Results 31 to 40 of about 785,642 (238)

Ship Trajectory Online Compression Algorithm Considering Handling Patterns

IEEE Access, 2021
With the widespread use of shipborne Automatic Identification System (AIS) and the establishment of shore-based AIS networks in the past twenty years, a large amount of AIS trajectory data has been generated and accumulated in the shore-based systems ...
Feixiang Zhu, Zhihong Ma
doaj   +1 more source

real-time ship trajectory prediction model

, 2023
 Implementation code of Construction of a real-time ship trajectory prediction model based on ship automatic identification system data 
feng yuhao (16316481)
core   +1 more source

Research on Ship Trajectory Prediction Method Based on Difference Long Short-Term Memory

Journal of Marine Science and Engineering, 2023
This study proposes a solution to the problem of inaccurate and time-consuming ship trajectory prediction caused by frequent ship maneuvering in complex waterways.
Xiaobin Tian, Yongfeng Suo
doaj   +1 more source

Ship Target Recognition Based on Context-Enhanced Trajectory

ISPRS International Journal of Geo-Information, 2022
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.
Zhan Kong, Yaqi Cui, Wei Xiong, Zhenyu Xiong, Pingliang Xu   +4 more
doaj   +1 more source

Ship behavior prediction via trajectory extraction-based clustering for maritime situation awareness [PDF]

, 2021
This study presents a method in which historical AIS data are used to predict the future trajectory of a selected vessel. This is facilitated via a system intelligence-based approach that can be subsequently utilized to provide enhanced situation ...
Perera, Lokukaluge Prasad, Murray, Brian, Lokukaluge Prasad Perera, Brian Murray   +3 more
core   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Classification and recognition of spatio-temporal behavior of ships based on deep learning of trajectory feature images

Zhongguo Jianchuan Yanjiu
ObjectiveTo address the issues of low efficiency and inaccurate ship behavior recognition when handling large-scale ship trajectory data, this paper proposes a method for recognizing and classifying ship behaviour based on trajectory feature image ...
Yu ZHOU, Liang HUANG, Chunhui ZHOU, Yuanqiao WEN, Yamin HUANG, Jiaci WANG   +5 more
doaj   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

An approach for traffic pattern recognition integration of ship AIS data and port geospatial features

Geo-spatial Information Science
Recognition of ship traffic patterns can provide insights into the rules of navigation, maneuvering, and collision avoidance for ships at sea. This is essential for ensuring safe navigation at sea and improving navigational efficiency.
Gaocai Li, Xinyu Zhang, Lingling Jiang, Chengbo Wang, Ruining Huang, Zhensheng Liu   +5 more
doaj   +1 more source

Machine Learning for Enhanced Maritime Situation Awareness: Leveraging Historical AIS Data for Ship Trajectory Prediction [PDF]

, 2021
In this thesis, methods to support high level situation awareness in ship navigators through appropriate automation are investigated. Situation awareness relates to the perception of the environment (level 1), comprehension of the situation (level 2 ...
Murray, Brian
core   +1 more source