IROS 2021poster19 citations
Data-fusion for robust off-road perception considering data quality of uncertain sensors
Abstract
Robust off-road perception for autonomous navigation is hard to achieve. Versatile environments, different hardware, and numerous disturbances limit the perceptional portability in changing applications and cross-platform. This contribution proposes sensor-fusion considering the data quality of uncertain sensors to increase the classification and mapping components’ perceptual robustness. The resulting benefits on perception are demonstrated using the autonomous off-road robot U5023.
BibTeX
@inproceedings{iros2021_datafusionforrob,
title = {Data-fusion for robust off-road perception considering data quality of uncertain sensors},
author = {Patrick Wolf and Karsten Berns},
booktitle = {IROS 2021},
year = {2021}
}