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Edge preserving (e.g. total variation minimized) regularized image deblurring methods are actively researched with many practical applications. Formally this type of deblurring is equivalent to a convex non-smooth optimization problem. In this paper we describe an ADMM optimization based effective algorithm, which can be considered as an improved version of a previously published method. Due to the...
Estimating algorithmic complexity of complex software systems is important as based on such estimations we can approximate certain run-time properties of the software, like worst-case execution time or latency of critical components. These estimations are also necessary e.g. to plan with the required hardware capacity to run the software. While software design usually deals with algorithmic complexity,...
This paper presents a method for path reconstruction from logged MEMS gyroscope and odometer measurements, through the estimation of the gyroscope bias from GPS data. The bias estimation is done by minimizing the distance between the reconstructed path and the external reference positions (GPS) by tuning the bias with common minimization methods. Both gradient based and quasi-Newton minimization methods...
Statistics show that in most of the automotive developments the role of the electronics is getting more and more significant. Some say that today, 90 percent of all innovation in the automotive sector are driven by electronics and software. Many of these developments and innovations affect safety critical functions. Standards like ISO 26262 give guidelines for testing electronic control units. Few...
Developing software for safety critical embedded systems requires extensive testing, and HIL (Hardware in the Loop) test has one of the most important roles in this testing process. Modern microcontrollers can provide opportunities to improve the efficiency and capability of traditional HIL testing. Many of these opportunities are connected to their internal so called Trace interfaces. This paper...
In this paper, we address the problem of small pulmonary nodule detection on digital tomosynthesis (DT) scans. We propose efficient, domain-specific filters for the enhancement and classification of bright, rounded structures in three-dimensional volumes. First, 61 DT slices per scan are reconstructed from the DT projections by filtered backprojection (FBP). Next, nodule candidates are searched slice-wise...
Optimal control problems could be solved with reinforcement learning. However it is challenging to use it with continuous state and action spaces, not to speak about partially observable environments. In this paper we propose a reinforcement learning system for partially observable environments with continuous state and action spaces. The method utilizes novel machine learning methods, the Echo State...
Novel architectures and processors are designed to satisfy the needs specified by functional safety standards, like IEC 61508 and ISO 26262. An example for this devices is the TMS570 from Texas Instruments, which is a SIL3 (Safety Integrity Level 3) capable microcontroller. The question is whether a specialized hardware alone, like the TMS570 is enough for reaching safety goals or additional efforts...
Contralateral subtraction is an image processing technique aimed to enhance asymmetries in chest radiographs. Since malignant processes often result in asymmetrical lesions, a computer aided diagnostic system capable of enhancing asymmetries on these images could support the diagnostic procedure. The technique itself consists of registration of the two lung areas, and subtraction of the registered...
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