Automotive sensing: assessing the impact of fog on LWIR, MWIR, SWIR, visible, and lidar performance-Reference-Cited by-同舟云学术

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Automotive sensing: assessing the impact of fog on LWIR, MWIR, SWIR, visible, and lidar performance

Published:2019-05-07 Issue: Volume: Page:
ISSN:
Container-title:Infrared Technology and Applications XLV
language:
Short-container-title:

Author:

Judd Kelsey M.,Thornton Michael,Richards Austin

Publisher

SPIE

Reference6 articles.

1. All-weather vision for automotive safety: which spectral band?;Pinchon,2016

2. Measuring resolution degradation of long-wavelength infrared imagery in fog

3. A new radiometric unit of measure to characterize SWIR illumination

4. Measurements of SWIR backgrounds using the swux unit of measure

5. Optical characterization of the Sandia fog facility;Wright,2017

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1. Dataset and Benchmark: Novel Sensors for Autonomous Vehicle Perception;The International Journal of Robotics Research;2024-09-06

2. Toward standardized testing of automotive lidars: year two results;Optical Engineering;2024-08-10

3. Interband cascade light-emitting diodes grown on silicon substrates using GaSb buffer layer;Applied Physics Letters;2024-07-01

4. Increasing the Model Classification Accuracy of Thermal Images;2024 9th International Conference on Smart and Sustainable Technologies (SpliTech);2024-06-25

5. The research on infrared radiation affected by smoke or fog in different environmental temperatures;Scientific Reports;2024-06-22

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