Fig. 1. Scanning constraint model of line laser scanner

Fig. 2. Analysis and experiment on the influence of laser scanner accuracy

Fig. 3. Test results of influencing factors of system error

Fig. 4. Overall flow chart

Fig. 5. Digitizing discrete points of surface mode

Fig. 6. Vector solution of grid vertex method based on external ball catching on four sides

Fig. 7. Normal vector information of digitized discrete points for surface model

Fig. 8. Clustering processing of discrete sampling points

Fig. 9. Division result of discrete point set of curved surface to be measured and scanner attitude

Fig. 10. Analysis of the result of sampling point set partition

Fig. 11. Projection result of discrete sampling point set

Fig. 12. Sampling feature points

Fig. 13. Spatial scanning path point

Fig. 14. Nearest neighbor algorithm based on greedy strategy

Fig. 15. Scanning path

Fig. 16. The relationship between the path distance and the number of changes in scanner posture and the penalty matrix coefficient

Fig. 17. Automatic flexible Measurement system and its coordinate system

Fig. 18. Feature adaptive scanning method

Fig. 19. Schematic diagram of the row cut method scanning path

Fig. 20. Cardoor scanning path

Fig. 21. Measurement accuracy verification tests

Fig. 22. Measurement error distribution

Fig. 23. Comparison of measurement errors