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

Rückert R, Li Y, Herglotz C, Sura O, Kaup A, Vossiek M (2024)

Publication Type: Conference contribution

Publication year: 2024

Publisher: IEEE

City/Town: New York City

Pages Range: 336-339

Conference Proceedings Title: 2024 21st European Radar Conference (EuRAD)

DOI: 10.23919/EuRAD61604.2024.10734958

Abstract

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 processing efficiency. These techniques involve lossy preprocessing, quantization, and the creation of a data stream. This paper focuses on three novel lossless compression methods for the data stream, leveraging Context-Adaptive Binary Arithmetic Coding (CABAC). The first method employs Exponential-Golomb coding, the second optimizes the preprocessed radar data stream, and the third isolates non-zero values and their corresponding indices within the data stream. Subsequently, these novel methods utilize CABAC and are proposed and compared against the original CABAC. The achieved compression ratios are evaluated and analyzed.

Authors with CRIS profile

Rainer Rückert Lehrstuhl für Hochfrequenztechnik (LHFT) Yanyan Li Lehrstuhl für Hochfrequenztechnik (LHFT) Oliver Sura Lehrstuhl für Hochfrequenztechnik (LHFT) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Martin Vossiek Lehrstuhl für Hochfrequenztechnik (LHFT)

Additional Organisation(s)

Sonderforschungsbereich 1483/1 - Empathokinästhetische Sensorik - Sensortechniken und Datenanalyseverfahren zur empathokinästhetischen Modellbildung und Zustandsbestimmung (SFB EmpkinS)

Involved external institutions

Brandenburgische Technische Universität Cottbus-Senftenberg (BTU)

Germany (DE)

How to cite

APA:

Rückert, R., Li, Y., Herglotz, C., Sura, O., Kaup, A., & Vossiek, M. (2024). Compression of Preprocessed Automotive Radar Data by Using Context-Adaptive Binary Arithmetic Coding. In 2024 21st European Radar Conference (EuRAD) (pp. 336-339). New York City: IEEE.

MLA:

Rückert, Rainer, et al. "Compression of Preprocessed Automotive Radar Data by Using Context-Adaptive Binary Arithmetic Coding." Proceedings of the 2024 21st European Radar Conference (EuRAD) New York City: IEEE, 2024. 336-339.

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