Real-time multi-image vignetting and exposure correction for image stitching

Seamless image stitching depends not only on the accurate alignments of camera images, but also on the compensation of illumination inconsistencies. Even if two images are aligned perfectly, the seam is still visible if the images have a distinct vignetting or different exposure. Image stitching is used to expand the field of view, but a visible seam can lead to significant errors in subsequent visual perception tasks. As a result, we present a straightforward and accurate method for vignetting and exposure correction for stitched images. Firstly, we estimate the camera response function that maps irradiance to intensity. Then, the vignetting model is determined, which is applied to the irradiance images. After that, the exposure of the stitched images is corrected with the irradiance values at the seam. Finally, the irradiance is converted back into intensity using the camera response function. Our approach is evaluated using data recorded by our experimental vehicle and the public nuScenes dataset. Thereby, we test the performance of our method using the IoU of the histograms as well as the mean absolute error of the intensity values in the overlapping image regions. Further more, we demonstrate the real-time capability of our approach

Integration of SAP Campus Management into a University SOA

This case study depicts the integration of a legacy university resource planning system (URP) into a Service-oriented Architecture (SOA). The idea is to add the functionality of generating so-called Bologna-conforming Transcript of Records to SAP Campus Management (SAP CM). This is done by adding Web service interfaces to SAP CM that are orchestrated in the SOA using the Business Process Execution Language (BPEL). User Interaction is handled via a central University Portal

Delay Resistant Timetabling

The goal of this work is to support a management decision on how much prolongation of travel time one is willing to pay for delay resistance, and to ensure, that for a certain budget of buffer time the maximum resistance against delays is achieved

Integer programming for optimal yaw control of wind farms

It is well-known that wakes caused by the wind turbines within a wind farm negatively impact the power generation and mechanical load of downstream turbines. This is already partially considered in the farm layout. Nevertheless, the strong interactions between individual turbines provide further opportunities to mitigate adverse effects during operation, e.g., by repeatedly adjusting axial induction or yaw angles to current wind conditions. We propose a mathematical approach in form of integer programming for globally optimal yaw control (under some mild assumptions). While we prove the wind farm yaw problem to be strongly -hard in general, we demonstrate through numerical experiments that our method is efficient in practice and enables optimal yaw control under real-world requirements on control update periods. In particular, the approach remains efficient if turbines are deactivated and scales reasonably well with increasing farm width

Screening for Generalized Anxiety Disorder in inpatient psychosomatic rehabilitation: pathological worry and the impact of depressive symptoms

Objective: Pathological worry is considered to be a defining feature for Generalized Anxiety Disorder (GAD). The Penn State Worry Questionnaire (PSWQ) is an instrument for assessing pathological worry. Two earlier studies demonstrated the suitability of the PSWQ as screening instrument for GAD in outpatient and non-clinical samples. This study examined the suitability of the PSWQ as a screening instrument for GAD in a German inpatient sample (N=237). Furthermore, a comparison of patients with GAD and patients with depression and other anxiety disorders regarding pathological worry and depression was carried out in a sub-sample of N=118 patients