A Dynamic Object Removal and Reconstruction Algorithm for Point Clouds

Autonomous vehicles (AV) are one of the greatest technological advancements of this decade and a giant leap in the transportation industry and mobile robotics. Autonomous vehicles face several major challenges in achieving higher levels of autonomy. One of these is to find a fast and reliable algorithm to process the sensor data so that the...

Adaptive Radiation Survey Using an Autonomous Robot Executing LiDAR Scans in the Large Hadron Collider

At CERN, radiation surveys of equipment and beam lines are important for safety and analysis throughout the accelerator complex. Radiation measurements are highly dependent on the distance between the sensor and the radiation source. If this distance can be accurately established, the measurements can be used to better understand the...

Revising Surveying and Representation Package of LADM Profile for Serbia to Support 3D Spatial Information

LADM profile for Serbia was developed by Radulović et al. (2017) reflecting the current state of Serbian cadastral information system which is based on 2D spatial information. It also provides general discussion of the need for establishing 3D cadastre in Serbia without specific details about its possible implementations and developments. Given...

3D Habitat Mapping Using High-Resolution Optical Satellite and Lidar Data

Remote sensing datasets are great resources to map habitat types. In this study, 3D habitat maps were generated using high-resolution multispectral imagery and a LiDAR-derived digital surface model (DSM). Two study areas in the United Kingdom (UK) were selected to investigate the potential of the developed models in habitat classification. The...

Automatic Tree Breast Height Diameter Estimation from Laser Mobile Mapping Data in an Urban Context

This study focuses on developing an innovative methodology to automatically estimate the diameter at breast height (DBH) of urban trees sampled by a Laser Mobile Mapping System (LMMS). The high-quality results confirm the feasibility of the proposed methodology, providingscalability to a comprehensive analysis of urban trees.

Aspects of Representing LiDAR Data Used for Updating

Performing environmental spatial analysis requires the collection of base data and special data, subject to the type of analysis in hand, among this data of course LiDAR data can be of much usefulness, in our particular case mobile network data were collected to assess the usefulness of using it for updating some features of the base map that...

The Vectorial Segmentation of Buildings in Vila Cafezal Informal Settlement Aimed at 3D Cadastre Creation

The informal settlement is a degraded public or private owned area of a particular city characterized by substandard housing, lack of infrastructure and without land tenure regularization. It is a characteristic of urban settlement that emerged in the early twentieth century, a consequence of the process of uneven economic development between...

Simplified 3D city models from LiDAR

Aerial laser scan data is widely used to produce 2½D digital elevation models automatically. However, creating full 3D city models from this data is a complex task. A simplified 3D model, like a 2½D model with vertical walls will be easier to produce automatically, especially when the model is not produced to look nice, but just to give...

Skeleton-based botanic tree diameter estimation from dense LiDAR data

New airborne LiDAR (Light Detection and Ranging) measurement systems, like the FLI-MAP 400 System, make it possible to obtain high density data containing far more information about single objects, like trees, than traditional airborne laser systems. Therefore, it becomes feasible to analyze geometric properties of trees on the individual object...