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

Hardware Accelerated Compression of LIDAR Data Using FPGA Devices

email and * email
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)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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
PDF Full-text Download PDF Full-Text [842 KB, uploaded 21 June 2014 07:11 CEST]

Export to BibTeX |

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