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Wenqi Lyu, Wei Ke, Hao Sheng, Xiao Ma and Huayun Zhang
In response to the challenge of handling large-scale 3D point cloud data, downsampling is a common approach, yet it often leads to the problem of feature loss. We present a dynamic downsampling algorithm for 3D point cloud maps based on an improved voxel...
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Bao She, Jiating Hu, Linsheng Huang, Mengqi Zhu and Qishuo Yin
To grasp the spatial distribution of soybean planting areas in time is the prerequisite for the work of growth monitoring, crop damage assessment and yield estimation. The research on remote sensing identification of soybean conducted in China mainly foc...
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Feihu Zhang, Diandian Xu and Chensheng Cheng
Multi-vehicle collaborative mapping proves more efficient in constructing maps in unfamiliar underwater environments in comparison to single-vehicle methods. One of the pivotal hurdles of Simultaneous Localization and Mapping (SLAM) with multiple underwa...
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Luong Vuong Nguyen, Quoc-Trinh Vo and Tri-Hai Nguyen
In the current era of e-commerce, users are overwhelmed with countless products, making it difficult to find relevant items. Recommendation systems generate suggestions based on user preferences, to avoid information overload. Collaborative filtering is ...
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Zhi Cai, Fangzhe Liu, Qiong Qi, Xing Su, Limin Guo and Zhiming Ding
Urban rail transit is an essential part of the urban public transportation system. The reasonable spatial data visualization of urban rail transit stations can provide a more intuitive way for the majority of travelers to arrange travel plans and find de...
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Shuaipeng Gao and Tijing Cai
Gravity-aided navigation is an effective navigation method for underwater vehicles. However, the distribution of the gravity field may affect the measurement errors of gravity anomalies and the precision of gravity-aided navigation. In this paper, the up...
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Zhiwei Chen, Jianneng Chen, Yang Li, Zhiyong Gui and Taojie Yu
The precise detection and positioning of tea buds are among the major issues in tea picking automation. In this study, a novel algorithm for detecting tea buds and estimating their poses in a field environment was proposed by using a depth camera. This a...
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Fan Zhao, Renjie Wei, Yu Chao, Sidi Shao and Cuining Jing
Flying bird detection has recently attracted increasing attention in computer vision. However, compared to conventional object detection tasks, it is much more challenging to trap flying birds in infrared videos due to small target size, complex backgrou...
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Zaipeng Xie, Zhaobin Li, Yida Zhang, Jianan Zhang, Fangming Liu and Wei Chen
Guidance systems for visually impaired persons have become a popular topic in recent years. Existing guidance systems on the market typically utilize auxiliary tools and methods such as GPS, UWB, or a simple white cane that exploits the user?s single tac...
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Huazhi Li, Zhangyu Wang, Guizhen Yu, Ziren Gong, Bin Zhou, Peng Chen and Fei Zhao
Object detection is an essential task for autonomous vehicles to ensure safety. Due to the complexity of mining environments, it is difficult to detect objects accurately and robustly. To address these issues, this paper proposes a novel 3D LiDAR-based o...
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