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Cunxiang Bian, Jinqiang Bai, Guanghe Cheng, Fengqi Hao and Xiyuan Zhao
Field-road mode classification (FRMC) that identifies ?in-field? and ?on-road? categories for Global Navigation Satellite System (GNSS) trajectory points of agricultural machinery containing geographic information is essential for effective crop improvem...
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Fan Zhang, Baoxin Yuan, Liang Huang, Yuanqiao Wen, Xue Yang, Rongxin Song and Pieter van Gelder
Accurate fishing activity detection from the trajectories of fishing vessels can not only achieve high-precision fishery management but also ensure the reasonable and sustainable development of marine fishery resources. This paper proposes a new method t...
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Kun Qin, Yulong Wang and Bijun Wang
In road networks, an ?optimal? trajectory is a geometrically optimal drive from the source point to the destination point. In reality, the driver?s driving experience or road traffic conditions will lead to differences between the ?actual? trajectory and...
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Kun Qin, Yulong Wang and Bijun Wang
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Weijie Ding, Jin Huang, Guanyu Shang, Xuexuan Wang, Baoqiang Li, Yunfei Li and Hourong Liu
Highly accurate trajectory prediction models can achieve route optimisation and save airspace resources, which is a crucial technology and research focus for the new generation of intelligent air traffic control. Aiming at the problems of inadequate extr...
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Eric Hsueh-Chan Lu and You-Ru Lin
With the rise in the Internet of Things (IOT), mobile devices and Location-Based Social Network (LBSN), abundant trajectory data have made research on location prediction more popular. The check-in data shared through LBSN hide information related to lif...
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Qingge Ji, Haoqiang Yu and Xiao Wu
Based on tracking-by-detection, we propose a hierarchical-matching-based online and real-time multi-object tracking approach with deep appearance features, which can effectively reduce the false positives (FP) in tracking. For the purpose of increasing t...
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Dapeng Jiang, Guoyou Shi, Na Li, Lin Ma, Weifeng Li and Jiahui Shi
In the context of the rapid development of deep learning theory, predicting future motion states based on time series sequence data of ship trajectories can significantly improve the safety of the traffic environment. Considering the spatiotemporal corre...
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Liming Lao, Dangkui Du and Pengzhan Chen
This paper proposes a novel prediction model termed the social and spatial attentive generative adversarial network (SSA-GAN). The SSA-GAN framework utilizes a generative approach, where the generator employs social attention mechanisms to accurately mod...
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Junyi Cheng, Xianfeng Zhang, Xiao Chen, Miao Ren, Jie Huang and Peng Luo
Early detection of people?s suspicious behaviors can aid in the prevention of crimes and make the community safer. Existing methods that are focused on identifying abnormal behaviors from video surveillance that are based on computer vision, which are mo...
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Rui Jiang, Hongyun Xu, Gelian Gong, Yong Kuang and Zhikang Liu
Vehicle-trajectory prediction is essential for intelligent traffic systems (ITS), as it can help autonomous vehicles to plan a safe and efficient path. However, it is still a challenging task because existing studies have mainly focused on the spatial in...
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Lukasz Wielebski, Beata Medynska-Gulij, Lukasz Halik and Frank Dickmann
The aim of the paper is to elaborate on and evaluate a multiperspective cartographic visualization of the spatial behavior of pedestrians in urban space. The detailed objective is to indicate the level of usefulness of the proposed visualization methods ...
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Suge Dong, Daidi Hu, Ruijun Li and Mingtao Ge
Aimed at the problems of high redundancy of trajectory and susceptibility to background interference in traditional dense trajectory behavior recognition methods, a human action recognition method based on foreground trajectory and motion difference desc...
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Jing Tian, Zilin Zhao and Zhiming Ding
With the widespread use of the location-based social networks (LBSNs), the next point-of-interest (POI) recommendation has become an essential service, which aims to understand the user?s check-in behavior at the current moment by analyzing and mining th...
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Wenbo Zhao, Dezhi Wang, Kai Gao, Jiani Wu and Xinghua Cheng
Approximating the positions of vessels near underwater devices, such as unmanned underwater vehicles and autonomous underwater vehicles, is crucial for many underwater operations. However, long-term monitoring of vessel trajectories is challenging due to...
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Zhan Kong, Yaqi Cui, Wei Xiong, Zhenyu Xiong and Pingliang Xu
Ship target recognition based on trajectories has great potential in the field of target recognition. In the existing research, the context information is ignored, which limits the improvement of ship target recognition ability. In addition, the process ...
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Shijin Wang, Jiewen Chu, Jiahao Li and Rongrong Duan
An airport?s terminal area is the bottleneck of the air transport system. Convective weather can seriously affect the normal flight status of arrival and departure flights. At present, pilots take different flight operation strategies to avoid convective...
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Jiucai Jin, Deqing Liu, Dong Wang and Yi Ma
Trajectory tracking is a basis of motion control for Unmanned Surface Vehicles (USVs), which has been researched well for common USVs. The twin-propeller and twin-hull USV (TPTH-USV) is a special vehicle for applications due to its good stability and hig...
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S. Porshnev,E. Solomaha,O. Ponomareva
Pág. 45 - 50
The features of Hurst exponent H of the classical Brownian motion trajectory calculated by the R/S-analysis has been studied, where R is a range of a cumulative deviations of the chosen fragment of the trajectory within the time interval (from the ...
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Mengqian Lu and Xiaotian Hao
Three river basins, i.e., the Yangtze river, the Mississippi river and the Loire river, were presented as case studies to explore the association among atmospheric circulations, moisture exports and extreme precipitations in the mid-latitudes. The major ...
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