Publisher
Springer Nature Switzerland
Reference44 articles.
1. Baldwin, R.W., Liu, R., Almatrafi, M.B., Asari, V.K., Hirakawa, K.: Time-ordered recent event (TORE) volumes for event cameras. IEEE Trans. Pattern Anal. Mach. Intell. 45(2), 2519–2532 (2021)
2. Brandli, C., Berner, R., Yang, M., Liu, S.C., Delbruck, T.: A 240 $$\times $$ 180 130 dB 3 $$\mu $$s latency global shutter spatiotemporal vision sensor. IEEE J. Solid-State Circ. 49, 2333–2341 (2014)
3. Cao, H., Chen, G., Xia, J., Zhuang, G., Knoll, A.: Fusion-based feature attention gate component for vehicle detection based on event camera. IEEE Sens. J. 21, 24540–24548 (2021)
4. Chodosh, N., Wang, C., Lucey, S.: Deep convolutional compressed sensing for LiDAR depth completion. In: Asian Conference on Computer Vision, pp. 499–513 (2018)
5. Cui, M., Zhu, Y., Liu, Y., Liu, Y.M., Chen, G., Huang, K.: Dense depth-map estimation based on fusion of event camera and sparse LiDAR. IEEE Trans. Instrum. Measur. 71, 1–11 (2022)
Cited by
3 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