Theoretical and experimental investigation into the influence factors for range gated reconstruction

Chua, Sing Yee; Wang, Xin; Guo, Ningqun; Tan, Ching Seong

doi:10.1007/s13320-016-0357-1

Cited by 1 publication

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Essentially, the received intensity is affected by a few main components: laser source, sensor, target, and atmospheric effect [ 15 , 16 ]. In addition, the intensity data is also influenced by other factors such as the near-distance effect [ 17 ], multiple returns [ 18 ], system settings [ 19 ], and automatic gain control [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

Improved Range Estimation Model for Three-Dimensional (3D) Range Gated Reconstruction

Chua

Guo

Tan

et al. 2017

Sensors

Self Cite

View full text Add to dashboard Cite

Accuracy is an important measure of system performance and remains a challenge in 3D range gated reconstruction despite the advancement in laser and sensor technology. The weighted average model that is commonly used for range estimation is heavily influenced by the intensity variation due to various factors. Accuracy improvement in term of range estimation is therefore important to fully optimise the system performance. In this paper, a 3D range gated reconstruction model is derived based on the operating principles of range gated imaging and time slicing reconstruction, fundamental of radiant energy, Laser Detection And Ranging (LADAR), and Bidirectional Reflection Distribution Function (BRDF). Accordingly, a new range estimation model is proposed to alleviate the effects induced by distance, target reflection, and range distortion. From the experimental results, the proposed model outperforms the conventional weighted average model to improve the range estimation for better 3D reconstruction. The outcome demonstrated is of interest to various laser ranging applications and can be a reference for future works.

show abstract