Supervisor
Assoc Prof Dr Hermann Klug (hermann.klug@plus.ac.at)
Short description
Cross country mountainbike races follow specific tracks in the landscape. In advance to the race, an inspection on the bike is taking place. Often, a tracking device (e.g. Garmin Edge 830) and a GoPro Hero camera mounted to the handlebar, the rider's chest or the helmet is used to track the ride for further analysis. The student uses GI Science toolsets and provides an online interface, where the riding track from e.g. a Garmin device (FIT or GPX File) and the video can be uploaded. The objective is to visualise the overall racetrack and the rider's position on a map besides a video displaying the surrounding of the position. A time slider enables the movement of the position of the athlete on the track and moves the video forward accordingly. As an advancement, a 3D camera would open the opportunity for looking forward, backward, and sideward.
Data: Parallel recording position with a Garmin Edge bike computer and a video with a GoPro Hero 9 cam mounted on the handlebar of a bike.
Hypothesis: Video and tracking will start at the same time and thus can be matched in a geospatial web service environment!
Research question: Which procedures enable an automated visualisation of rider position and video view in a web service?
Objective: Uploading an mp4 and a FIT file to a web service enabling the visualisation of the racetrack and rider's position on a map and in parallel viewing the video at the riders position.
References & datasets
As a case study area, the students could use the racetrack used for national competitions in Koppl. Three GoPro cameras, mounting equipment for the handlebar, the chest and/or the helmet as well as a tracking device (Garmin Edge 820/830) will be provided.
Prerequisites/qualification
Interest in biking and solid skills in multimedia, programming and working with *.fit, *.gpx and *.mp4 files.
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