Results 71 to 80 of about 111,129 (161)
A novel trajectory prediction method for UAV air combat based on QCNet-3D
Unmanned Aerial Vehicle (UAV) trajectory prediction is an important research topic in the field of UAV air combat. In order to address the problem of single-feature extraction scale and scene adaptability in UAV air combat trajectory prediction ...
Jiahui Zhang +4 more
doaj +1 more source
Trajectory Prediction and Intention Recognition Based on CNN-GRU
Accurate trajectory prediction and intention recognition are essential for effective decision-making, as different intents manifest in distinct trajectory patterns. This study focuses on trajectory prediction and intention recognition for airborne moving
Jinghao Du +4 more
doaj +1 more source
Conditional Unscented Autoencoders for Trajectory Prediction
The CVAE is one of the most widely-used models in trajectory prediction for AD. It captures the interplay between a driving context and its ground-truth future into a probabilistic latent space and uses it to produce predictions. In this paper, we challenge key components of the CVAE.
Faris Janjos +5 more
openaire +2 more sources
The safe and efficient operation of smart Intelligent vehicles relies heavily on accurate trajectory prediction techniques. Existing methods improve prediction accuracy by introducing scene context information, but lack the causal perspective to explain ...
ZhiYong Yang +4 more
doaj +1 more source
GL-STGCNN: Enhancing Multi-Ship Trajectory Prediction with MPC Correction
In addressing the challenges of trajectory prediction in multi-ship interaction scenarios and aiming to improve the accuracy of multi-ship trajectory prediction, this paper proposes a multi-ship trajectory prediction model, GL-STGCNN. The GL-STGCNN model
Yuegao Wu +4 more
doaj +1 more source
End-to-end model-based trajectory prediction for ro-ro ship route using dual-attention mechanism
With the rapid increase of economic globalization, the significant expansion of shipping volume has resulted in shipping route congestion, causing the necessity of trajectory prediction for effective service and efficient management.
Licheng Zhao +6 more
doaj +1 more source
In field of location prediction, trajectory recognition is one of the most widely research issues. Since trajectory includes various information such as position, time, and speed, many scientific methods are applied to extracting meaningful features, and
Yi Zuo, Junhao Jiang, Katsutoshi Yada
doaj +1 more source
Pedestrian intention estimation and trajectory prediction based on data and knowledge‐driven method
With the development of deep learning technology, the problem of data‐driven trajectory prediction and intention recognition has been widely studied. However, the pedestrian trajectory prediction and intention recognition methods based solely on data ...
Jincao Zhou +4 more
doaj +1 more source
CAMP: A Context-Aware, Multimodal, and Privacy-Preserving Pedestrian Trajectory Prediction Framework. [PDF]
Yue B, Li S, Liu A.
europepmc +1 more source
Fusing transportation rules and diverse motion behaviors for trajectory prediction in traffic intersections. [PDF]
Su Y, Pei C.
europepmc +1 more source

