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Alexandra Carlson

2 accepted papers

2023

CLONeR: Camera-Lidar Fusion for Occupancy Grid-Aided Neural Representations

RA-L 2023

Recent advances in neural radiance fields (NeRFs) achieve state-of-the-art novel view synthesis and facilitate dense estimation of scene properties. However, NeRFs often fail for outdoor, unbounded scenes that are captured under very sparse views with the scene content concentrated far away from the

Cited by 26SourceScholar
2019

Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation

RA-L 2019

Performance on benchmark datasets has drastically improved with advances in deep learning. Still, cross-dataset generalization performance remains relatively low due to the domain shift that can occur between two different datasets. This domain shift is especially exaggerated between synthetic and r

Cited by 30SourceScholar