Sensors 2013, 13(5), 6405-6422; doi:10.3390/s130506405

Hardware Accelerated Compression of LIDAR Data Using FPGA Devices

Jozef Stefan Institute, Jamova 39, Ljubljana 1000, Slovenia
* Author to whom correspondence should be addressed.
Received: 30 March 2013; in revised form: 24 April 2013 / Accepted: 3 May 2013 / Published: 14 May 2013
(This article belongs to the Section Physical Sensors)
PDF Full-text Download PDF Full-Text [842 KB, uploaded 14 May 2013 11:03 CEST]
Abstract: Airborne Light Detection and Ranging (LIDAR) has become a mainstream technology for terrain data acquisition and mapping. High sampling density of LIDAR enables the acquisition of high details of the terrain, but on the other hand, it results in a vast amount of gathered data, which requires huge storage space as well as substantial processing effort. The data are usually stored in the LAS format which has become the de facto standard for LIDAR data storage and exchange. In the paper, a hardware accelerated compression of LIDAR data is presented. The compression and decompression of LIDAR data is performed by a dedicated FPGA-based circuit and interfaced to the computer via a PCI-E general bus. The hardware compressor consists of three modules: LIDAR data predictor, variable length coder, and arithmetic coder. Hardware compression is considerably faster than software compression, while it also alleviates the processor load.
Keywords: data compression; LIDAR; FPGA; hardware acceleration

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Biasizzo, A.; Novak, F. Hardware Accelerated Compression of LIDAR Data Using FPGA Devices. Sensors 2013, 13, 6405-6422.

AMA Style

Biasizzo A, Novak F. Hardware Accelerated Compression of LIDAR Data Using FPGA Devices. Sensors. 2013; 13(5):6405-6422.

Chicago/Turabian Style

Biasizzo, Anton; Novak, Franc. 2013. "Hardware Accelerated Compression of LIDAR Data Using FPGA Devices." Sensors 13, no. 5: 6405-6422.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert