NEW HAUSDORFF DISTANCE-BASED VEHICLE LOCATION
摘要
Objective To realize accurate localization of moving vehicles from single monocular intensity image. Methods The new modified Hausdorff distance(M2HD) was adopted, which used dominant points instead of edge maps as features for measuring similarity between image and model projection. Modified simulated annealing (MSA) algorithm was used to find optimum localization parameters. Results M2HD reduces the computational complexity, and improves the matching precision. Furthermore, MSA can fast find global optimum instead of getting into partial one because of its high parallel and robust performance. Conclusion Experiments confirm that the combination of MSA and M2HD can effectively localize the vehicles that are changed both in translation and rotation