no code implementations • 7 May 2023 • Jinyu Miao, Kun Jiang, Yunlong Wang, Tuopu Wen, Zhongyang Xiao, Zheng Fu, Mengmeng Yang, Maolin Liu, Diange Yang
High-precision vehicle localization with commercial setups is a crucial technique for high-level autonomous driving tasks.
no code implementations • 20 Nov 2022 • Jinyu Miao, Haosong Yue, Zhong Liu, Xingming Wu, Zaojun Fang, Guilin Yang
Local feature provides compact and invariant image representation for various visual tasks.
2 code implementations • 6 Dec 2021 • Xiaoming Zhao, Xingming Wu, Jinyu Miao, Weihai Chen, Peter C. Y. Chen, Zhengguo Li
The reprojection loss is then proposed to directly optimize these sub-pixel keypoints, and the dispersity peak loss is presented for accurate keypoints regularization.
no code implementations • 30 Jul 2021 • Haosong Yue, Jinyu Miao, Weihai Chen, Wei Wang, Fanghong Guo, Zhengguo Li
Localizing pre-visited places during long-term simultaneous localization and mapping, i. e. loop closure detection (LCD), is a crucial technique to correct accumulated inconsistencies.
Loop Closure Detection Simultaneous Localization and Mapping
no code implementations • 18 Mar 2021 • Yuxin Tian, Jinyu Miao, Xingming Wu, Haosong Yue, Zhong Liu, Weihai Chen
In this paper, we address the challenges of place recognition due to dynamics and confusable patterns by proposing a discriminative and semantic feature selection network, dubbed as DSFeat.
1 code implementation • 1 Dec 2020 • Dongjiang Li, Jinyu Miao, Xuesong Shi, Yuxin Tian, Qiwei Long, Tianyu Cai, Ping Guo, Hongfei Yu, Wei Yang, Haosong Yue, Qi Wei, Fei Qiao
Experimental results show that the proposed RaP-Net trained with OpenLORIS-Location dataset achieves excellent performance in the feature matching task and significantly outperforms state-of-the-arts feature algorithms in indoor localization.