Zobrazeno 1 - 10
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pro vyhledávání: '"Luo, Lun"'
Autor:
Cai, Xudong, Wang, Yongcai, Luo, Lun, Wang, Minhang, Li, Deying, Xu, Jintao, Gu, Weihao, Ai, Rui
Image matching aims at identifying corresponding points between a pair of images. Currently, detector-free methods have shown impressive performance in challenging scenarios, thanks to their capability of generating dense matches and global receptive
Externí odkaz:
http://arxiv.org/abs/2408.03598
This article introduces BEVPlace++, a novel, fast, and robust LiDAR global localization method for unmanned ground vehicles. It uses lightweight convolutional neural networks (CNNs) on Bird's Eye View (BEV) image-like representations of LiDAR data to
Externí odkaz:
http://arxiv.org/abs/2408.01841
Autor:
Zhang, Runmin, Ma, Jun, Cao, Si-Yuan, Luo, Lun, Yu, Beinan, Chen, Shu-Jie, Li, Junwei, Shen, Hui-Liang
We propose a novel unsupervised cross-modal homography estimation framework based on intra-modal Self-supervised learning, Correlation, and consistent feature map Projection, namely SCPNet. The concept of intra-modal self-supervised learning is first
Externí odkaz:
http://arxiv.org/abs/2407.08148
Autor:
Yu, Zhu, Zhang, Runming, Ying, Jiacheng, Yu, Junchen, Hu, Xiaohai, Luo, Lun, Cao, Siyuan, Shen, Huiliang
Vision-based Semantic Scene Completion (SSC) has gained much attention due to its widespread applications in various 3D perception tasks. Existing sparse-to-dense approaches typically employ shared context-independent queries across various input ima
Externí odkaz:
http://arxiv.org/abs/2405.13675
Autor:
Kong, Lingdong, Xie, Shaoyuan, Hu, Hanjiang, Niu, Yaru, Ooi, Wei Tsang, Cottereau, Benoit R., Ng, Lai Xing, Ma, Yuexin, Zhang, Wenwei, Pan, Liang, Chen, Kai, Liu, Ziwei, Qiu, Weichao, Zhang, Wei, Cao, Xu, Lu, Hao, Chen, Ying-Cong, Kang, Caixin, Zhou, Xinning, Ying, Chengyang, Shang, Wentao, Wei, Xingxing, Dong, Yinpeng, Yang, Bo, Jiang, Shengyin, Ma, Zeliang, Ji, Dengyi, Li, Haiwen, Huang, Xingliang, Tian, Yu, Kou, Genghua, Jia, Fan, Liu, Yingfei, Wang, Tiancai, Li, Ying, Hao, Xiaoshuai, Yang, Yifan, Zhang, Hui, Wei, Mengchuan, Zhou, Yi, Zhao, Haimei, Zhang, Jing, Li, Jinke, He, Xiao, Cheng, Xiaoqiang, Zhang, Bingyang, Zhao, Lirong, Ding, Dianlei, Liu, Fangsheng, Yan, Yixiang, Wang, Hongming, Ye, Nanfei, Luo, Lun, Tian, Yubo, Zuo, Yiwei, Cao, Zhe, Ren, Yi, Li, Yunfan, Liu, Wenjie, Wu, Xun, Mao, Yifan, Li, Ming, Liu, Jian, Liu, Jiayang, Qin, Zihan, Chu, Cunxi, Xu, Jialei, Zhao, Wenbo, Jiang, Junjun, Liu, Xianming, Wang, Ziyan, Li, Chiwei, Li, Shilong, Yuan, Chendong, Yang, Songyue, Liu, Wentao, Chen, Peng, Zhou, Bin, Wang, Yubo, Zhang, Chi, Sun, Jianhang, Chen, Hai, Yang, Xiao, Wang, Lizhong, Fu, Dongyi, Lin, Yongchun, Yang, Huitong, Li, Haoang, Luo, Yadan, Cheng, Xianjing, Xu, Yong
In the realm of autonomous driving, robust perception under out-of-distribution conditions is paramount for the safe deployment of vehicles. Challenges such as adverse weather, sensor malfunctions, and environmental unpredictability can severely impa
Externí odkaz:
http://arxiv.org/abs/2405.08816
Autor:
Xie, Weidong, Luo, Lun, Ye, Nanfei, Ren, Yi, Du, Shaoyi, Wang, Minhang, Xu, Jintao, Ai, Rui, Gu, Weihao, Chen, Xieyuanli
Place recognition is an important task for robots and autonomous cars to localize themselves and close loops in pre-built maps. While single-modal sensor-based methods have shown satisfactory performance, cross-modal place recognition that retrieving
Externí odkaz:
http://arxiv.org/abs/2403.18762
Autor:
Zheng, Shuhang, Li, Yixuan, Yu, Zhu, Yu, Beinan, Cao, Si-Yuan, Wang, Minhang, Xu, Jintao, Ai, Rui, Gu, Weihao, Luo, Lun, Shen, Hui-Liang
Place recognition is an important technique for autonomous cars to achieve full autonomy since it can provide an initial guess to online localization algorithms. Although current methods based on images or point clouds have achieved satisfactory perf
Externí odkaz:
http://arxiv.org/abs/2303.01043
Place recognition is a key module for long-term SLAM systems. Current LiDAR-based place recognition methods usually use representations of point clouds such as unordered points or range images. These methods achieve high recall rates of retrieval, bu
Externí odkaz:
http://arxiv.org/abs/2302.14325
Place recognition plays a crucial role in re-localization and loop closure detection tasks for robots and vehicles. This paper seeks a well-defined global descriptor for LiDAR-based place recognition. Compared to local descriptors, global descriptors
Externí odkaz:
http://arxiv.org/abs/2206.12628