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Experimental Insights Towards Explainable and Interpretable Pedestrian Crossing Prediction
The results offer experimental insights into achieving explainability and interpretability in the pedestrian crossing prediction task.
RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features
Pedestrian crossing prediction is a crucial task for autonomous driving.
Pedestrian Path, Pose and Intention Prediction through Gaussian Process Dynamical Models and Pedestrian Activity Recognition
According to several reports published by worldwide organisations, thousands of pedestrians die in road accidents every year.
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