Results 61 to 70 of about 111,129 (161)

Prediction of Drag Anchor Trajectory Considering Both Shallow and Deep Anchor Behavior of Inclined Fluke

Journal of Marine Science and Engineering
The prediction of drag anchor trajectory is key for the anchor design. The yield envelope method based on anchor behavior under combined loadings provided an alternative method for the prediction of anchor trajectory.
Xiaoni Wu, Chao Tang, Zihao Jiang, Jinjian Chen, Teng Wang, Jian Shu   +5 more
doaj   +1 more source

Hypersonic glide vehicle trajectory prediction based on frequency enhanced channel attention and light sampling-oriented MLP network

Defence Technology
Hypersonic Glide Vehicles (HGVs) are advanced aircraft that can achieve extremely high speeds (generally over 5 Mach) and maneuverability within the Earth's atmosphere.
Yuepeng Cai, Xuebin Zhuang
doaj   +1 more source

Uncertainty-Aware Multimodal Trajectory Prediction via a Single Inference from a Single Model

Sensors
In the domain of autonomous driving, trajectory prediction plays a pivotal role in ensuring the safety and reliability of autonomous systems, especially when navigating complex environments.
Ho Suk, Shiho Kim
doaj   +1 more source

Review of pedestrian trajectory prediction methods

智能科学与技术学报, 2021
With the breakthrough of deep learning technology and the proposal of large data sets, the accuracy of pedestrian trajectory prediction has become one of the research hotspots in the field of artificial intelligence.The technical classification and ...
Linhui LI, Bin ZHOU, Weiwei REN, Jing LIAN   +3 more
doaj  

Multi-Object Trajectory Prediction Based on Lane Information and Generative Adversarial Network

Sensors
Nowadays, most trajectory prediction algorithms have difficulty simulating actual traffic behavior, and there is still a problem of large prediction errors.
Lie Guo, Pingshu Ge, Zhenzhou Shi
doaj   +1 more source

Predicting Vessel Trajectories Using ASTGCN with StemGNN-Derived Correlation Matrix

Applied Sciences
This study proposes a vessel position prediction method using attention spatiotemporal graph convolutional networks, which addresses the issue of low prediction accuracy due to less consideration of inter-feature dependencies in current vessel trajectory
Ran Zhang, Xiaohui Chen, Lin Ye, Wentao Yu, Bing Zhang, Junnan Liu   +5 more
doaj   +1 more source

Vehicle Trajectory Prediction Based on GAT and LSTM Networks in Urban Environments

Promet (Zagreb)
Vehicle trajectory prediction plays a critical role before the decision planning of autonomous vehicles in complex and dynamic traffic environments. It helps autonomous vehicles better understand the traffic environments and ensure safe and efficient ...
Xuelong ZHENG, Xuemei CHEN, Yaohan JIA
doaj   +1 more source

Impact of Perception Errors in Vision-Based Detection and Tracking Pipelines on Pedestrian Trajectory Prediction in Autonomous Driving Systems

Sensors
Pedestrian trajectory prediction is crucial for developing collision avoidance algorithms in autonomous driving systems, aiming to predict the future movement of the detected pedestrians based on their past trajectories.
Wen-Hui Chen, Jiann-Cherng Wu, Yury Davydov, Wei-Chen Yeh, Yu-Chen Lin   +4 more
doaj   +1 more source

Predictive nonlinear biplots: Maps and trajectories

Journal of Multivariate Analysis, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Developing an Artificial Intelligence-Based Method for Predicting the Trajectory of Surface Drifting Buoys Using a Hybrid Multi-Layer Neural Network Model

Journal of Marine Science and Engineering
Accurately predicting the long-term trajectory of a surface drifting buoy (SDB) is challenging. This paper proposes a promising solution to the SDB trajectory prediction based on artificial intelligence (AI) technologies.
Miaomiao Song, Wei Hu, Shixuan Liu, Shizhe Chen, Xiao Fu, Jiming Zhang, Wenqing Li, Yuzhe Xu   +7 more
doaj   +1 more source