|
|
|
|
|
Minshi Liu, Ling Zhang, Yi Long, Yong Sun and Mingwei Zhao
With the rising popularity of portable mobile positioning equipment, the volume of mobile trajectory data is increasing. Therefore, trajectory data compression has become an important basis for trajectory data processing, analysis, and mining. According ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chang Liu, Shize Zhang, Lufang Cao and Bin Lin
Automatic identification system (AIS) data record a ship?s position, speed over ground (SOG), course over ground (COG), and other behavioral attributes at specific time intervals during a ship?s voyage. At present, there are few studies in the literature...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xun Liu, Yan Xu, Jiabin Cao, Jinyu Liu and Yanzheng Zhao
NURBS curve parameter interpolation is extensively employed in precision trajectory tasks for industrial robots due to its smoother performance compared to traditional linear or circular interpolation methods. The trajectory planning systems for industri...
ver más
|
|
|
|
|
|
|
|
|
|
|
Syed Adil Hussain, Muhammad Umair Hassan, Wajeeha Nasar, Sara Ghorashi, Mona M. Jamjoom, Abdel-Haleem Abdel-Aty, Amna Parveen and Ibrahim A. Hameed
The analysis of individuals? movement behaviors is an important area of research in geographic information sciences, with broad applications in smart mobility and transportation systems. Recent advances in information and communication technologies have ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruidong Zhang and Xinguang Zhang
When using deep learning networks for dynamic feature rejection in SLAM systems, problems such as a priori static object motion leading to disturbed build quality and accuracy and slow system runtime are prone to occur. In this paper, based on the ORB-SL...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhifei Xi, Yingxin Kou, You Li, Zhanwu Li and Yue Lv
Air combat situation assessment is the basis of target assignment and maneuver decisions. The current air combat situation assessment models, whether nonparametric or parametric, ignore the continuity and timing of situation changes, making the situation...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qingying Yu, Fan Hu, Chuanming Chen, Liping Sun and Xiaoyao Zheng
Numerous Global Positioning System connected vehicles are collecting extensive data remotely in cities, enabling data-driven infrastructure planning. To truly benefit from this emerging technology, it is important to combine telematics and map data to ma...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gaocai Li, Mingzheng Liu, Xinyu Zhang, Chengbo Wang, Kee-hung Lai and Weihuachao Qian
Recognition and understanding of ship motion patterns have excellent application value for ship navigation and maritime supervision, i.e., route planning and maritime risk assessment. This paper proposes a semantic recognition method for ship motion patt...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zeyang Zhang, Zhongcai Pei, Zhiyong Tang and Fei Gu
Traditional video object segmentation often has low detection speed and inaccurate results due to the jitter caused by the pan-and-tilt or hand-held devices. Deep neural network (DNN) has been widely adopted to address these problems; however, it relies ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhihong Ouyang, Lei Xue, Feng Ding and Da Li
Linear approximate segmentation and data compression of moving target spatio-temporal trajectory can reduce data storage pressure and improve the efficiency of target motion pattern mining. High quality segmentation and compression need to accurately sel...
ver más
|
|
|
|
|
|