@inproceedings{HenselMarinovSprichetal.,
  author    = {Hensel, Stefan and Marinov, Marin B. and Sprich, Florian and Ganev, Borislav},
  title     = {Image-Based Automated Hit Detection and Score Calculation on a Steel Dartboard},
  series = {2019 Second Balkan Junior Conference on Lighting (Balkan Light Junior)},
  organization    = {IEEE},
  isbn      = {978-1-7281-2098-0 (Online)},
  doi       = {10.1109/BLJ.2019.8883659},
  pages     = {4},
  abstract  = {This paper presents an approach for implementing an automated hit detection and score calculation system for a steel dartboard using a standard webcam. First, the rectilinear field separations of the dartboard are described mathematically by means of line slopes and are than stored. These slopes serve as a basis for later score calculation. In addition, thrown darts have to be detected and the pixel at which the dart cuts the dartboard has to be determined. When this information is known, a comparison is made using the line slopes, allowing the field number of the hit to be detected. The decision for single, double or triple hit is made by evaluating the defined colors on the dartboard. All these functions are then packaged in a Matlab GUI.},
  language  = {en}
}
@inproceedings{HenselMarinovSchwarzetal.,
  author    = {Hensel, Stefan and Marinov, Marin B. and Schwarz, Raphael and Ganev, Borislav},
  title     = {Algorithms for cloud segmentation with ground-based camera images},
  series = {2018 Seventh Balkan Conference on Lighting (BalkanLight)},
  organization    = {IEEE},
  isbn      = {978-1-5386-6730-9},
  doi       = {10.1109/BalkanLight.2018.8546948},
  pages     = {148 -- 153},
  abstract  = {This paper deals with the detection and segmentation of clouds on high-dynamic-range (HDR) images of the sky as well as the calculation of the position of the sun at any time of the year. In order to predict the movement of clouds and the radiation of the sun for a short period of time, the clouds thickness and position have to be known as precisely as possible. Consequently, the segmentation algorithm has to provide satisfactory results regardless of different weather, illumination and climatic conditions. The principle of the segmentation is based on the classification of each pixel as a cloud or as a sky. This classification is usually based on threshold methods, since these are relatively fast to implement and show a low computational burden. In order to predict if and when the sun will be covered by clouds, the position of the sun on the images has to be determined. For this purpose, the zenith and azimuth angles of the sun are determined and converted into XY coordinates.},
  language  = {en}
}
@inproceedings{HenselMarinovGanev,
  author    = {Hensel, Stefan and Marinov, Marin B. and Ganev, Borislav},
  title     = {Performance evaluation of low-cost particulate matter sensors},
  series = {2017 XXVI International Scientific Conference Electronics (ET)},
  publisher = {IEEE},
  doi       = {10.1109/ET.2017.8124367},
  pages     = {1 -- 4},
  abstract  = {The need to measure basic aerosol parameters has increased dramatically in the last decade. This is due mainly to their harmful effect on the environment and on public health. Legislation requires that particle emissions and ambient levels, workplace particle concentrations and exposure to them are measured to confirm that the defined limits are met and the public is not exposed to harmful concentrations of aerosols.},
  language  = {en}
}