Abstract：Characterization of individual trees is essential for many applications in forest management and ecology. Previous studies relied on single tree detection from monochromatic wavelength airborne laser scanning (ALS) systems and they focused on the use of the geometric spatial information of the point clou代文霞，杨必胜，董震

Abstract: 3D building models are an essential data infrastructure for various applications in a smart city system, since they facilitate spatial queries, spatial analysis, and interactive visualization. Due to the highly complex nature of building structures, automatically reconstructing 3D buildings from poi... 胡平波，杨必胜，董震，袁鹏飞，黄荣刚，范红超

Abstract: Laser scanners are widely used to collect coordinates, also known as point-clouds, of three-dimensional free-form objects. For creating a solid model from a given point-cloud and transferring the data from the model, features-based optimization of the point-cloud to minimize the number if points in the cloud is required. To solve this... 杨必胜 梁福逊 臧玉府

​Abstract：Automatic registration of unordered point clouds collected by the terrestrial laser scanner (TLS) is the prerequisite for many applications including 3D model reconstruction, cultural heritage management, forest structure assessment, landslide monitorig, and solar energy analysis. However, most of the existing p... 董震，杨必胜，梁福逊，黄荣刚，Sebastian Scherer

​Abstract：The three-dimensional (3D) reconstruction of urban buildings from point clouds has long been an active topic in applications related to human activities. However, due to the structures significantly differ in terms of complexity, the task of 3D reconstruction remains a challenging issue especially for the freeform surface... 胡平波，董震，袁鹏飞，梁福逊，杨必胜

​Abestract：In the field of airborne LiDAR point clouds processing, the extraction of buildings has been an active research area for many years. However, it is still difficult to distinguish buildings from vegetation and other objects by using the point entity or the segment entity in various complex urban ... Ronggang Huang⁎, Bisheng Yang, Fuxun Liang, Wenxia Dai, Jianping Li, Mao Tian,Wenxue Xu 黄荣刚，杨必胜，梁福逊，代文霞，李建平，田茂，徐文学 Airborne LiDAR point clouds;Top-down strategy;Building extraction;The object entity

ABSTRACT: 3D laser technology is widely used to collocate the surface information of object. For various applications, we need to extract a goodperceptual quality point cloud from the scanned points. To solve the problem, most of,Yufu Zang, Bisheng Yang,杨必胜， 臧玉府

Abstract: Transmission line corridor (i.e., Right-of-Ways (ROW)) clearance management plays a critically important role in power line risk management and is an important task of the routine power line inspection of the grid company. The clearance anomaly detection measures the distance between the power lines and the surrounding non-power-facility objects in the corridor such as trees, and buildings, to judge whether the clearance is within the safe range. To find the clearance hazards efficiently and flexibly, this study thus proposed an automatic clearance anomaly detection method utilizing LiDAR point clouds collected by unmanned aerial vehicle (UAV). Firstly, the terra Chi Chen *, Bisheng Yang * , Shuang Song , Xiangyang Peng , and Ronggang Huang 陈驰，杨必胜 UAV; LiDAR; point clouds; power transmission lines inspection; clearance anomaly; Feature Extraction

摘要:提出一种车载移动测量系统( MMS )激光点云与序列全景影像自动配准方法.首先采用层次化城市场景目标提取方法自激光点云提取天际线矢量,在全​景影像中经虚拟成像与分割角点提取算法生成天际线矢量.然后,将提取结果作为几何配准基元,构建配准基元图,通过最小化配准基元图编辑距离进行匹配,组成共轭配准基元对,解算 ２DＧ３D 粗配准模型,获得全景影像与 LiDAR 点云参考坐标...陈驰，杨必胜，田茂 ,李健平 ,邹响红,吴唯同 ,宋易恒

提出了一种基于多源点云的建筑物立面太阳能潜力估计方法。该方法首先融合地面激光点云和机栽影像数据，然后根据融合数据的特点，设计一种基于射线法的日照时长估计算法，并简化用于建筑物立面的太阳辐射模型，从而实现建筑物立面上的太阳能潜力估计。 梁福逊，杨必胜，黄荣刚，董 震，李健平

Abstract: Traditional indoor laser scanning trolley/backpacks with multi-laser scanner, panorama cameras, and an inertial measurement unit (IMU) installed are a popular solution to the 3D indoor mappingChi Chen , Bisheng Yang , Shuang Song , Mao Tian , Jianping Li , Wenxia Dai and Lina Fang problem. However, the cost of those mapping suits is quite expensive, and can hardly be 陈驰，杨必胜，宋爽，田茂，李建平，代文霞，方莉娜

Abstract：Automatic 3D plane segmentation is necessary for many applications including point cloud registration, building information model (BIM) reconstruction, simultaneous localization and mapping (SLAM), and point cloud compression. However, most of the existing 3D plane segmentation methods still suffer from low precision and recall, an... Zhen Dong, Bisheng Yang, Pingbo Hua, Sebastian Scherer 董震，杨必胜 Plane segmentation；Multiscale supervoxel；Hybrid region growing；Energy optimization；Simulated annealing；Guided sampling

Abstract：Inaccurate exterior orientation parameters (EoPs) between sensors obtained by pre-calibration leads to failure of registration between panoramic image sequence and mobile laser scanning data. To address this challenge, this paper proposes an automatic registration method based on semantic features extracted from p... Jianping Li, Bisheng Yang, Chi Chen, Ronggang Huang, Zhen Dong, Wen Xia 李建平，杨必胜，陈驰，黄荣刚，董震 Panoramic image sequence；Mobile laser scanning data；Semantic features；Registration

Abstract：In order to solve the automation of 3D indoor mapping task, a low cost multi-sensor robot laser scanning system is proposed in this paper. The multiple-sensor robot laser scanning system includes a panorama camera, a laser scanner, and an inertial measurement unit and etc., which are calibrated and synchronized t... 陈驰，邹响红，田茂，李健平，吴唯同，宋易恒，代文霞，杨必胜

Abstract：Lane-level road network updating is crucial for urban traffic applications that use geographic information systems contributing to, for example, intelligent driving, route planning and traffic control. Researchers have developed various algorithms to update road networks using sensor data, such as high-defin... Xue Yang, Luliang Tang, Kathleen Stewart, Zhen Dong, Xia Zhang and Qingquan Li 董震