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      <journal-id journal-id-type="ojs">IE</journal-id>
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        <journal-title xml:lang="ru">&#x421;&#x422;&#x420;&#x41E;&#x418;&#x422;&#x415;&#x41B;&#x42C;&#x41D;&#x42B;&#x415; &#x418; &#x414;&#x41E;&#x420;&#x41E;&#x416;&#x41D;&#x42B;&#x415; &#x41C;&#x410;&#x428;&#x418;&#x41D;&#x42B;</journal-title>
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          <trans-title>STROITEL'NYE I DOROZHNYE MASHINY</trans-title>
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      <issn pub-type="ppub">0039-2391</issn>
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      <article-id pub-id-type="other" specific-use="edn">NMMEBO</article-id>
      <article-id pub-id-type="doi">10.25726/o8616-3347-3548-a</article-id>
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        <article-title xml:lang="ru">&#x424;&#x43E;&#x442;&#x43E;&#x433;&#x440;&#x430;&#x43C;&#x43C;&#x435;&#x442;&#x440;&#x438;&#x44F; &#x432; &#x446;&#x438;&#x444;&#x440;&#x43E;&#x432;&#x43E;&#x439; &#x442;&#x440;&#x430;&#x43D;&#x441;&#x444;&#x43E;&#x440;&#x43C;&#x430;&#x446;&#x438;&#x438; &#x44D;&#x43A;&#x441;&#x43F;&#x435;&#x440;&#x442;&#x43D;&#x43E;&#x433;&#x43E; &#x438;&#x441;&#x441;&#x43B;&#x435;&#x434;&#x43E;&#x432;&#x430;&#x43D;&#x438;&#x44F; &#x43F;&#x440;&#x43E;&#x438;&#x441;&#x448;&#x435;&#x441;&#x442;&#x432;&#x438;&#x439; &#x441; &#x443;&#x447;&#x430;&#x441;&#x442;&#x438;&#x435;&#x43C; &#x441;&#x442;&#x440;&#x43E;&#x438;&#x442;&#x435;&#x43B;&#x44C;&#x43D;&#x44B;&#x445; &#x438; &#x434;&#x43E;&#x440;&#x43E;&#x436;&#x43D;&#x44B;&#x445; &#x43C;&#x430;&#x448;&#x438;&#x43D;</article-title>
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          <trans-title>Photogrammetry in the digital transformation of forensic examination of incidents involving construction and road machinery</trans-title>
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              <surname>Evstropov</surname>
              <given-names>Dmitry A.</given-names>
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          <email>dmitry.evstropov@gmail.com</email>
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              <surname>Kondakov</surname>
              <given-names>Alexander V.</given-names>
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          <email>akondakov77@mail.ru</email>
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          <institution content-type="orgname">Volgograd Academy of the Ministry of Internal Affairs of the Russian Federation, 400089, Volgograd, Istoricheskaya St., 130</institution>
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          <institution content-type="orgname">Saint Petersburg Academy of the Investigative Committee of the Russian Federation, 190000, St. Petersburg, Moika River Embankment, 96</institution>
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      <pub-date date-type="pub" publication-format="epub">
        <day>30</day>
        <month>09</month>
        <year>2026</year>
      </pub-date>
      <volume>70</volume>
      <issue>9</issue>
      <fpage>93</fpage>
      <lpage>103</lpage>
      <history>
        <date date-type="received" iso-8601-date="2026-07-07">
          <day>07</day>
          <month>07</month>
          <year>2026</year>
        </date>
      </history>
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        <copyright-statement xml:lang="ru">&#xA9; 2026 &#x421;&#x422;&#x420;&#x41E;&#x418;&#x422;&#x415;&#x41B;&#x42C;&#x41D;&#x42B;&#x415; &#x418; &#x414;&#x41E;&#x420;&#x41E;&#x416;&#x41D;&#x42B;&#x415; &#x41C;&#x410;&#x428;&#x418;&#x41D;&#x42B;. &#x412;&#x441;&#x435; &#x43F;&#x440;&#x430;&#x432;&#x430; &#x437;&#x430;&#x449;&#x438;&#x449;&#x435;&#x43D;&#x44B;.</copyright-statement>
        <copyright-statement xml:lang="en">&#xA9; 2026 STROITEL'NYE I DOROZHNYE MASHINY. All rights reserved.</copyright-statement>
        <copyright-year>2026</copyright-year>
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        <copyright-holder xml:lang="en">STROITEL'NYE I DOROZHNYE MASHINY</copyright-holder>
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        <license license-type="open-access" specific-use="metadata" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/" xml:lang="en">
          <license-p>The metadata of this record are distributed under the Creative Commons CC0 1.0 Universal Public Domain Dedication.</license-p>
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      <self-uri xlink:href="https://iereview.ru/index.php/IE/article/view/395"/>
      <abstract xml:lang="ru">
        <p>&#x420;&#x430;&#x441;&#x441;&#x43C;&#x430;&#x442;&#x440;&#x438;&#x432;&#x430;&#x44E;&#x442;&#x441;&#x44F; &#x432;&#x43E;&#x437;&#x43C;&#x43E;&#x436;&#x43D;&#x43E;&#x441;&#x442;&#x438; &#x43F;&#x440;&#x438;&#x43C;&#x435;&#x43D;&#x435;&#x43D;&#x438;&#x44F; &#x444;&#x43E;&#x442;&#x43E;&#x433;&#x440;&#x430;&#x43C;&#x43C;&#x435;&#x442;&#x440;&#x438;&#x438; &#x43F;&#x440;&#x438; &#x44D;&#x43A;&#x441;&#x43F;&#x435;&#x440;&#x442;&#x43D;&#x43E;&#x43C; &#x438;&#x441;&#x441;&#x43B;&#x435;&#x434;&#x43E;&#x432;&#x430;&#x43D;&#x438;&#x438; &#x43F;&#x440;&#x43E;&#x438;&#x441;&#x448;&#x435;&#x441;&#x442;&#x432;&#x438;&#x439; &#x441; &#x443;&#x447;&#x430;&#x441;&#x442;&#x438;&#x435;&#x43C; &#x441;&#x442;&#x440;&#x43E;&#x438;&#x442;&#x435;&#x43B;&#x44C;&#x43D;&#x44B;&#x445; &#x438; &#x434;&#x43E;&#x440;&#x43E;&#x436;&#x43D;&#x44B;&#x445; &#x43C;&#x430;&#x448;&#x438;&#x43D; (&#x421;&#x414;&#x41C;): &#x434;&#x43E;&#x440;&#x43E;&#x436;&#x43D;&#x43E;-&#x442;&#x440;&#x430;&#x43D;&#x441;&#x43F;&#x43E;&#x440;&#x442;&#x43D;&#x44B;&#x445; &#x43F;&#x440;&#x43E;&#x438;&#x441;&#x448;&#x435;&#x441;&#x442;&#x432;&#x438;&#x439; &#x441; &#x443;&#x447;&#x430;&#x441;&#x442;&#x438;&#x435;&#x43C; &#x441;&#x430;&#x43C;&#x43E;&#x445;&#x43E;&#x434;&#x43D;&#x43E;&#x439; &#x442;&#x435;&#x445;&#x43D;&#x438;&#x43A;&#x438;, &#x43D;&#x435;&#x441;&#x447;&#x430;&#x441;&#x442;&#x43D;&#x44B;&#x445; &#x441;&#x43B;&#x443;&#x447;&#x430;&#x435;&#x432; &#x438; &#x430;&#x432;&#x430;&#x440;&#x438;&#x439; &#x43D;&#x430; &#x441;&#x442;&#x440;&#x43E;&#x438;&#x442;&#x435;&#x43B;&#x44C;&#x43D;&#x44B;&#x445; &#x43F;&#x43B;&#x43E;&#x449;&#x430;&#x434;&#x43A;&#x430;&#x445; &#x438; &#x432; &#x437;&#x43E;&#x43D;&#x430;&#x445; &#x43F;&#x440;&#x43E;&#x438;&#x437;&#x432;&#x43E;&#x434;&#x441;&#x442;&#x432;&#x430; &#x434;&#x43E;&#x440;&#x43E;&#x436;&#x43D;&#x44B;&#x445; &#x440;&#x430;&#x431;&#x43E;&#x442;, &#x43F;&#x43E;&#x432;&#x440;&#x435;&#x436;&#x434;&#x435;&#x43D;&#x438;&#x439; &#x438; &#x440;&#x430;&#x437;&#x440;&#x443;&#x448;&#x435;&#x43D;&#x438;&#x439; &#x43C;&#x435;&#x442;&#x430;&#x43B;&#x43B;&#x43E;&#x43A;&#x43E;&#x43D;&#x441;&#x442;&#x440;&#x443;&#x43A;&#x446;&#x438;&#x439;. &#x41F;&#x43E;&#x43A;&#x430;&#x437;&#x430;&#x43D;&#x43E;, &#x447;&#x442;&#x43E; &#x444;&#x43E;&#x442;&#x43E;&#x433;&#x440;&#x430;&#x43C;&#x43C;&#x435;&#x442;&#x440;&#x438;&#x44F; &#x434;&#x43E;&#x43B;&#x436;&#x43D;&#x430; &#x440;&#x430;&#x441;&#x441;&#x43C;&#x430;&#x442;&#x440;&#x438;&#x432;&#x430;&#x442;&#x44C;&#x441;&#x44F; &#x43D;&#x435; &#x442;&#x43E;&#x43B;&#x44C;&#x43A;&#x43E; &#x43A;&#x430;&#x43A; &#x441;&#x43F;&#x43E;&#x441;&#x43E;&#x431; &#x43F;&#x43E;&#x43B;&#x443;&#x447;&#x435;&#x43D;&#x438;&#x44F; &#x442;&#x440;&#x435;&#x445;&#x43C;&#x435;&#x440;&#x43D;&#x43E;&#x433;&#x43E; &#x438;&#x437;&#x43E;&#x431;&#x440;&#x430;&#x436;&#x435;&#x43D;&#x438;&#x44F;, &#x43D;&#x43E; &#x438; &#x43A;&#x430;&#x43A; &#x44D;&#x43B;&#x435;&#x43C;&#x435;&#x43D;&#x442; &#x446;&#x438;&#x444;&#x440;&#x43E;&#x432;&#x43E;&#x439; &#x438;&#x43D;&#x444;&#x440;&#x430;&#x441;&#x442;&#x440;&#x443;&#x43A;&#x442;&#x443;&#x440;&#x44B; &#x44D;&#x43A;&#x441;&#x43F;&#x435;&#x440;&#x442;&#x43D;&#x43E;&#x433;&#x43E; &#x443;&#x447;&#x440;&#x435;&#x436;&#x434;&#x435;&#x43D;&#x438;&#x44F;. &#x421;&#x438;&#x441;&#x442;&#x435;&#x43C;&#x430;&#x442;&#x438;&#x437;&#x438;&#x440;&#x43E;&#x432;&#x430;&#x43D;&#x44B; &#x43E;&#x431;&#x44A;&#x435;&#x43A;&#x442;&#x44B; &#x444;&#x438;&#x43A;&#x441;&#x430;&#x446;&#x438;&#x438;, &#x445;&#x430;&#x440;&#x430;&#x43A;&#x442;&#x435;&#x440;&#x43D;&#x44B;&#x435; &#x434;&#x43B;&#x44F; &#x421;&#x414;&#x41C; (&#x441;&#x43B;&#x435;&#x434;&#x44B; &#x433;&#x443;&#x441;&#x435;&#x43D;&#x438;&#x447;&#x43D;&#x44B;&#x445; &#x438; &#x43F;&#x43D;&#x435;&#x432;&#x43C;&#x43E;&#x43A;&#x43E;&#x43B;&#x435;&#x441;&#x43D;&#x44B;&#x445; &#x434;&#x432;&#x438;&#x436;&#x438;&#x442;&#x435;&#x43B;&#x435;&#x439;, &#x441;&#x43B;&#x435;&#x434;&#x44B; &#x440;&#x430;&#x431;&#x43E;&#x447;&#x438;&#x445; &#x43E;&#x440;&#x433;&#x430;&#x43D;&#x43E;&#x432;, &#x434;&#x435;&#x444;&#x43E;&#x440;&#x43C;&#x430;&#x446;&#x438;&#x438; &#x43D;&#x435;&#x441;&#x443;&#x449;&#x438;&#x445; &#x43C;&#x435;&#x442;&#x430;&#x43B;&#x43B;&#x43E;&#x43A;&#x43E;&#x43D;&#x441;&#x442;&#x440;&#x443;&#x43A;&#x446;&#x438;&#x439; &#x438; &#x43A;&#x430;&#x431;&#x438;&#x43D;, &#x43F;&#x430;&#x440;&#x430;&#x43C;&#x435;&#x442;&#x440;&#x44B; &#x43E;&#x43F;&#x43E;&#x440;&#x43D;&#x43E;&#x439; &#x43F;&#x43E;&#x432;&#x435;&#x440;&#x445;&#x43D;&#x43E;&#x441;&#x442;&#x438; &#x432; &#x437;&#x43E;&#x43D;&#x435; &#x440;&#x430;&#x431;&#x43E;&#x442;), &#x438; &#x43F;&#x430;&#x440;&#x430;&#x43C;&#x435;&#x442;&#x440;&#x44B;, &#x43E;&#x43F;&#x440;&#x435;&#x434;&#x435;&#x43B;&#x44F;&#x435;&#x43C;&#x44B;&#x435; &#x43F;&#x43E; &#x438;&#x445; &#x442;&#x440;&#x435;&#x445;&#x43C;&#x435;&#x440;&#x43D;&#x44B;&#x43C; &#x43C;&#x43E;&#x434;&#x435;&#x43B;&#x44F;&#x43C;. &#x421;&#x444;&#x43E;&#x440;&#x43C;&#x443;&#x43B;&#x438;&#x440;&#x43E;&#x432;&#x430;&#x43D;&#x44B; &#x442;&#x440;&#x435;&#x431;&#x43E;&#x432;&#x430;&#x43D;&#x438;&#x44F; &#x43A; &#x441;&#x44A;&#x435;&#x43C;&#x43A;&#x435; &#x43A;&#x440;&#x443;&#x43F;&#x43D;&#x43E;&#x433;&#x430;&#x431;&#x430;&#x440;&#x438;&#x442;&#x43D;&#x43E;&#x439; &#x442;&#x435;&#x445;&#x43D;&#x438;&#x43A;&#x438;: &#x43C;&#x430;&#x441;&#x448;&#x442;&#x430;&#x431;&#x438;&#x440;&#x43E;&#x432;&#x430;&#x43D;&#x438;&#x435; &#x43F;&#x43E; &#x43D;&#x435;&#x437;&#x430;&#x432;&#x438;&#x441;&#x438;&#x43C;&#x44B;&#x43C; &#x43A;&#x43E;&#x43D;&#x442;&#x440;&#x43E;&#x43B;&#x44C;&#x43D;&#x44B;&#x43C; &#x440;&#x430;&#x441;&#x441;&#x442;&#x43E;&#x44F;&#x43D;&#x438;&#x44F;&#x43C;, &#x441;&#x445;&#x435;&#x43C;&#x430; &#x441;&#x44A;&#x435;&#x43C;&#x43A;&#x438; &#x438; &#x43F;&#x435;&#x440;&#x435;&#x43A;&#x440;&#x44B;&#x442;&#x438;&#x435; &#x441;&#x43D;&#x438;&#x43C;&#x43A;&#x43E;&#x432;, &#x441;&#x43E;&#x447;&#x435;&#x442;&#x430;&#x43D;&#x438;&#x435; &#x43D;&#x430;&#x437;&#x435;&#x43C;&#x43D;&#x43E;&#x439; &#x441;&#x44A;&#x435;&#x43C;&#x43A;&#x438; &#x438; &#x441;&#x44A;&#x435;&#x43C;&#x43A;&#x438; &#x441; &#x431;&#x435;&#x441;&#x43F;&#x438;&#x43B;&#x43E;&#x442;&#x43D;&#x44B;&#x445; &#x432;&#x43E;&#x437;&#x434;&#x443;&#x448;&#x43D;&#x44B;&#x445; &#x441;&#x443;&#x434;&#x43E;&#x432; &#x432; &#x435;&#x434;&#x438;&#x43D;&#x43E;&#x439; &#x441;&#x438;&#x441;&#x442;&#x435;&#x43C;&#x435; &#x43A;&#x43E;&#x43E;&#x440;&#x434;&#x438;&#x43D;&#x430;&#x442;, &#x43D;&#x435;&#x437;&#x430;&#x432;&#x438;&#x441;&#x438;&#x43C;&#x430;&#x44F; &#x43F;&#x440;&#x43E;&#x432;&#x435;&#x440;&#x43A;&#x430; &#x442;&#x43E;&#x447;&#x43D;&#x43E;&#x441;&#x442;&#x438;. &#x41F;&#x440;&#x435;&#x434;&#x43B;&#x43E;&#x436;&#x435;&#x43D;&#x44B; &#x43F;&#x43E;&#x44D;&#x442;&#x430;&#x43F;&#x43D;&#x430;&#x44F; &#x43C;&#x43E;&#x434;&#x435;&#x43B;&#x44C; &#x432;&#x43D;&#x435;&#x434;&#x440;&#x435;&#x43D;&#x438;&#x44F; &#x442;&#x435;&#x445;&#x43D;&#x43E;&#x43B;&#x43E;&#x433;&#x438;&#x438;, &#x441;&#x442;&#x440;&#x443;&#x43A;&#x442;&#x443;&#x440;&#x430; &#x437;&#x430;&#x43F;&#x438;&#x441;&#x438; &#x446;&#x438;&#x444;&#x440;&#x43E;&#x432;&#x43E;&#x433;&#x43E; &#x430;&#x440;&#x445;&#x438;&#x432;&#x430;, &#x442;&#x440;&#x435;&#x445;&#x443;&#x440;&#x43E;&#x432;&#x43D;&#x435;&#x432;&#x430;&#x44F; &#x441;&#x438;&#x441;&#x442;&#x435;&#x43C;&#x430; &#x43A;&#x43E;&#x43D;&#x442;&#x440;&#x43E;&#x43B;&#x44F; &#x43A;&#x430;&#x447;&#x435;&#x441;&#x442;&#x432;&#x430;, &#x441;&#x438;&#x441;&#x442;&#x435;&#x43C;&#x430; &#x43E;&#x440;&#x433;&#x430;&#x43D;&#x438;&#x437;&#x430;&#x446;&#x438;&#x43E;&#x43D;&#x43D;&#x44B;&#x445;, &#x44D;&#x43A;&#x43E;&#x43D;&#x43E;&#x43C;&#x438;&#x447;&#x435;&#x441;&#x43A;&#x438;&#x445;, &#x43A;&#x430;&#x447;&#x435;&#x441;&#x442;&#x432;&#x435;&#x43D;&#x43D;&#x44B;&#x445; &#x438; &#x443;&#x43F;&#x440;&#x430;&#x432;&#x43B;&#x435;&#x43D;&#x447;&#x435;&#x441;&#x43A;&#x438;&#x445; &#x43F;&#x43E;&#x43A;&#x430;&#x437;&#x430;&#x442;&#x435;&#x43B;&#x435;&#x439; &#x44D;&#x444;&#x444;&#x435;&#x43A;&#x442;&#x438;&#x432;&#x43D;&#x43E;&#x441;&#x442;&#x438; &#x438; &#x440;&#x430;&#x441;&#x447;&#x435;&#x442;&#x43D;&#x430;&#x44F; &#x43C;&#x43E;&#x434;&#x435;&#x43B;&#x44C; &#x44D;&#x43A;&#x43E;&#x43D;&#x43E;&#x43C;&#x438;&#x447;&#x435;&#x441;&#x43A;&#x43E;&#x433;&#x43E; &#x44D;&#x444;&#x444;&#x435;&#x43A;&#x442;&#x430;. &#x420;&#x430;&#x441;&#x441;&#x43C;&#x43E;&#x442;&#x440;&#x435;&#x43D;&#x44B; &#x440;&#x438;&#x441;&#x43A;&#x438;: &#x43C;&#x435;&#x442;&#x440;&#x438;&#x447;&#x435;&#x441;&#x43A;&#x430;&#x44F; &#x43D;&#x435;&#x434;&#x43E;&#x441;&#x442;&#x43E;&#x432;&#x435;&#x440;&#x43D;&#x43E;&#x441;&#x442;&#x44C; &#x43C;&#x43E;&#x434;&#x435;&#x43B;&#x435;&#x439; &#x43F;&#x440;&#x43E;&#x442;&#x44F;&#x436;&#x435;&#x43D;&#x43D;&#x44B;&#x445; &#x43E;&#x431;&#x44A;&#x435;&#x43A;&#x442;&#x43E;&#x432;, &#x43D;&#x435;&#x434;&#x43E;&#x441;&#x442;&#x430;&#x442;&#x43E;&#x447;&#x43D;&#x430;&#x44F; &#x43A;&#x432;&#x430;&#x43B;&#x438;&#x444;&#x438;&#x43A;&#x430;&#x446;&#x438;&#x44F; &#x441;&#x43F;&#x435;&#x446;&#x438;&#x430;&#x43B;&#x438;&#x441;&#x442;&#x43E;&#x432;, &#x443;&#x433;&#x440;&#x43E;&#x437;&#x44B; &#x438;&#x43D;&#x444;&#x43E;&#x440;&#x43C;&#x430;&#x446;&#x438;&#x43E;&#x43D;&#x43D;&#x43E;&#x439; &#x431;&#x435;&#x437;&#x43E;&#x43F;&#x430;&#x441;&#x43D;&#x43E;&#x441;&#x442;&#x438;. &#x421;&#x434;&#x435;&#x43B;&#x430;&#x43D; &#x432;&#x44B;&#x432;&#x43E;&#x434;, &#x447;&#x442;&#x43E; &#x43F;&#x440;&#x438; &#x438;&#x43D;&#x442;&#x435;&#x433;&#x440;&#x430;&#x446;&#x438;&#x438; &#x441; &#x446;&#x438;&#x444;&#x440;&#x43E;&#x432;&#x44B;&#x43C; &#x430;&#x440;&#x445;&#x438;&#x432;&#x43E;&#x43C;, &#x432;&#x43D;&#x443;&#x442;&#x440;&#x435;&#x43D;&#x43D;&#x438;&#x43C; &#x43A;&#x43E;&#x43D;&#x442;&#x440;&#x43E;&#x43B;&#x435;&#x43C; &#x43A;&#x430;&#x447;&#x435;&#x441;&#x442;&#x432;&#x430; &#x438; &#x43F;&#x43E;&#x434;&#x433;&#x43E;&#x442;&#x43E;&#x432;&#x43A;&#x43E;&#x439; &#x43F;&#x435;&#x440;&#x441;&#x43E;&#x43D;&#x430;&#x43B;&#x430; &#x444;&#x43E;&#x442;&#x43E;&#x433;&#x440;&#x430;&#x43C;&#x43C;&#x435;&#x442;&#x440;&#x438;&#x44F; &#x43F;&#x43E;&#x432;&#x44B;&#x448;&#x430;&#x435;&#x442; &#x43F;&#x43E;&#x43B;&#x43D;&#x43E;&#x442;&#x443; &#x444;&#x438;&#x43A;&#x441;&#x430;&#x446;&#x438;&#x438; &#x438; &#x432;&#x43E;&#x441;&#x43F;&#x440;&#x43E;&#x438;&#x437;&#x432;&#x43E;&#x434;&#x438;&#x43C;&#x43E;&#x441;&#x442;&#x44C; &#x438;&#x437;&#x43C;&#x435;&#x440;&#x435;&#x43D;&#x438;&#x439; &#x43F;&#x440;&#x438; &#x438;&#x441;&#x441;&#x43B;&#x435;&#x434;&#x43E;&#x432;&#x430;&#x43D;&#x438;&#x438; &#x421;&#x414;&#x41C;, &#x441;&#x43E;&#x43A;&#x440;&#x430;&#x449;&#x430;&#x435;&#x442; &#x441;&#x440;&#x43E;&#x43A;&#x438; &#x445;&#x440;&#x430;&#x43D;&#x435;&#x43D;&#x438;&#x44F; &#x43A;&#x440;&#x443;&#x43F;&#x43D;&#x43E;&#x433;&#x430;&#x431;&#x430;&#x440;&#x438;&#x442;&#x43D;&#x43E;&#x439; &#x442;&#x435;&#x445;&#x43D;&#x438;&#x43A;&#x438;, &#x447;&#x438;&#x441;&#x43B;&#x43E; &#x43F;&#x43E;&#x432;&#x442;&#x43E;&#x440;&#x43D;&#x44B;&#x445; &#x432;&#x44B;&#x435;&#x437;&#x434;&#x43E;&#x432; &#x438; &#x432;&#x44B;&#x43D;&#x443;&#x436;&#x434;&#x435;&#x43D;&#x43D;&#x44B;&#x439; &#x43F;&#x440;&#x43E;&#x441;&#x442;&#x43E;&#x439; &#x43C;&#x430;&#x448;&#x438;&#x43D;.</p>
      </abstract>
      <trans-abstract xml:lang="en">
        <p>The paper examines the use of photogrammetry in the forensic examination of incidents involving construction and road machinery: road traffic accidents involving self-propelled machines, accidents and injuries at construction sites and road work zones, and damage to and failure of steel structures. It is shown that photogrammetry should be regarded not only as a means of obtaining three-dimensional images, but also as an element of the digital infrastructure of an expert institution. The objects to be recorded that are specific to construction and road machinery (tracks of crawler and wheeled running gear, marks left by working tools, deformations of load-bearing steel structures and cabs, bearing surface parameters in the work zone) are systematized, together with the parameters determined from their 3D models. Requirements for photographing large-sized machinery are formulated: scaling by independent control distances, image acquisition scheme and overlap, combination of terrestrial and UAV imagery in a common coordinate system, and independent accuracy verification. A stepwise implementation model, a digital archive record structure, a three-level quality control system, a set of organizational, economic, qualitative and managerial performance indicators, and a model for estimating the economic effect are proposed. Risks are considered, including metric unreliability of models of extended objects, insufficient staff qualifications and information security threats. It is concluded that, when integrated with a digital archive, internal quality control and personnel training, photogrammetry increases the completeness of recording and the reproducibility of measurements in the examination of construction and road machinery and reduces the storage time of large-sized machines, the number of repeated site visits and forced machine downtime.</p>
      </trans-abstract>
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        <kwd>&#x444;&#x43E;&#x442;&#x43E;&#x433;&#x440;&#x430;&#x43C;&#x43C;&#x435;&#x442;&#x440;&#x438;&#x44F;</kwd>
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        <kwd>&#x441;&#x43B;&#x435;&#x434;&#x44B; &#x434;&#x432;&#x438;&#x436;&#x438;&#x442;&#x435;&#x43B;&#x435;&#x439;</kwd>
        <kwd>&#x43F;&#x43E;&#x432;&#x440;&#x435;&#x436;&#x434;&#x435;&#x43D;&#x438;&#x44F; &#x43C;&#x435;&#x442;&#x430;&#x43B;&#x43B;&#x43E;&#x43A;&#x43E;&#x43D;&#x441;&#x442;&#x440;&#x443;&#x43A;&#x446;&#x438;&#x439;</kwd>
        <kwd>&#x44D;&#x43A;&#x441;&#x43F;&#x435;&#x440;&#x442;&#x438;&#x437;&#x430; &#x43F;&#x440;&#x43E;&#x438;&#x441;&#x448;&#x435;&#x441;&#x442;&#x432;&#x438;&#x439;</kwd>
        <kwd>&#x446;&#x438;&#x444;&#x440;&#x43E;&#x432;&#x430;&#x44F; &#x442;&#x440;&#x430;&#x43D;&#x441;&#x444;&#x43E;&#x440;&#x43C;&#x430;&#x446;&#x438;&#x44F;</kwd>
        <kwd>&#x446;&#x438;&#x444;&#x440;&#x43E;&#x432;&#x43E;&#x439; &#x430;&#x440;&#x445;&#x438;&#x432;</kwd>
        <kwd>&#x43A;&#x43E;&#x43D;&#x442;&#x440;&#x43E;&#x43B;&#x44C; &#x43A;&#x430;&#x447;&#x435;&#x441;&#x442;&#x432;&#x430;</kwd>
      </kwd-group>
      <kwd-group xml:lang="en">
        <kwd>construction and road machinery</kwd>
        <kwd>photogrammetry</kwd>
        <kwd>3D modeling</kwd>
        <kwd>running gear tracks</kwd>
        <kwd>steel structure damage</kwd>
        <kwd>incident examination</kwd>
        <kwd>digital transformation</kwd>
        <kwd>digital archive</kwd>
        <kwd>quality control</kwd>
      </kwd-group>
      <funding-group>
        <funding-statement xml:lang="ru">&#x410;&#x432;&#x442;&#x43E;&#x440;&#x44B; &#x43D;&#x435; &#x437;&#x430;&#x44F;&#x432;&#x438;&#x43B;&#x438; &#x43E; &#x432;&#x43D;&#x435;&#x448;&#x43D;&#x435;&#x43C; &#x444;&#x438;&#x43D;&#x430;&#x43D;&#x441;&#x438;&#x440;&#x43E;&#x432;&#x430;&#x43D;&#x438;&#x438; &#x438;&#x441;&#x441;&#x43B;&#x435;&#x434;&#x43E;&#x432;&#x430;&#x43D;&#x438;&#x44F;.</funding-statement>
        <funding-statement xml:lang="en">The authors did not declare any external funding for this research.</funding-statement>
      </funding-group>
      <counts>
        <page-count count="11"/>
      </counts>
      <custom-meta-group>
        <custom-meta>
          <meta-name>metadata-license</meta-name>
          <meta-value>
            <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0</ext-link>
          </meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
  <back>
    <ref-list xml:lang="ru">
      <title>&#x421;&#x43F;&#x438;&#x441;&#x43E;&#x43A; &#x43B;&#x438;&#x442;&#x435;&#x440;&#x430;&#x442;&#x443;&#x440;&#x44B;</title>
      <ref id="R1">
        <mixed-citation>&#x410;&#x431;&#x440;&#x430;&#x43C;&#x43E;&#x432; &#x412;.&#x410;., &#x41F;&#x43E;&#x43F;&#x43E;&#x432; &#x410;.&#x418;. &#x41F;&#x440;&#x438;&#x43C;&#x435;&#x43D;&#x435;&#x43D;&#x438;&#x435; 3D-&#x441;&#x43A;&#x430;&#x43D;&#x435;&#x440;&#x430; Calibri Mini &#x434;&#x43B;&#x44F; &#x444;&#x438;&#x43A;&#x441;&#x430;&#x446;&#x438;&#x438; &#x43E;&#x431;&#x44A;&#x435;&#x43C;&#x43D;&#x44B;&#x445; &#x441;&#x43B;&#x435;&#x434;&#x43E;&#x432; &#x43E;&#x431;&#x443;&#x432;&#x438; &#x438; &#x448;&#x438;&#x43D; &#x442;&#x440;&#x430;&#x43D;&#x441;&#x43F;&#x43E;&#x440;&#x442;&#x43D;&#x44B;&#x445; &#x441;&#x440;&#x435;&#x434;&#x441;&#x442;&#x432; &#x43F;&#x440;&#x438; &#x440;&#x430;&#x437;&#x43B;&#x438;&#x447;&#x43D;&#x44B;&#x445; &#x43F;&#x43E;&#x433;&#x43E;&#x434;&#x43D;&#x44B;&#x445; &#x443;&#x441;&#x43B;&#x43E;&#x432;&#x438;&#x44F;&#x445; // &#x421;&#x443;&#x434;&#x435;&#x431;&#x43D;&#x430;&#x44F; &#x44D;&#x43A;&#x441;&#x43F;&#x435;&#x440;&#x442;&#x438;&#x437;&#x430;. 2026. &#x2116; 1(85). &#x421;. 82-91.</mixed-citation>
      </ref>
      <ref id="R2">
        <mixed-citation>&#x411;&#x435;&#x437;&#x43C;&#x435;&#x43D;&#x43E;&#x432; &#x412;.&#x41C;. &#x424;&#x43E;&#x442;&#x43E;&#x433;&#x440;&#x430;&#x43C;&#x43C;&#x435;&#x442;&#x440;&#x438;&#x44F;: &#x443;&#x447;&#x435;&#x431;&#x43D;&#x43E;&#x435; &#x43F;&#x43E;&#x441;&#x43E;&#x431;&#x438;&#x435; &#x434;&#x43B;&#x44F; &#x432;&#x443;&#x437;&#x43E;&#x432;. &#x41C;&#x43E;&#x441;&#x43A;&#x432;&#x430;: &#x414;&#x438;&#x440;&#x435;&#x43A;&#x442;-&#x41C;&#x435;&#x434;&#x438;&#x430;, 2023. 236 &#x441;.</mixed-citation>
      </ref>
      <ref id="R3">
        <mixed-citation>&#x41A;&#x430;&#x439;&#x440;&#x433;&#x430;&#x43B;&#x438;&#x435;&#x432; &#x414;.&#x412;., &#x41A;&#x43E;&#x43D;&#x434;&#x430;&#x43A;&#x43E;&#x432; &#x410;.&#x412;., &#x41A;&#x430;&#x440;&#x438;&#x43C;&#x43E;&#x432;&#x430; &#x418;.&#x410;. &#x41E;&#x441;&#x43E;&#x431;&#x435;&#x43D;&#x43D;&#x43E;&#x441;&#x442;&#x438; &#x43A;&#x43E;&#x43F;&#x438;&#x440;&#x43E;&#x432;&#x430;&#x43D;&#x438;&#x44F; &#x43E;&#x431;&#x44A;&#x435;&#x43C;&#x43D;&#x44B;&#x445; &#x441;&#x43B;&#x435;&#x434;&#x43E;&#x432; &#x43E;&#x431;&#x443;&#x432;&#x438; &#x443;&#x447;&#x430;&#x441;&#x442;&#x43D;&#x438;&#x43A;&#x43E;&#x432; &#x43F;&#x440;&#x43E;&#x438;&#x441;&#x448;&#x435;&#x441;&#x442;&#x432;&#x438;&#x44F; &#x432; &#x443;&#x441;&#x43B;&#x43E;&#x432;&#x438;&#x44F;&#x445; &#x437;&#x438;&#x43C;&#x43D;&#x438;&#x445; &#x442;&#x435;&#x43C;&#x43F;&#x435;&#x440;&#x430;&#x442;&#x443;&#x440; // &#x41A;&#x440;&#x438;&#x43C;&#x438;&#x43D;&#x430;&#x43B;&#x438;&#x441;&#x442;&#x438;&#x43A;&#x430; &#x438; &#x441;&#x443;&#x434;&#x435;&#x431;&#x43D;&#x43E;-&#x44D;&#x43A;&#x441;&#x43F;&#x435;&#x440;&#x442;&#x43D;&#x430;&#x44F; &#x434;&#x435;&#x44F;&#x442;&#x435;&#x43B;&#x44C;&#x43D;&#x43E;&#x441;&#x442;&#x44C; &#x432; &#x443;&#x441;&#x43B;&#x43E;&#x432;&#x438;&#x44F;&#x445; &#x441;&#x43E;&#x432;&#x440;&#x435;&#x43C;&#x435;&#x43D;&#x43D;&#x43E;&#x441;&#x442;&#x438;: &#x43C;&#x430;&#x442;&#x435;&#x440;&#x438;&#x430;&#x43B;&#x44B; &#x41C;&#x435;&#x436;&#x434;&#x443;&#x43D;&#x430;&#x440;&#x43E;&#x434;&#x43D;&#x43E;&#x439; &#x43D;&#x430;&#x443;&#x447;&#x43D;&#x43E;-&#x43F;&#x440;&#x430;&#x43A;&#x442;&#x438;&#x447;&#x435;&#x441;&#x43A;&#x43E;&#x439; &#x43A;&#x43E;&#x43D;&#x444;&#x435;&#x440;&#x435;&#x43D;&#x446;&#x438;&#x438; (&#x41A;&#x440;&#x430;&#x441;&#x43D;&#x43E;&#x434;&#x430;&#x440;, 26 &#x430;&#x43F;&#x440;&#x435;&#x43B;&#x44F; 2013 &#x433;.). &#x412; 2 &#x442;. &#x422;. II. &#x41A;&#x440;&#x430;&#x441;&#x43D;&#x43E;&#x434;&#x430;&#x440;: &#x41A;&#x440;&#x430;&#x441;&#x43D;&#x43E;&#x434;&#x430;&#x440;&#x441;&#x43A;&#x438;&#x439; &#x443;&#x43D;&#x438;&#x432;&#x435;&#x440;&#x441;&#x438;&#x442;&#x435;&#x442; &#x41C;&#x412;&#x414; &#x420;&#x43E;&#x441;&#x441;&#x438;&#x438;, 2013. &#x421;. 116-120.</mixed-citation>
      </ref>
      <ref id="R4">
        <mixed-citation>&#x41C;&#x438;&#x43D;&#x43E;&#x432; &#x410;., &#x41A;&#x438;&#x440;&#x44E;&#x448;&#x438;&#x43D; &#x421;., &#x411;&#x43E;&#x440;&#x438;&#x441;&#x43E;&#x432; &#x415;. &#x426;&#x438;&#x444;&#x440;&#x43E;&#x432;&#x438;&#x437;&#x430;&#x446;&#x438;&#x44F; &#x438; &#x446;&#x438;&#x444;&#x440;&#x43E;&#x432;&#x430;&#x44F; &#x442;&#x440;&#x430;&#x43D;&#x441;&#x444;&#x43E;&#x440;&#x43C;&#x430;&#x446;&#x438;&#x44F;. &#x41F;&#x440;&#x435;&#x434;&#x43F;&#x43E;&#x441;&#x44B;&#x43B;&#x43A;&#x438; &#x446;&#x438;&#x444;&#x440;&#x43E;&#x432;&#x43E;&#x439; &#x442;&#x440;&#x430;&#x43D;&#x441;&#x444;&#x43E;&#x440;&#x43C;&#x430;&#x446;&#x438;&#x438; &#x43A;&#x43E;&#x43C;&#x43F;&#x430;&#x43D;&#x438;&#x439; // &#x41A;&#x43B;&#x443;&#x431; &#x442;&#x43E;&#x43F;-&#x43C;&#x435;&#x43D;&#x435;&#x434;&#x436;&#x435;&#x440;&#x43E;&#x432; 4CIO. [&#x411;. &#x433;.]. 15 &#x441;. https://4cio.ru/content/%D0%A6%D0%B8%D1%84%D1%80%D0%BE%D0%B2%D0%B8%D0%B7%D0%B0 %D1%86%D0%B8%D1%8F%20%D0%B8%20%D1%86%D0%B8%D1%84%D1%80%D0%BE%D0%B2%D0 %B0%D1%8F%20%D1%82%D1%80%D0%B0%D0%BD%D1%81%D1%84%D0%BE%D1%80%D0%BC%D0 %B0%D1%86%D0%B8%D1%8F%20-%203_os.pdf</mixed-citation>
      </ref>
      <ref id="R5">
        <mixed-citation>&#x41C;&#x438;&#x445;&#x430;&#x439;&#x43B;&#x43E;&#x432;&#x430; &#x41C;.&#x412;., &#x410;&#x445;&#x43C;&#x435;&#x434;&#x43E;&#x432; &#x410;.&#x41D;., &#x428;&#x430;&#x433;&#x438;&#x431;&#x430;&#x43B;&#x43E;&#x432; &#x420;.&#x420;. &#x424;&#x43E;&#x442;&#x43E;&#x433;&#x440;&#x430;&#x43C;&#x43C;&#x435;&#x442;&#x440;&#x438;&#x44F;. &#x41E;&#x441;&#x43D;&#x43E;&#x432;&#x43D;&#x44B;&#x435; &#x43F;&#x440;&#x438;&#x43D;&#x446;&#x438;&#x43F;&#x44B; &#x438; &#x43F;&#x440;&#x430;&#x43A;&#x442;&#x438;&#x447;&#x435;&#x441;&#x43A;&#x43E;&#x435; &#x43F;&#x440;&#x438;&#x43C;&#x435;&#x43D;&#x435;&#x43D;&#x438;&#x435; // &#x421;&#x43E;&#x432;&#x440;&#x435;&#x43C;&#x435;&#x43D;&#x43D;&#x430;&#x44F; &#x43D;&#x430;&#x443;&#x43A;&#x430;: &#x430;&#x43A;&#x442;&#x443;&#x430;&#x43B;&#x44C;&#x43D;&#x44B;&#x435; &#x43F;&#x440;&#x43E;&#x431;&#x43B;&#x435;&#x43C;&#x44B; &#x442;&#x435;&#x43E;&#x440;&#x438;&#x438; &#x438; &#x43F;&#x440;&#x430;&#x43A;&#x442;&#x438;&#x43A;&#x438;. &#x421;&#x435;&#x440;&#x438;&#x44F;: &#x415;&#x441;&#x442;&#x435;&#x441;&#x442;&#x432;&#x435;&#x43D;&#x43D;&#x44B;&#x435; &#x438; &#x442;&#x435;&#x445;&#x43D;&#x438;&#x447;&#x435;&#x441;&#x43A;&#x438;&#x435; &#x43D;&#x430;&#x443;&#x43A;&#x438;. 2018. &#x2116; 5. &#x421;. 24-30.</mixed-citation>
      </ref>
      <ref id="R6">
        <mixed-citation>&#x41F;&#x43E;&#x43F;&#x43E;&#x432; &#x410;.&#x418;. &#x412;&#x43E;&#x437;&#x43C;&#x43E;&#x436;&#x43D;&#x43E;&#x441;&#x442;&#x438; &#x43F;&#x440;&#x438;&#x43C;&#x435;&#x43D;&#x435;&#x43D;&#x438;&#x44F; 3D-&#x442;&#x435;&#x445;&#x43D;&#x43E;&#x43B;&#x43E;&#x433;&#x438;&#x439; &#x432; &#x446;&#x435;&#x43B;&#x44F;&#x445; &#x444;&#x438;&#x43A;&#x441;&#x430;&#x446;&#x438;&#x438; &#x43E;&#x431;&#x44A;&#x435;&#x43C;&#x43D;&#x44B;&#x445; &#x441;&#x43B;&#x435;&#x434;&#x43E;&#x432; &#x448;&#x438;&#x43D; &#x442;&#x440;&#x430;&#x43D;&#x441;&#x43F;&#x43E;&#x440;&#x442;&#x43D;&#x44B;&#x445; &#x441;&#x440;&#x435;&#x434;&#x441;&#x442;&#x432; // &#x421;&#x443;&#x434;&#x435;&#x431;&#x43D;&#x430;&#x44F; &#x44D;&#x43A;&#x441;&#x43F;&#x435;&#x440;&#x442;&#x438;&#x437;&#x430;. 2024. &#x2116; 4(80). &#x421;. 94-104.</mixed-citation>
      </ref>
      <ref id="R7">
        <mixed-citation>&#x427;&#x435;&#x440;&#x43D;&#x438;&#x433;&#x43E;&#x432;&#x441;&#x43A;&#x438;&#x439; &#x412;.&#x41D;. &#x412;&#x43E;&#x437;&#x43C;&#x43E;&#x436;&#x43D;&#x43E;&#x441;&#x442;&#x438; &#x43F;&#x440;&#x438;&#x43C;&#x435;&#x43D;&#x435;&#x43D;&#x438;&#x44F; &#x441;&#x43E;&#x432;&#x440;&#x435;&#x43C;&#x435;&#x43D;&#x43D;&#x44B;&#x445; &#x446;&#x438;&#x444;&#x440;&#x43E;&#x432;&#x44B;&#x445; &#x442;&#x435;&#x445;&#x43D;&#x43E;&#x43B;&#x43E;&#x433;&#x438;&#x439; 3D-&#x43C;&#x43E;&#x434;&#x435;&#x43B;&#x438;&#x440;&#x43E;&#x432;&#x430;&#x43D;&#x438;&#x44F; &#x434;&#x43B;&#x44F; &#x444;&#x438;&#x43A;&#x441;&#x430;&#x446;&#x438;&#x438; &#x438; &#x440;&#x435;&#x43A;&#x43E;&#x43D;&#x441;&#x442;&#x440;&#x443;&#x43A;&#x446;&#x438;&#x438; &#x43E;&#x431;&#x441;&#x442;&#x430;&#x43D;&#x43E;&#x432;&#x43A;&#x438; &#x43C;&#x435;&#x441;&#x442;&#x430; &#x43F;&#x440;&#x43E;&#x438;&#x441;&#x448;&#x435;&#x441;&#x442;&#x432;&#x438;&#x44F; // &#x415;&#x432;&#x440;&#x430;&#x437;&#x438;&#x439;&#x441;&#x43A;&#x438;&#x439; &#x44E;&#x440;&#x438;&#x434;&#x438;&#x447;&#x435;&#x441;&#x43A;&#x438;&#x439; &#x436;&#x443;&#x440;&#x43D;&#x430;&#x43B;. 2024. &#x2116; 7(194). &#x421;. 419-421.</mixed-citation>
      </ref>
      <ref id="R8">
        <mixed-citation>Avidan S., Shashua A. Novel view synthesis by cascading trilinear tensors // IEEE Transactions on Visualization and Computer Graphics. 1998. Vol. 4. &#x2116; 4. pp. 293-306.</mixed-citation>
      </ref>
      <ref id="R9">
        <mixed-citation>Jiang R., J&#xE1;uregui D.V., White K.R. Close-range photogrammetry applications in bridge measurement: literature review // Measurement. 2008. Vol. 41. &#x2116; 8. pp. 823-834.</mixed-citation>
      </ref>
      <ref id="R10">
        <mixed-citation>Larsen H.J., Bennett M.R. Empirical evaluation of the reliability of photogrammetry software in the recovery of three-dimensional footwear impressions // Journal of Forensic Sciences. 2020. Vol. 65. &#x2116; 5. pp. 1722-1729.</mixed-citation>
      </ref>
      <ref id="R11">
        <mixed-citation>Larsen H., Budka M., Bennett M.R. Technological innovation in the recovery and analysis of 3D forensic footwear evidence: structure from motion (SfM) photogrammetry // Science and Justice. 2021. Vol. 61. &#x2116; 4. pp. 356-368.</mixed-citation>
      </ref>
      <ref id="R12">
        <mixed-citation>Sheppard K., Cassella J.P., Fieldhouse S. A comparative study of photogrammetric methods using panoramic photography in a forensic context // Forensic Science International. 2017. Vol. 273. pp. 29-38.</mixed-citation>
      </ref>
      <ref id="R13">
        <mixed-citation>Siebert S., Teizer J. Mobile 3D mapping for surveying earthwork projects using an unmanned aerial vehicle (UAV) system // Automation in Construction. 2014. Vol. 41. pp. 1-14.</mixed-citation>
      </ref>
      <ref id="R14">
        <mixed-citation>Vennik K., Kukk P., Krebstein K., Reintam E., Keller T. Measurements and simulations of rut depth due to single and multiple passes of a military vehicle on different soil types // Soil and Tillage Research. 2019. Vol. 186. pp. 120-127.</mixed-citation>
      </ref>
      <ref id="R15">
        <mixed-citation>Villa C., Jacobsen C. The application of photogrammetry for forensic 3D recording of crime scenes, evidence and people // Essentials of Autopsy Practice. Cham: Springer, 2019. pp. 1-18.</mixed-citation>
      </ref>
      <ref id="R16">
        <mixed-citation>Ziernicki R.M. Forensic engineering investigation of workplace incidents involving machinery // Journal of the National Academy of Forensic Engineers. 2015. Vol. 32. &#x2116; 1.</mixed-citation>
      </ref>
      <ref id="R17">
        <mixed-citation>&#x17D;uraulis V., Levulyt&#x117; L., Sokolovskij E. Vehicle speed prediction from yaw marks using photogrammetry of image of traffic accident scene // Procedia Engineering. 2016. Vol. 134. pp. 89-94.</mixed-citation>
      </ref>
    </ref-list>
    <ref-list xml:lang="en">
      <title>References</title>
      <ref id="RE1">
        <mixed-citation>Abramov V.A., Popov A.I. Application of the Calibri Mini 3D Scanner for Recording Volumetric Traces of Footwear and Vehicle Tires under Various Weather Conditions // Forensic Examination. 2026. no. 1(85). pp. 82-91.</mixed-citation>
      </ref>
      <ref id="RE2">
        <mixed-citation>Bezmenov V.M. Photogrammetry: textbook for universities. Moscow: Direkt-Media, 2023. 236 p.</mixed-citation>
      </ref>
      <ref id="RE3">
        <mixed-citation>Kairgaliev D.V., Kondakov A.V., Karimova I.A. Features of Copying Volumetric Traces of Footwear of Incident Participants under Winter Temperature Conditions // Criminalistics and Forensic Expert Activity in Modern Conditions: proceedings of the International Scientific-Practical Conference (Krasnodar, 26 April 2013). In 2 vol. Vol. II. Krasnodar: Krasnodarskii universitet MVD Rossii, 2013. pp. 116-120.</mixed-citation>
      </ref>
      <ref id="RE4">
        <mixed-citation>Minov A., Kiryushin S., Borisov E. Digitalization and Digital Transformation. Prerequisites for Digital Transformation of Companies // 4CIO Top Managers Club. [n.d.]. 15 p. https://4cio.ru/content/%D0%A6%D0%B8%D1%84%D1%80%D0%BE%D0%B2%D0%B8%D0%B7%D0%B0 %D1%86%D0%B8%D1%8F%20%D0%B8%20%D1%86%D0%B8%D1%84%D1%80%D0%BE%D0%B2%D0 %B0%D1%8F%20%D1%82%D1%80%D0%B0%D0%BD%D1%81%D1%84%D0%BE%D1%80%D0%BC%D0 %B0%D1%86%D0%B8%D1%8F%20-%203_os.pdf</mixed-citation>
      </ref>
      <ref id="RE5">
        <mixed-citation>Mikhaylova M.V., Akhmedov A.N., Shagibalov R.R. Photogrammetry. Basic Principles and Practical Application // Modern Science: Actual Problems of Theory and Practice. Series: Natural and Technical Sciences. 2018. no. 5. pp. 24-30.</mixed-citation>
      </ref>
      <ref id="RE6">
        <mixed-citation>Popov A.I. Possibilities of Applying 3D Technologies for Recording Volumetric Traces of Vehicle Tires // Forensic Examination. 2024. no. 4(80). pp. 94-104.</mixed-citation>
      </ref>
      <ref id="RE7">
        <mixed-citation>Chernigovskii V.N. Possibilities of Applying Modern Digital 3D Modeling Technologies for Recording and Reconstructing the Situation at the Crime Scene // Eurasian Legal Journal. 2024. no. 7(194). pp. 419-421.</mixed-citation>
      </ref>
      <ref id="RE8">
        <mixed-citation>Avidan S., Shashua A. Novel view synthesis by cascading trilinear tensors // IEEE Transactions on Visualization and Computer Graphics. 1998. Vol. 4. no. 4. pp. 293-306.</mixed-citation>
      </ref>
      <ref id="RE9">
        <mixed-citation>Jiang R., J&#xE1;uregui D.V., White K.R. Close-range photogrammetry applications in bridge measurement: literature review // Measurement. 2008. Vol. 41. no. 8. pp. 823-834.</mixed-citation>
      </ref>
      <ref id="RE10">
        <mixed-citation>Larsen H.J., Bennett M.R. Empirical evaluation of the reliability of photogrammetry software in the recovery of three-dimensional footwear impressions // Journal of Forensic Sciences. 2020. Vol. 65. no. 5. pp. 1722-1729.</mixed-citation>
      </ref>
      <ref id="RE11">
        <mixed-citation>Larsen H., Budka M., Bennett M.R. Technological innovation in the recovery and analysis of 3D forensic footwear evidence: structure from motion (SfM) photogrammetry // Science and Justice. 2021. Vol. 61. no. 4. pp. 356-368.</mixed-citation>
      </ref>
      <ref id="RE12">
        <mixed-citation>Sheppard K., Cassella J.P., Fieldhouse S. A comparative study of photogrammetric methods using panoramic photography in a forensic context // Forensic Science International. 2017. Vol. 273. pp. 29-38.</mixed-citation>
      </ref>
      <ref id="RE13">
        <mixed-citation>Siebert S., Teizer J. Mobile 3D mapping for surveying earthwork projects using an unmanned aerial vehicle (UAV) system // Automation in Construction. 2014. Vol. 41. pp. 1-14.</mixed-citation>
      </ref>
      <ref id="RE14">
        <mixed-citation>Vennik K., Kukk P., Krebstein K., Reintam E., Keller T. Measurements and simulations of rut depth due to single and multiple passes of a military vehicle on different soil types // Soil and Tillage Research. 2019. Vol. 186. pp. 120-127.</mixed-citation>
      </ref>
      <ref id="RE15">
        <mixed-citation>Villa C., Jacobsen C. The application of photogrammetry for forensic 3D recording of crime scenes, evidence and people // Essentials of Autopsy Practice. Cham: Springer, 2019. pp. 1-18.</mixed-citation>
      </ref>
      <ref id="RE16">
        <mixed-citation>Ziernicki R.M. Forensic engineering investigation of workplace incidents involving machinery // Journal of the National Academy of Forensic Engineers. 2015. Vol. 32. no. 1.</mixed-citation>
      </ref>
      <ref id="RE17">
        <mixed-citation>&#x17D;uraulis V., Levulyt&#x117; L., Sokolovskij E. Vehicle speed prediction from yaw marks using photogrammetry of image of traffic accident scene // Procedia Engineering. 2016. Vol. 134. pp. 89-94.</mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>
