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Gustavo Batista

2 accepted papers

2024

Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning

ICRA 2024poster

Pedestrian trajectory prediction plays an important role in autonomous driving systems and robotics. Recent work utilizing prominent deep learning models for pedestrian motion prediction makes limited a priori assumptions about human movements, resulting in a lack of explainability and explicit cons…

Cited by 3SourcecodeScholar
2020

The Importance of the Test Set Size in Quantification Assessment

IJCAI 2020poster

Quantification is a task similar to classification in the sense that it learns from a labeled training set. However, quantification is not interested in predicting the class of each observation, but rather measure the class distribution in the test set. The community has developed performance measur…

Cited by 0SourcePDFScholar