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Situation awareness in ai-based technologies and multimodal systems: Architectures, challenges and applications
Situation Awareness (SA) is a process of sensing, understanding and predicting the
environment and is an important component in complex systems. The reception of …
environment and is an important component in complex systems. The reception of …
Spatio-temporal context graph transformer design for map-free multi-agent trajectory prediction
Z Wang, J Zhang, J Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Predicting the motion of surrounding vehicles is an important function of autonomous
vehicles. However, most of the current state-of-the-art trajectory prediction models rely …
vehicles. However, most of the current state-of-the-art trajectory prediction models rely …
A homogeneous multi-vehicle cooperative group decision-making method in complicated mixed traffic scenarios
Abstract Connected and Automated Vehicles (CAVs) are expected to reshape the
transportation system, and cooperative group intelligence of CAVs has great potential for …
transportation system, and cooperative group intelligence of CAVs has great potential for …
A Trajectory Prediction Method of Drogue in Aerial Refueling Based on Transfer Learning and Attention Mechanism
X ** of aerial swarms
L Li, R Yang, H Li, M Lv, L Yue, A Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The self-organization capabilities of massive aerial swarms pose challenges to conventional
methods of grou** aerial targets. These traditional approaches struggle with issues such …
methods of grou** aerial targets. These traditional approaches struggle with issues such …
STMF-IE: A Spatial-Temporal Multi-Feature Fusion and Intention-Enlightened Decoding Model for Vehicle Trajectory Prediction
Accurate trajectory prediction of surrounding vehicles is crucial for ensuring the safety of
autonomous vehicles. However, current methods based on neural networks still have room …
autonomous vehicles. However, current methods based on neural networks still have room …
Hierarchical RNNs with graph policy and attention for drone swarm
XL Wei, WP Cui, XL Huang, LF Yang… - Journal of …, 2024 - academic.oup.com
In recent years, the drone swarm has experienced remarkable growth, finding applications
across diverse domains such as agricultural surveying, disaster rescue and logistics …
across diverse domains such as agricultural surveying, disaster rescue and logistics …
Deep Learning Improved Social Force Model to Simulate Crowd in Varying Scenes
D Yan, C Bai, L He, G Ding - 2024 7th International Conference …, 2024 - ieeexplore.ieee.org
Traditional social force models are capable of simulating various types of crowds, but due to
their reliance on a single formula and simplified parameter control, they often lack realism …
their reliance on a single formula and simplified parameter control, they often lack realism …