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• EVOLVABLE ADAS: H-GQM S.M.A.R.T.E.S.T. APPROACH

  D.E. Chickrin, А. А. Egorchev, D.V. Ermakov

  2020-07-20

  Abstract ▼

  The introduction to the mass market of vehicles with an ADAS 3+ level of automation is expected
  in the early 2020s. Currently, the vast majority of automakers conduct research in this
  field, a fairly large number of prototypes, pre-production and production systems have already
  been demonstrated. ADAS (advanced driver assistance systems) are complex hardware & software
  systems, the feature of which is that the core hardware platform remains unchanged for one or
  even several generations of vehicles (5–7 years). At the same time, the system should be able to
  transform and evolve to correct errors and expand functionality, especially due to active development
  of sensory peripheral systems and software algorithms. The GQM methodology and its modifications
  are used to support the development process of complex systems and evaluate them.
  However, these methodologies are limited exclusively to software products. Also, authors of these
  methodologies are not addressing explicitly the issues of applying the GQM methodology for analyzing
  and tracking the process of evolution of complex technical systems. This paper presents HGQM
  (Hardware GQM) methodology for controllable evolution of complex automotive hardware
  & software systems. The H-GQM methodology is based on GQM and is aimed at hardwaresoftware
  systems with a monolithic hardware core, a modifiable software core and atomic peripherals.
  Entity harmonization process is described to prove the applicability of the GQM for software-
  and-hardware systems analysis. S.M.A.R.T.E.S.T goal-setting concept is proposed for choice
  of evolutionary goals. This concept is based on S.M.A.R.T. criteria for the setting objectives of
  business processes and extended with harmonization and evolvability restrictions. The formulation
  of the H-GQM plan framework is provided using ADAS as an example. Within the framework of
  the proposed methodology, an ADAS-specific scalable target template has been formed.

• PROBLEM OF MULTI-CRITERIA OPTIMIZATION OF SELECTION OF AN UNPREPARED HELIDROM

  P.G. Ermakov

  2025-01-14

  Abstract ▼

  The problem of multi-criteria optimization of the choice of an unprepared helidrom to plant the
  unmanned aerial vehicle (UAV) helicopter type on it is considered in this article. The problem of multi -
  criteria optimization of the choice of an unprepared helidrom is formalized based on satisfying requirements
  of the International Civil Aviation Organization (ICAO) to an unprepared helidrom by mi nimizing
  the original loss function taking into account the following data: the probability of availability
  of an unprepared helidrom, the probability of failure of the UAV’s helicopter type onboard system, the
  error of a digital elevation map (DEM) positional information, the error of the UAV’s helicopter type
  coordinates information and the technical characteristics of the UAV helicopter type. It is proposed to
  determine the suitability of an unequipped helidrom based on the maximum height of terrain elements
  of it’s surface using statistical processing of a lidar earth scanning data. The mathematical formulations
  of the problem of decision-making on UAV helicopter type landing are proposed based on requirements
  for an unprepared helidrom in terms of maximum height of terrain elements and soil hardness.
  The comparison of the computational time of algorithms of the choice of an unprepared helidrom
  is completed using Raspberry Pi 3 Model B. The result of a simulation modelling of the proposed opt imal
  algorithm of the choice of an unprepared helidrom for the estimation of its ef ficiency under conditions
  of variability of parameters of the probabilistic loss function using OpenStreetMap and SRTM is
  presented. The result of solving the problem of decision-making on UAV helicopter type landing based
  on a lidar earth scanning data is presented

• INTRODUCTION TO MELLIN OPERATOR THEORY AND SOME OF ITS APPLICATIONS IN SIGNAL PROCESSING

  А. М. Makarov, А.S. Ermakov

  2024-01-05

  Abstract ▼

  Integral transformations have played an important role in the development of the theory and
  its applications for processing information-bearing processes. Mathematically, integral transformations
  map the space of the original variable into a new space of a new variable, that is, they
  map sets of elements of the space of the "many into one" type. In signal theory, the integral Fourier
  transform has been widely used not only as a representation of signals, but also in their spectral
  analysis. The Hilbert integral transformation served as a development of the theory of digital representation
  of broadband signals. The paper discusses the theory of the integral Mellin transform,
  which is not as well known as the previous ones, for its use in signal processing and interference,
  as well as some problems of an applied nature in signal theory. We presented the theory of spectral
  correlation analysis of random processes in the basis of the integral Mellin transform. In particular, a theorem (analogous to the Wiener-Hinchin theorem for the Fourier transform) is proved
  on its basis on the relationship of the correlation function of noise in the basis of the Fourier
  transform with the spectral density of noise power in the basis of the Mellin transform. These results
  can be used as the basis for the synthesis of signal processing algorithms against interference
  in the basis of the integral Mellin transform. Based on it, the functional structure of the signal
  detector has been developed against the background of Gaussian noise with unknown a priori
  correlation function and signal duration. It should be noted that the authors' work considers rather
  complex mathematical calculations. For beginners who get acquainted with the integral
  Mellin transformation, we recommend that you first familiarize yourself with the textbook.