Daniel Radke

Daniel Radke

About

4
Publications
936
Reads
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3
Citations
Citations since 2017
4 Research Items
3 Citations
20172018201920202021202220230.00.51.01.52.02.53.0
20172018201920202021202220230.00.51.01.52.02.53.0
20172018201920202021202220230.00.51.01.52.02.53.0
20172018201920202021202220230.00.51.01.52.02.53.0
Introduction
Skills and Expertise
Education
October 2017 - February 2022
Universität des Saarlandes
Field of study
  • Computer Science

Publications

Publications (4)
Conference Paper
Full-text available
The implementation of a puck and player tracking (PPT) system in the National Hockey League (NHL) provides significant opportunities to utilize high-resolution spatial and temporal data for advanced hockey analytics. In this paper, we develop a technique to classify pass types in the tracking data as either Direct, 1-bank, or Rim passes. We also ad...
Article
This study describes an approach to evaluate the off-ball behaviour of attacking players in association football. The aim was to implement a defensive pressure model to examine an offensive player's ability to create separation from a defender using 1411 high-intensity off-ball actions including 988 Deep Runs (DRs) DRs and 423 Change of Directions...
Conference Paper
Full-text available
Advancements in player tracking technology and analytics have revolutionized how professional sports are managed, played, and even consumed. However, these tracking systems have mainly failed to translate to ice rinks, leaving ice hockey to collect relatively coarse and offensively-biased data for player statistics. As a result, current artificial...
Article
Full-text available
Measuring and monitoring the height of vegetation provides important insights into forest age and habitat quality. These are essential for the accuracy of applications that are highly reliant on up-to-date and accurate vegetation data. Current vegetation sensing practices involve ground survey, photogrammetry, synthetic aperture radar (SAR), and ai...

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