Abstract: A method for calibrating a radar sensor of a vehicle includes fixing the vehicle in place on a transport; moving the vehicle along a route past a reflector for radar waves using the transport; irradiating the reflector with radar waves and receiving reflected radar waves using the radar sensor while the vehicle is moved along the route; determining a position and/or an alignment of the radar sensor relative to the reflector multiple times based on the reflected radar waves; and spatially calibrating the radar sensor based on the ascertained positions and alignments relative to the reflector by ascertaining a position and/or an alignment of the radar sensor relative to the vehicle.

Abstract: A method for calibrating a radar sensor of a vehicle includes fixing the vehicle in place on a transport; moving the vehicle along a route past a reflector for radar waves using the transport; irradiating the reflector with radar waves and receiving reflected radar waves using the radar sensor while the vehicle is moved along the route; determining a position and/or an alignment of the radar sensor relative to the reflector multiple times based on the reflected radar waves; and spatially calibrating the radar sensor based on the ascertained positions and alignments relative to the reflector by ascertaining a position and/or an alignment of the radar sensor relative to the vehicle.

Abstract: A computer-implemented method of performing image reconstruction with sequential cycle-spinning includes a computer system acquiring an input signal comprising k-space data using a magnetic resonance imaging (MRI) device and initializing an estimate of a sparse signal associated with the input signal. The computer system selects one or more orthogonal wavelet transforms corresponding to a wavelet family and performs an iterative reconstruction process to update the estimate of the sparse signal over a plurality of iterations. During each iteration, one or more orthogonal wavelet transforms are applied to the estimate of the sparse signal to yield one or more orthogonal domain signals, the estimate of the sparse signal is updated by applying a non-convex shrinkage function to the one or more orthogonal domain signals, and a shift to the orthogonal wavelet transforms. Following the iterative reconstruction process, the computer system generates an image based on the estimate of the sparse signal.