I share the confusion. It depends on the measuring intent I guess, and it'd have been nice to say something about that and include some kind of indicator for th

I share the confusion. It depends on the measuring intent I guess, and it'd have been nice to say something about that and include some kind of indicator for these outliers. Here's the thing in Google Maps: https://www.google.com/maps/@47.1745904,7.2745602,14z/data=!5m1!1e1?entry=ttu&g_ep=EgoyMDI1MDkyNC4wIKXMDSoASAFQAw%3D%3D https://www.google.com/maps/@47.1745904,7.2745602,14z/data=!... From looking at the company website[0] I'd assume the goal could've been to get a better estimate about the total distance travelled during tracking analysis? Keeping that goal in mind, the error from the outliers was reduced significantly without causing too much disturbance on the accurate data. Nonetheless, including further measurements from speedo- and odometer in the sensor fusion at certain intervals would make this goal redundant and provide an even better estimate. [0]: https://traconiq.ch/ https://traconiq.ch/