Abstract：Extracting road information from point clouds obtained through mobile laser scanning (MLS) is essential for autonomous vehicle navigation, and has hence garnered a growing amount of research interest in recent years. However, 杨必胜，刘缘，董震，梁福逊，Bisheng Yang , Yuan Liu , Zhen Dong , Fuxun Liang , Bijun Li , Xiangyang Peng Point cloud processingFeature extractionRoad markingCurbDetection

Abstract：3D local surface description is now at the core of many computer vision technologies, such as 3D object recognition, intelligent driving, and 3D model reconstruction. However, most of the existing 3D feature descriptors still suffer from low 董震，杨必胜，刘缘，梁福逊，

Abstract：In recent years, updating the inventory of road infrastructures based on field work is labor intensive, time consuming, and costly. Fortunately, vehicle-based mobile laser scanning (MLS) systems provide an efficient solution to rapidly capture three-dimensional (3D) point clouds of road environments with high flexibility and precision. However, robust recognition of road facilities fr... 杨必胜，董震，刘缘，梁福逊，王永军

Abstract:In order to accomplish the automatic mobile mapping task in a small area of interest, a low cost UAV system is proposed in this paper. Multiple sensors including a global shutter camera and an inertial measurement unit are calibrated and synchronized to colle...Author(s): Li, J.; Yang, B.; Wu, W.; Dai, W.; Chen, C.; Zou, X.; Tian, M.作者：李建平，杨必胜，吴唯同，代文霞，陈驰，邹响红，田茂

Abstract: Reconstructing building models at different levels of detail (LoDs) from airborne laser scanning point clouds is urgently needed for wide application as this method can balance between the user’s requirements and economic costs. The previous methods reconstruct building LoDs from the finest 3D building mo... Bisheng Yang, Ronggang Huang, Jianping Li, Mao Tian, Wenxia Dai and Ruofei Zhong 杨必胜，黄荣刚，李建平，田茂，代文霞 airborne LiDAR point clouds; building point extraction; building LoDs; the morphological scale space; point cloud segmentation

​Abstract：The extraction of ground points and breaklines is a crucial step during generation of high quality digital elevation models (DEMs) from airborne LiDAR point clouds. In this study, we propose a novel automated method for this task. To overcome the disadvantages of applying a single filtering method in areas with various ty... 杨必胜，黄荣刚，董震，臧玉府，李健平

Chen Chi , Yang BishengAbstract：Laser point clouds captured using terrestrial laser scanning (TLS) in an uncontrollable urban outdoor or indoor scene suffer from irregular shaped data blanks caused by dynamic occlusion that temporarily exists, i.e., moving objects, such as pedestrians or cars, resulting in integrality and quality losses of the scene data. This paper proposes a novel automatic ... 陈驰，杨必胜

​Abstract—Lane-based road network information, such as the number and locations of traffic lanes on a road, has played an important role in intelligent transportation systems. In this paper, we propose a Collecting Lane-based Road Information via Crowdsourcing(CLRIC)method,whichcan automaticallyextract detailed lane structure of roads by using... Luliang Tang, Xue Yang, Zhen Dong, and Qingquan Li 唐炉亮，杨雪，董震，李清泉