What does this research mean for the field?

A target-accuracy-constrained planning method using a genetic algorithm optimizes terrestrial laser scanning station layouts for two-dimensional component contours, outperforming traditional visibility-based layouts by satisfying coverage requirements and dimensional deviation limits. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop and evaluate a target-accuracy-constrained station planning method using a genetic algorithm for two-dimensional component contour dimensional inspection.

August 28, 2026Survey Review

Target-accuracy-constrained station planning for terrestrial laser scanning of two-dimensional component contours using a genetic algorithm

View Full Paper

Ask AI

Bookmark

Authors

JCJiaxin Chen LWLiping Wang WLWenwen Luo

Discussion

Member takes

Overview

Computational study demonstrates sub-2 mm inspection accuracy for 2D contours using genetic-algorithm-based station planning, indicating superior performance over visibility-only layouts.

Key Points

To develop and evaluate a target-accuracy-constrained station planning method using a genetic algorithm for two-dimensional component contour dimensional inspection.
Converted prescribed tolerance limits into feasible scanner distance and incidence-angle constraints via controlled measurements.
Applied a genetic algorithm to optimize terrestrial laser scanner station layouts based on accuracy-valid coverage criteria for a Trimble X12 scanner under a 2 mm tolerance threshold.
Determined a feasible scanning range of 1–2 m and a maximum incidence angle of 24.2° under the 2 mm tolerance criterion.
Demonstrated that a six-station layout satisfied the 95% coverage requirement and achieved a maximum dimensional deviation of 1.8 mm, outperforming outward-shifted and visibility-based layouts.

Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/6a914622d15324a1df3a97da https://doi.org/10.1080/00396265.2026.2721730

View Full Paper

Ask AI

Bookmark

August 28, 2026Survey Review

Target-accuracy-constrained station planning for terrestrial laser scanning of two-dimensional component contours using a genetic algorithm

View Full Paper

Ask AI

Bookmark

Authors

JCJiaxin Chen LWLiping Wang WLWenwen Luo

Discussion

Member takes

Overview

Computational study demonstrates sub-2 mm inspection accuracy for 2D contours using genetic-algorithm-based station planning, indicating superior performance over visibility-only layouts.

Key Points

To develop and evaluate a target-accuracy-constrained station planning method using a genetic algorithm for two-dimensional component contour dimensional inspection.
Converted prescribed tolerance limits into feasible scanner distance and incidence-angle constraints via controlled measurements.
Applied a genetic algorithm to optimize terrestrial laser scanner station layouts based on accuracy-valid coverage criteria for a Trimble X12 scanner under a 2 mm tolerance threshold.
Determined a feasible scanning range of 1–2 m and a maximum incidence angle of 24.2° under the 2 mm tolerance criterion.
Demonstrated that a six-station layout satisfied the 95% coverage requirement and achieved a maximum dimensional deviation of 1.8 mm, outperforming outward-shifted and visibility-based layouts.

Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/6a914622d15324a1df3a97da https://doi.org/10.1080/00396265.2026.2721730

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark