A European research team has made satellite positioning up to 50 times more accurate between tall buildings.
Cyclists in Braunschweig have already tested it in the Naviki bike navigation app but you might have to wait quite a bit longer.
How it works
Tall buildings block some satellite signals and reflect others, so your position jumps all over the place. TU Braunschweig’s Egeniouss project fixes this with a camera. The system matches what the camera sees against Google’s 3D map of buildings, then combines that with satellite and motion data.
A building is a ground station
Your watch’s GNSS chipset already uses fixed points. SBAS ground stations sit at surveyed positions, calculate satellite errors, and your watch applies the corrections.
A tall building is also a fixed point, and radar can measure the distance to it. Distances to several buildings pin your position on the road using Google’s maps when the satellite signals are flagged as unreliable.
Bike Cameras and radar already exist. The maps exist. Google has used 3D building models since 2020 to correct phone positions in more than 3,850 cities, cutting wrong-side-of-the-street errors by about 75%. Tel Aviv University researchers have matched car radar to maps, keeping errors to about a metre across the road without satellites.
Speed Sensor
Throw in distance from a wheel-based speed sensor and fuse all the sources together, and something much more accurate than we see today could be created.
What this might one day mean for city cyclists
You get turn prompts at the right junction, tracks on the right street, and segment times that count.
Power is the problem. A camera running all ride drains a battery fast: Varia RCT715 lasts four to six hours recording video, while RearVue 820 runs 30 hours on radar alone. Radar aimed up at the higher floors, above passing traffic, would use far less, and RearVue 820 shows a bike radar can see 175 metres.
Either way, riders would need an urban positioning mode, switched on by hand or automatically when the bike computer detects tall buildings. That keeps the extra drain to the city stretches of a ride, so Edge and other bike computers keep their battery life on open roads.
Quick answers
Will my Garmin get 50x more accurate GPS in cities?
Not from this project. It was tested in a phone app using the phone’s camera. A bike computer would need a camera or radar facing the buildings, and no brand has announced one.
Why is GPS so bad between tall buildings?
Buildings block some satellite signals and reflect others. A reflected signal travels further than it should, so your device places you metres out, often on the wrong side of the street.
More on GPS accuracy in sports watches and the Garmin hub.
Last Updated on 9 November 2026 by tfk the5krunner

tfk is the founder and author of the5krunner, an independent endurance sports technology publication. With 20 years of hands-on testing of GPS watches and wearables, and competing in triathlons at an international age-group level, tfk provides in-depth expert analysis of fitness technology for serious athletes and endurance sport competitors. See the gear tfk uses. ID
