Guide

RTK vs vision vs LiDAR navigation explained

Wire-free robot mowers find their way using satellite positioning (RTK), cameras, LiDAR, or a mix. RTK is precise on open lawns but weak under trees and beside tall buildings; cameras need light and a visible lawn edge; LiDAR measures fixed features and works in the dark but needs something to measure against. Hybrids combine them. Here's how each works and which suits your garden.

The short answer

  • RTK uses satellites plus correction data to pinpoint the mower to within a few centimetres. It's excellent on open lawns and big areas, but loses accuracy under trees and close to tall buildings.
  • Vision uses cameras to recognise grass, edges and obstacles. It needs no satellites or base station, but needs reasonable light and a clear visual boundary.
  • LiDAR uses a spinning or solid-state laser scanner to measure distances to walls, fences, trees and other fixed features, building a map it can locate itself in. It works in poor light and under trees, but needs things to measure against.
  • Hybrids combine two or three of these so one covers the others' weak spots. Most premium wire-free mowers are now hybrids.
Four panels comparing robot mower navigation: a perimeter wire buried around the lawn edge; an RTK base station sending corrections to the mower alongside satellite signals; network RTK receiving corrections over 4G with no base station; and camera vision and LiDAR sensing the lawn edge and obstacles directly.
How robot mowers find the edge of the lawn: perimeter wire, RTK (own base station), network RTK and vision/LiDAR.

RTK: satellites with corrections

Every satellite-guided mower starts with GNSS, the general name for GPS and the other satellite systems. On its own, GNSS is accurate to a few metres: fine for finding a street, useless for keeping a mower off your flowerbed.

RTK (real-time kinematic) fixes that. A reference receiver at a known, fixed position watches the same satellites, works out the errors in the signals and sends corrections to the mower, which can then position itself to within a few centimetres. The corrections come from one of two places:

Where RTK struggles

RTK needs a clear view of a good slice of sky. Anything that blocks or reflects satellite signals degrades it:

Illustration of satellites above a garden: open lawn areas have a clear view of the sky, while areas under trees and beside a tall house have blocked or reflected signals, marked as weak RTK zones.
Why RTK struggles under trees and next to tall buildings: the mower needs a clear view of the sky.
  • Trees, especially large deciduous trees in full leaf and dense evergreens.
  • Tall buildings and walls close to the lawn, which block part of the sky and can bounce signals, confusing the receiver.
  • Narrow side passages between houses, common in UK terraces and semis.

When accuracy drops, a satellite-only mower may slow down, stop, or refuse to mow that area. Positioning the base station with a clear view of the sky, usually as high as practical, helps; so does choosing a hybrid.

RTK suits: open lawns, large gardens and paddocks, lawns with few trees, and gardens where you want precise straight-line mowing.

Vision: cameras that see the lawn

Camera-guided mowers use one or more cameras and image-recognition software to tell grass from everything else: paths, beds, walls, toys, pets. Some drive the edge in a mapping run; others simply stay on what they recognise as lawn. Examples include the eufy E15, which eufy says uses stereo cameras, and the Bosch VISIMOW18V.

Strengths: no wire, no base station and no signal needed, so setup is simple. Cameras also double as obstacle detection, and some models are trained to recognise specific objects.

Weak spots:

  • Light. Cameras need reasonable daylight. Dusk, deep shade and harsh low sun with long shadows can all cause trouble, and many vision mowers stop in the dark.
  • Unclear edges. A lawn that fades into a mossy gravel path, a wildflower strip or a bed of low ground cover gives the camera less to go on. A crisp edge helps.
  • Dirty lenses. Grass, mud and rain on the camera reduce performance, so they need occasional wiping.

Vision suits: small and medium gardens with clear lawn edges, including tree-heavy and walled gardens where RTK struggles.

Current camera-guided (vision) robot mowers (live prices)
ModelPrice fromMax lawnNavigationMax slopeScore
LawnMaster OcuMow 16£229.99300 m²Vision (camera)35%5.9
Bosch VISIMOW18V£299.98200 m²Vision (camera)35%5.7
LawnMaster OcuMow AMB16£379.99600 m²Vision (camera)35%6.8
LawnMaster OcuMow 18£499.99800 m²Vision (camera)35%6.9
Einhell FREELEXO CAM£579.95500 m²Vision (camera)25%6.4
TerraMow Mini 500£656Out of stock500 m²Vision (camera)32.5%6.7

LiDAR: measuring the garden with lasers

LiDAR sends out laser pulses and times their reflections to measure the distance to everything around it, building a 3D picture of the garden. The mower recognises where it is by matching what it sees now with its stored map of fixed features: the house, fences, sheds, tree trunks. Examples include the Dreame A1 Pro and the Ecovacs GOAT O1200 LiDAR PRO.

Strengths: works under trees and next to buildings, exactly where RTK is weakest; doesn't need daylight; no base station or signal; also good at spotting obstacles.

Weak spots:

  • Open spaces with nothing to measure. In a big, open lawn far from walls or trees, a LiDAR mower has few landmarks. Manufacturers quote a maximum range, and features beyond it don't help.
  • Changing surroundings. Parked cars, garden furniture and hedges that grow or are cut back change the view. Good software copes with this, but big changes may need re-mapping.
  • Price and weight. LiDAR hardware adds cost, though LiDAR models are now available at mid-range prices.

LiDAR suits: typical suburban gardens bounded by fences, walls and buildings, including those with trees and tall neighbouring houses.

Current LiDAR robot mowers (live prices)
ModelPrice fromMax lawnNavigationMax slopeScore
Dreame A1 Pro£6992,000 m²LiDAR45%8.1
Ecovacs GOAT O1200 LiDAR PRO£9491,200 m²LiDAR45%7.9
Segway Navimow i2 LiDAR£9992,000 m²LiDAR45%8.2

Hybrids: combining methods

Because each method fails in different places, many mowers now combine them. Two broad patterns:

  • RTK plus cameras. The cameras handle obstacle avoidance and help the mower keep going when the satellite fix is weak. Kress, Worx, Husqvarna's newer camera-equipped Automowers and several Navimow models use this approach.
  • RTK plus LiDAR plus cameras. The most complete setup. The Mammotion LUBA 3 AWD 3000 and 5000 combine network RTK with LiDAR and cameras, for example.

Hybrids are the safest choice for mixed gardens, open in some places and shaded in others. They cost more, and the software doing the combining matters as much as the hardware. Watch for models where different sizes use different navigation: Mammotion's LUBA 3 AWD 1500 has no network RTK, unlike the larger versions.

Obstacle detection is a separate question

Don't confuse navigation (knowing where the mower is) with obstacle avoidance (not hitting things). A mower can navigate by RTK and still use a camera to spot a hedgehog or a toy. Or it may rely only on its bump sensor. Check what each model uses: our model pages list the obstacle-avoidance technology the manufacturer states. No system catches everything, so clear the lawn and mow in daylight. See robot mowers and hedgehogs.

Which suits your garden?

  • Open lawn, low fences, few trees: RTK or network RTK works well and gives precise lines.
  • Walled or fenced suburban garden with tall houses close by: LiDAR, vision or a hybrid.
  • Lots of mature trees over the lawn: LiDAR, vision or a hybrid, or consider a wired mower.
  • Large rural plot with patchy mobile signal: RTK with its own base station, a hybrid, or wire.
  • Lawn edges that blend into gravel or planting: avoid vision-only unless you're happy to sharpen the edges; RTK or LiDAR handle this better.
  • Several separate lawns: most wire-free types handle this; see complex gardens.

If you're still weighing wire against wire-free, read perimeter wire vs wire-free. For recommendations, try the mower finder or browse all wire-free models.

Frequently asked questions

Which navigation type is most accurate?

On an open lawn with a clear sky, RTK is the most precise, typically to within a few centimetres. Near trees and buildings its accuracy can drop, and LiDAR or vision may do better there. That's why many premium mowers combine RTK with cameras or LiDAR.

Do camera (vision) robot mowers work in the dark?

Mostly not. Camera navigation needs reasonable light, and many vision mowers stop at dusk. Some add infrared or other sensors for low light. Daytime mowing is better for hedgehogs anyway.

Does LiDAR work at night?

Yes. LiDAR measures distances with its own laser light, so it doesn't depend on daylight. That doesn't make night mowing a good idea in UK gardens, because of hedgehogs and other wildlife.

Do I need an RTK base station?

Only for RTK mowers that don't use network RTK. Some mowers come with a base station that you mount in the garden; network RTK models get corrections over 4G or Wi-Fi instead. Camera and LiDAR mowers don't use one at all.

Is GPS alone good enough for a robot mower?

No. Ordinary satellite positioning, like a phone's, is only accurate to a few metres. RTK corrections are what bring it down to centimetres, which is needed to follow a lawn edge.

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