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Found 3 papers, 2 papers with code
Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning
Reliably predicting future occupancy of highly dynamic urban environments is an important precursor for safe autonomous navigation.
Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions
The ability to detect objects, under image corruptions and different weather conditions is vital for deep learning models especially when applied to real-world applications such as autonomous driving.
Estimating the State of Epidemics Spreading with Graph Neural Networks
When an epidemic spreads into a population, it is often unpractical or impossible to have a continuous monitoring of all subjects involved.
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