RIEGL recently contributed to the first large-scale field test to benchmark auto LiDAR performance using calibrated targets with the intent of making the results public, and was implemented as part of the SPIE Defense + Commercial Sensing meeting in Orlando held earlier this year. By providing the use of a VZ-400i Terrestrial Laser Scanner, RIEGL was used as the reference dataset for the site and targets. This project is planned to be a multi-year endeavor and will help pave the way for additional comparative research and testing, ideally contributing to the development of industry-recognized standard measurements for LiDAR performance.
From the RIEGL news room.
“At SPIE 2022, there were a series of Benchmarking tests of automotive LiDARs for autonomous vehicle control.” said James Van Rens, Senior Vice President of RIEGL USA. “Riegl was honored to be able support this critically important test. Our VZ-400i was the instrument that was used to determine the base map and target determination. The VZ-400i is a high performance stationary terrestrial lidar that provided the precision and flexibility for the Benchmarking test.”
The test included ten LiDAR devices and was held at Orlando’s NeoCity, a research epicenter for smart sensors. The benchmarking study results explored the performance of the various LiDAR systems – including their range, accuracy, and image resolution – using calibrated targets and an array of typical road signs, barriers, and cones distributed at various distances.
To establish a highly accurate “ground truth” dataset as a baseline, the 3D data from each automotive LiDAR was compared to a survey-grade LiDAR system, in this case, the RIEGL VZ-400i. Variations from ground truth are being analyzed by a group from Michigan Technological University led by Professor Jeremy Bos; the Exciting Technology team; and Charlie Kershner of the National Geospatial-Intelligence Agency.
For the complete reference article CLICK HERE.
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