Abstract For mobile robots in uncertain and complex environments, a single sensor obtains set of environmental information, creates maps with low accuracy, is easily disturbed by external factors, collides obstacles the navigation process. In this paper, we propose depth camera LiDAR fusion map building method, which firstly collects data using on board robot, then preprocesses collected radar ...

A novel inline inspection (ILI) approach using depth cameras array (DCA) is introduced to create high-fidelity, dense 3D pipeline models. new camera calibration method register the color and information of into a unified pipe model. By incorporating outcomes robust motion estimation approach, complete surface reconstruction achieved by only image data collected self-powered ILI rover in single ...

In this paper, we present a generic performance model able to evaluate the accuracy of depth estimation using from defocus (DFD). This only requires sensor point spread function at given theoretical estimation. Hence, it can be used for any (un)conventional system, either one or several images. is validated experimentally on two unconventional DFD cameras, coded aperture lens with chromatic abe...