JAADall
PulseAugur coverage of JAADall — every cluster mentioning JAADall across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New STC-MGNet improves pedestrian intention prediction for autonomous driving
Researchers have developed STC-MGNet, a novel multimodal graph network designed to improve pedestrian intention prediction for autonomous driving systems. This network utilizes a spatial-temporal-channel attention mecha…
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New Transformer Model Enhances Pedestrian Intent Prediction for Autonomous Vehicles
Researchers have developed a Multi-Context Fusion Transformer (MFT) designed to improve pedestrian crossing intention prediction for autonomous vehicles. This model integrates four key contextual dimensions: pedestrian …
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New Transformer Model Enhances Pedestrian Crossing Prediction for Autonomous Driving
Researchers have developed ADAPT (Adaptive Domain-Aware Pedestrian Crossing Transformer), a new multimodal framework designed to improve the prediction of pedestrian crossing intentions for autonomous driving. This syst…