Compression of Preprocessed Automotive Radar Data by Using Context-Adaptive Binary Arithmetic Coding

The increasing use of high-resolution radars in vehicles with central processing has led to a substantial rise in data within sensor networks. To cope with this challenge, researchers have explored radar data compression techniques aiming to minimize information loss, conserve resources, and enhance...

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Bibliographic Details

Published in:	2024 21st European Radar Conference (EuRAD) pp. 336 - 339
Main Authors:	Ruckert, Rainer, Li, Yanyan, Herglotz, Christian, Sura, Oliver, Kaup, Andre, Vossiek, Martin
Format:	Conference Proceeding
Language:	English
Published:	European Microwave Association (EuMA) 25.09.2024
Subjects:	Arithmetic CABAC compression algorithms Context modeling Data compression data handling Data models data processing Encoding Europe Indexing Probability distribution Quantization (signal) Radar radar data
Online Access:	Get full text
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