A Practical Algorithm for the Viewpoint Planning of Terrestrial Laser Scanners

Autor: Fengman Jia, Derek D. Lichti
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Geomatics, Vol 2, Iss 2, Pp 181-196 (2022)
Druh dokumentu: article
ISSN: 2673-7418
DOI: 10.3390/geomatics2020011
Popis: Applications using terrestrial laser scanners (TLS) have been skyrocketing in the past two decades. In a scanning project, the configuration of scans is a critical issue as it has significant effects on the project cost and the quality of the product. In this paper, a practical strategy is proposed to resolve the problem of the optimal placement of the terrestrial laser scanner. The method attempts to reduce the number of viewpoints under the premise that the scenes are fully covered. In addition, the approach is designed in a way that the solutions can be efficiently explored. The method has been tested on 540 polygons simulated with different sizes and complexities. The results have also been compared with a benchmark strategy in terms of the optimality of the solutions and runtime. It is concluded that our proposed algorithm ties or reduces the number of viewpoints in the benchmark paper in 85.6% of the 540 tests. For complex environments, the method can potentially reduce the project cost by 10%. Although with relatively lower efficiency, our method can still reach the solution within a few minutes for a polygon with up to 500 vertices.
Databáze: Directory of Open Access Journals