, A., Fallon, M.: Learning to see the wood for the trees: deep laser localization in urban and natural environments on a CPU. IEEE Robot. Autom. Lett. 4(2), 1327–1334 (2019)
2. Kuznietsov, Y., Stuckler, J., Leibe, B.: Semi-supervised deep learning for monocular depth map prediction. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 6647–6655, (2017)
3. Liao, Y., Huang, L., Wang, Y., Kodagoda, S., Yu, Y., Liu, Y.: Parse geometry from a line: Monocular depth estimation with partial laser observation. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 5059–5066, (2017)
4. Zhang, J., Hu, S., Shi, H.: Deep learning based object distance measurement method for binocular stereo vision blind area. Int. J. Adv. Comput. Sci. Appl. 9(9) (2018)
5. Chiu, C.C., Chung, M.L., Chen, W.C.: Real-time front vehicle detection algorithm for an asynchronous binocular system. J. Inf. Sci. Eng. 26(3), 735–752 (2010)
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献