Software Application Overview: AI Object Detection Inference for Video

<div class="section abstract"><div class="htmlview paragraph">Object detection has many different uses in Command and Control (C2) systems such as autonomous control, target tracking, threat detection, and general surveillance. Graphics Processing Units (GPUs) are the de-facto standard hardware for these types of workloads in datacenter environments. Still, when deploying to an edge environment many considerations are required to ensure an optimized deployment. This paper provides a general overview of how to utilize GPUs for AI inference for object detection at the edge using NVIDIA<sup>®</sup> HoloScan as well as an overview of the many considerations to account for when selecting the most optimal GPU for any specific ground vehicle solution.</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-09-16
DOI
https://doi.org/10.4271/2025-01-0463
Primary Topic
Advanced Neural Network Applications
Type
article
Field-Weighted Citation Impact
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article

Software Application Overview: AI Object Detection Inference for Video

Nick Whitlock
SAE technical papers on CD-ROM/SAE technical paper series
Advanced Neural Network Applications
article

Software Application Overview: AI Object Detection Inference for Video

Nick Whitlock
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">Object detection has many different uses in Command and Control (C2) systems such as autonomous control, target tracking, threat detection, and general surveillance. Graphics Processing Units (GPUs) are the de-facto standard hardware for these types of workloads in datacenter environments. Still, when deploying to an edge environment many considerations are required to ensure an optimized deployment. This paper provides a general overview of how to utilize GPUs for AI inference for object detection at the edge using NVIDIA<sup>®</sup> HoloScan as well as an overview of the many considerations to account for when selecting the most optimal GPU for any specific ground vehicle solution.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
PDF Solutions (United States) (US)
Openalex Percentile: Top 75%
Advanced Neural Network Applications
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