4 days ago · ... intention-level prediction and task-level planning, which were ... Drivelm: Driving with graph visual question answering. arXiv preprint arXiv ...
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Jun 7, 2024 · To enhance the visual representation of road users and their proximity to ... -59.16. Predicting Pedestrian Crossing Intention with Feature Fusion and Spatio- ...
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3 days ago · ... intention, image features or social interaction to some extent. However, in ... Levine, “Precog: Prediction conditioned on goals in visual multi-agent ...
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5 days ago · ... visual encoder applied to ... Li C., Liu Z., Lin S., Wang Y., Zhao X. Intention-convolution and hybrid-attention network for vehicle trajectory prediction.
Jun 5, 2024 · ... target tracking algorithm can improve the accuracy of the target tracking even if it is like tracking-based visual images. This improvement is also ...
Jun 19, 2024 · ing driver blind spots, extending the visual range of vehicles at signal-free intersections, and enhancing intersection safety. ... Pedestrian crossing intention ...
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Jun 6, 2024 · ... intention of and interaction among other traffic participants. Metaverse ... In addition, building on the foundations of visual detection methodologies ...
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2 days ago · Extensive experiments on the Brain4Cars dataset and the Zenodo dataset show that the proposed EDNet was able to recognize the driver's steering intention up to ...
6 days ago · Traditionally, factors affecting human visual attention have been divided ... Diving Deeper into Pedestrian Behavior Understanding: Intention Estimation, Action ...
In-vehicle nudging for increased Adaptive Cruise Control use: a field ...
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4 days ago · Although previous research has highlighted decreased visual attention to the road ... visual attention in naturalistic driving with adaptive cruise control and ...
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