Precise Adverse Weather Characterization by Deep-Learning-Based Noise Processing in Automotive LiDAR Sensors
- DOI
- 10.3390/rs16132407
- Published
- 2024-06-30
- Container
- Remote Sensing
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/rs16132407,
title = {Precise Adverse Weather Characterization by Deep-Learning-Based Noise Processing in Automotive LiDAR Sensors},
author = {Marcel Kettelgerdes and Nicolas Sarmiento and Hüseyin Erdogan and Bernhard Wunderle and Gordon Elger},
year = {2024},
journal = {Remote Sensing},
doi = {10.3390/rs16132407},
url = {https://doi.org/10.3390/rs16132407}
}RIS
TY - JOUR TI - Precise Adverse Weather Characterization by Deep-Learning-Based Noise Processing in Automotive LiDAR Sensors AU - Marcel Kettelgerdes AU - Nicolas Sarmiento AU - Hüseyin Erdogan AU - Bernhard Wunderle AU - Gordon Elger PY - 2024 JO - Remote Sensing DO - 10.3390/rs16132407 UR - https://doi.org/10.3390/rs16132407 ER -
APA
Kettelgerdes, M., Sarmiento, N., Erdogan, H., Wunderle, B., & Elger, G. (2024). Precise Adverse Weather Characterization by Deep-Learning-Based Noise Processing in Automotive LiDAR Sensors. Remote Sensing. https://doi.org/10.3390/rs16132407
Source records
- crossref · retrieved 2026-09-26T06:21:26.237Z