Capturing the cycling experience in real time
By tracking races in real-time, mobile platform Racetracker gives cycling enthusiasts and athletes the opportunity to experience, distribute and fund the popular sport in completely new ways.
We are introducing a new business model to the sport. The revenue generated in Racetracker will go back to the teams, performers and race organizers, creating more inclusive revenue streams outside of sponsorships.
To know what’s going on during a cycling race, fans and riders heavily rely on the footage of expensive cameras mounted on motorbikes and helicopters, which also limits the sport’s reach to only a handful of prominent races. Using small GPS trackers, machine learning and smartphones, Racetracker aims to make this coverage more accessible, cheap and inclusive.
We built Racetracker from the ground up. We designed and developed the entire mobile platform and its identity, built a backend system for tracking all individual riders in real time, tested and tweaked the trackers under real life conditions during professional races.
- Olle Engström
Racetracker leverages machine learning to estimate the current position and speed of each rider on the track using past observed geographical coordinates. We use filter algorithms from statistics to convert the noisy and irregular stream of tracker positions into a regular stream of accurate positions. Knowing the movement state of each rider is sufficient to give us all the information we need during a race: We can compute the relative distance of all riders to infer rider groups and calculate time differences at every moment in time.
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