PedAST-GCN: Fast Pedestrian Crossing Intention Prediction Using Spatial–Temporal Attention Graph Convolution Networks
Summary
PedAST-GCN: Fast Pedestrian Crossing Intention Prediction Using Spatial–Temporal Attention Graph Convolution Networks is a scholarly article[1].
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PedAST-GCN: Fast Pedestrian Crossing Intention Prediction Using Spatial–Temporal Attention Graph Convolution Networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). PedAST-GCN: Fast Pedestrian Crossing Intention Prediction Using Spatial–Temporal Attention Graph Convolution Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/pedast-gcn-fast-pedestrian-crossing-intention-prediction-using-spatialtemporal-attention-graph-convolution-networks
MLA“PedAST-GCN: Fast Pedestrian Crossing Intention Prediction Using Spatial–Temporal Attention Graph Convolution Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pedast-gcn-fast-pedestrian-crossing-intention-prediction-using-spatialtemporal-attention-graph-convolution-networks.
BibTeX@misc{4ortxyz_pedast-gcn-fast-pedestrian-crossing-intention-prediction-using-spatialtemporal-attention-graph-convolution-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PedAST-GCN: Fast Pedestrian Crossing Intention Prediction Using Spatial–Temporal Attention Graph Convolution Networks}}, year = {2026}, url = {https://4ort.xyz/entity/pedast-gcn-fast-pedestrian-crossing-intention-prediction-using-spatialtemporal-attention-graph-convolution-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PedAST-GCN: Fast Pedestrian Crossing Intention Prediction Using Spatial–Temporal Attention Graph Convolution Networks — https://4ort.xyz/entity/pedast-gcn-fast-pedestrian-crossing-intention-prediction-using-spatialtemporal-attention-graph-convolution-networks (retrieved 2026-05-24)
