ABSTRACT:Mobile laser scanning systems (MLS) offer a great potential for acquiring detailed point cloud data of urban and suburban surroundings with minimum effort. In this paper a new solution for MLSs is presented, requiring solely a combination of a profile laser scanning device and systems that are included in today's serialized end consumer vehicles. While today's mobile laser scan systems require different and expensive additional hardware that needs to be mounted onto the vehicle, the devices included within vehicle electronics offer good alternatives without additional costs. The actual scan consists of a continuous profile scan together with information gathered from on-board sensor modules. In a postprocessing step, the sensor data is used to reconstruct the car's trajectory for the period of the scan and, based on this information, the track of the scan device for every measured laser pixel. Synchronization of pixel data and vehicle movement is realized via a timestamp signal which is transmitted to the car's field bus system and the scan device. To generate the final point cloud scenario, the trajectory is interpolated for every single scan point and used to convert its local position within the profile into the global coordinate system (Fig.1, Left).
This paper presents a new hardware‐accelerated approach to the volumetric reconstruction of trees from photographs, based on the methods introduced by Reche‐Martinez et al. The system applies an adapted computed tomography (CT) procedure that uses a set of oriented photographs with known interior and exterior camera parameters for creating a 3D model of a tree, while requiring considerably fewer images than standard CT. As tomographic reconstructions are complex tasks that result in time‐consuming processes for high‐resolution volumes, the hitherto existing methods are improved and modified to allow an ideal parallelisation of the computations on graphics hardware. The paper delivers a detailed insight into the complete process of the reconstruction, from the acquisition and preparation of the input data to the implementation of the final system on graphics processing hardware.
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