Authors:Tejs Scharling Pages: 6 - 6 Abstract: The city space is increasingly used for sports events. The city's geographical structure offers exciting opportunities, but also communication challenges. Limited visibility necessitates digital communication - precisely and in real time. The runners move freely between posts, bounded only by the geography of the city; houses, walls and fences. GPS measurements are disturbed by buildings and, if transmitted raw, it can give a misleading impression of the runner's actual route; across buildings and through walls. By combining geodata about the city with the progress of the route in a particle filter, the quality is significantly improved in real time. The runner sticks to obvious routes and possible areas. The particle filter is a flexible statistical machine learning technique that can also be used for e.g. drones and self-driving robots in urban space. PubDate: 2022-12-13 DOI: 10.54337/ojs.perspektiv.v20i39.6977 Issue No:Vol. 20, No. 39 (2022)
Authors:Tobias Hagedorn-Rasmussen Pages: 7 - 7 Abstract: The Agency for Data Supply and Efficiency (SDFE) is contributing to creating the foundation for a future digitization in Greenland on the geodata field, through a mapping project using satellite photos. But how can we make sure that this doesn't just become a technical excersise, but a project that at the same time can involve the citizens, have a benefit to the society in general as well as serving the purpose for the greenlandic map and geodata users' PubDate: 2022-12-13 DOI: 10.54337/ojs.perspektiv.v20i39.6987 Issue No:Vol. 20, No. 39 (2022)
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