Runway Detection using a Modified DeeplabV3+ Segmentation Neural Network for Space Applications

Using Vitis AI, a Xilinx framework for executing machine learning models on heterogeneous computing hardware, this work benchmarked the capability of a Xilinx Versal AI Core system-on-a-chip (SoC) to execute a runway detection segmentation neural network. This demonstration was performed to support...

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Bibliographic Details

Published in:	Proceedings - IEEE Aerospace Conference pp. 1 - 10
Main Authors:	Smith, David, Carssow, Douglas
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.03.2025
Subjects:	Accuracy Artificial intelligence Benchmark testing Data models Field programmable gate arrays FPGA Neural networks Quantization Satellites Segmentation Throughput Training Versal Vitis AI YOLO
ISSN:	2996-2358
Online Access:	Get full text
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