期刊文章
lina fang, hao chen, huan luo*, et al., “an intensity-enhanced method for handling mobile laser scanning point clouds,” international journal of applied earth observation and geoinformation, 2022. (sci, 中科院一区，top期刊)
huan luo, quan zheng, lina fang*, et al., “boundary-aware graph markov neural network for semiautomated object segmentation from point clouds,” international journal of applied earth observation and geoinformation, 2021, doi:10.1016/j.jag.20 21.102564. (sci, 中科院一区，top期刊)
guo w, chen j, wang w, luo h*, wang s. three-dimensional object co-localization from moile lidar point clouds. ieee transactions on intelligent transportation systems, 2021.
luo h , zheng q , wang c , guo w*. boundary-aware and semiautomatic segmentation of 3-d object in point clouds[j]. ieee geoscience and remote sensing letters, 2020, pp(99):1-5.
h. luo, c. wang, y. wen and w. guo, "3-d object classification in heterogeneous point clouds via bag-of-words and joint distribution adaption,"ieee geoscience and remote sensing letters, 2019,vol. 16, no. 12, pp. 1909-1913
luo h., wang c.*, wen c., chen z., zai d., yu y., and li j., semantic labeling of mobile lidar point clouds via active learning and higher order mrf, ieee transactions on geoscience and remote sensing, 2018, doi:10.1109/tgrs. 2018.**
luo h., wang c., wen c.*, cai z., chen z., wang h., yu y., and li j., patch-based semantic labeling of road scene using colorized mobile lidar point clouds, ieee transactions on intelligent transportation systems, 2016, 17 (5): 1286-1297
wen c., li j.*, luo h., yu y., cai z., wang h., and wang c., spatial-related traffic sign inspection for inventory purposes using mobile laser scanning data, ieee transactions on intelligent transportation systems, 2015, 17(1): 27-37
wang h., wang c.*, luo h., li p., chen y., and li j., 3-d point cloud object detection based on supervoxel neighborhood with hough forest framework, ieee journal of selected topics in applied earth observations and remote sensing, 2015, 8(4): 1570-1581
huang f., wen c.*, luo h., cheng m., wang c., and li j., local quality assessment of point clouds for indoor mobile mapping. neurocomputing, 2016, 196 (c): 59-69
wang h., wang c.*, luo h., li p., cheng m., and li j., object detection in terrestrial laser scanning point clouds based on hough forest, ieee geoscience and remote sensing letters, 2014, 11 (10): 1807-1811
wang h., luo h., wen c.*, cheng j., li p., chen y., and j. li, road boundaries detection based on local normal saliency from mobile laser scanning data, ieee geoscience and remote sensing letters, 2015, 12 (10): 2085-2089
yu y., li j. *, wen c., guan h., luo h., and wang c, bag-of-visual -phrases and hierarchical deep models for traffic sign detection and recognition in mobile laser scanning data, isprs journal of photogrammetry & remote sensing, 2016, 113, 106-123.
zai d., li j*, luo h., wang c., 3-d road boundary extraction from mobile laser scanning data via supervoxels and graph cuts, ieee transactions on intelligent transportation systems, 2018, 19 (3): 802-813.
会议文章
w. wang, h. luo, q. zheng, c. wang, w. guo: a deep reinforcement learning framework for vehicle detection and pose estimation in 3d point clouds. icais (2) 2020: 405-41
h. luo, c. wang. 2016. exploiting location information to detect light pole in mobile lidar point clouds, international geoscience and remote sensing symposium, 87: 93-107 (ieee: ei).
h. luo, c. wang. 2017. auto-annotation of 3d objects via imagenet, association for the advancement of artificial intelligence conferences
