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CACTUS:使用汽车LiDAR数据语义进行内容意识压缩和传输

Daniele Mari¹, Elena Camuffo¹, Simone Milani¹

¹Department of Information Engineering, University of Padova, Via Gradenigo 6/A, 35131 Padova, Italy.

Sensors (Basel, Switzerland)

|July 8, 2023

概括

本研究介绍了使用语义 (CACTUS) 的内容意识压缩和传输,以实现高效的汽车LiDAR数据传输. CACTUS通过利用语义信息来优化数据传输,改善压缩和速度.

科学领域:

计算机科学计算机科学
电气工程电气工程
汽车技术汽车技术

背景情况:

汽车应用越来越依赖于云/边缘计算,需要传输大型光检测和测距 (LiDAR) 数据集.
有效的点云 (PC) 压缩对于保留在自主系统中对场景理解至关重要的语义信息至关重要.
目前的方法将细分和压缩独立处理,忽视了数据传输优化语义重要性的潜力.

研究的目的:

开发一种新的框架,即使用语义的内容意识压缩和传输 (CACTUS),用于优化汽车LiDAR数据传输.
研究使用语义信息来指导数据传输和提高点云压缩效率.
通过整合语义意识来提高数据压缩编解码器的速度和灵活性.

主要方法:

提出了CACTUS编码框架,该框架将基于语义信息的点云数据分成单独的流.
实现语义一致点集的独立编码,以保存类特定信息.
与传统方法相比,评估了语义信息对数据传输和压缩效率的影响.

主要成果:

实验结果表明,语义上一致的点集的独立编码有效地保留了类信息.
在传输语义信息时,CACTUS策略显示了压缩效率的显著提高.
CACTUS提高了基线数据压缩编码的整体速度和灵活性.

结论:

通过利用语义信息,CACTUS提供了一种有效的方法来优化汽车LiDAR数据传输.
在压缩框架中利用语义意识可以提高效率,并保护关键场景理解数据.
拟议的方法增强了现有的编解码器,为更高效的汽车数据处理和通信铺平了道路.

关键词:

李达尔 (LiDAR) 是一种激光雷达.压缩压缩的压缩方式点云点云是指点云.语义细分语义细分语义细分语义细分传输传输传输传输传输传输

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