The vector of the robot generalized coordinates is q=(xb,yb,θb)∈R3,with xb and yb being the Cartesian coordinates of B in the world frame Fw and θb being the orientation of the vehicle and consequently of the
A point cloud describes a collection of points known in a cartesian tridimensional system and together forming a 3D object [18]. As such, a point cloud is by nature a geometric entity. Early conceptions of a point cloud already existed in traditional land surveying [19]. However, the generat...
A sun position identification algorithm is developed for use in the cloud detection. The major steps of the sun position identification algorithm is shown in Figure 6 below. Polar coordinates(ρ,θ)are used to determine the position sun in a sky image and then converted to Cartesian coordinates...
In alternative embodiments, the ground control points used for an inspection, may each have a unique pattern displayed on the ground control point. The machine learning algorithm may be trained with images for each of the unique patterns. The machine learning algorithm, then may automatically identi...
25. A method of claim 22, wherein referencing within the pointcloud, the any pointcloud data points of the point cloud, in terms of a three-dimensional Cartesian coordinate frame having a point of origin and an orientation, as determined with respect to a chosen point on the autonomous vehi...
This study first develops a bistatic ground Cartesian back-projection (BGCBP) algorithm through subimage wavenumber spectrum correction, specifically adapted to GEO-satellite-based PBSAR. Compared to conventional BP, the BGCBP achieves an order-of-magnitude complexity reduction without resolution ...
This study first develops a bistatic ground Cartesian back-projection (BGCBP) algorithm through subimage wavenumber spectrum correction, specifically adapted to GEO-satellite-based PBSAR. Compared to conventional BP, the BGCBP achieves an order-of-magnitude complexity reduction without resolution ...
The object of interest is first identified in the fisheye image, and then, the image-based target position is obtained by solving using the fisheye projection model and the target center extraction algorithm based on the detected edge information. Next, the LiDAR’s real-time point cloud data ...
The object of interest is first identified in the fisheye image, and then, the image-based target position is obtained by solving using the fisheye projection model and the target center extraction algorithm based on the detected edge information. Next, the LiDAR’s real-time point cloud data ...
Algorithm 1 Force Shadow Method (FSM) Require:𝑚totalmtotal, 𝑤(𝐱)w(x) (cf. (19)), set of hyper parameters 𝒫P; 1: Input: kinematic data: 𝐱CoM𝑠,𝑡xCoMs,t for all segments 𝑠∈𝒮s∈S, 𝐱CoM,𝑡xCoM,t, 𝐱𝐹𝑀xFM, 𝐱𝑉𝑀xVM, 𝐱𝐶𝐴xCA; ...