NIST · ИТ · ed16a7ce12ef06016ccf
AI-Based Environment Segmentation Using a Context-Aware Channel Sounder
We describe how the data acquired from the camera and Lidar systems of our context-aware radio-frequency (RF) channel sounder is used to reconstruct a 3D mesh of the surrounding environment, segmented and classified into discrete objects. First, the images
NIST · ИТОфициальный источник · 2024-04-26
{
"title_en": "AI-Based Environment Segmentation Using a Context-Aware Channel Sounder",
"designation": "",
"series": "",
"status": "",
"date": "2024-04-26",
"date_original": "April 26, 2024",
"url": "https://www.nist.gov/publications/ai-based-environment-segmentation-using-context-aware-channel-sounder",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Anuraag Bodi , Samuel Berweger , Raied Caromi , Jihoon Bang , Jelena Senic , Camillo Gentile",
"abstract_excerpt_en": "We describe how the data acquired from the camera and Lidar systems of our context-aware radio-frequency (RF) channel sounder is used to reconstruct a 3D mesh of the surrounding environment, segmented and classified into discrete objects. First, the images",
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{
"title_en": "AI-Based Environment Segmentation Using a Context-Aware Channel Sounder",
"designation": "",
"series": "",
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"date": "2024-04-26",
"date_original": "April 26, 2024",
"url": "https://www.nist.gov/publications/ai-based-environment-segmentation-using-context-aware-channel-sounder",
"source": "NIST Publications",
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"authors_en": "Anuraag Bodi , Samuel Berweger , Raied Caromi , Jihoon Bang , Jelena Senic , Camillo Gentile",
"abstract_excerpt_en": "We describe how the data acquired from the camera and Lidar systems of our context-aware radio-frequency (RF) channel sounder is used to reconstruct a 3D mesh of the surrounding environment, segmented and classified into discrete objects. First, the images"
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