Pseudo-Anchors: Robust Semantic Features for Lidar Mapping in Highly Dynamic Scenarios

MLA

Yang, Chenxi, et al. “Pseudo-Anchors: Robust Semantic Features for Lidar Mapping in Highly Dynamic Scenarios.” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 2, Feb. 2023, pp. 1619–30. EBSCOhost, https://doi.org/10.1109/TITS.2022.3223219.

APA

Yang, C., He, L., Zhuang, H., Wang, C., & Yang, M. (2023). Pseudo-Anchors: Robust Semantic Features for Lidar Mapping in Highly Dynamic Scenarios. IEEE Transactions on Intelligent Transportation Systems, 24(2), 1619–1630. https://doi.org/10.1109/TITS.2022.3223219

Chicago

Yang, Chenxi, Lei He, Hanyang Zhuang, Chunxiang Wang, and Ming Yang. 2023. “Pseudo-Anchors: Robust Semantic Features for Lidar Mapping in Highly Dynamic Scenarios.” IEEE Transactions on Intelligent Transportation Systems 24 (2): 1619–30. doi:10.1109/TITS.2022.3223219.