Mapping is the one that has been studied most thoroughly. And the concept of mapping is simple – if we possess both the map and a set of coordinates, we can create a route.Positioning is slightly trickier. Currently, there’s no standardized and easily implementable way to find the exact coordinates of a user who is indoors.Rendering, in turn, is dependent upon the accuracy from which Positioning can be determined. It’s easy to render a route in 3D, in the abstract. But it’s more challenging to make sure that the virtual is matching up with the real world, accounting for obstacles and objects like doors, walls and any furniture or other large items.Rendering will continue to improve as ARKit continues to evolve. And we’re also able to alter the design of AR content to our specifications.At present, AR indoor navigation faces the following challenges:First, we must grapple with the challenge of finding the user’s precise location within a building, including their floor within a multi-story building.It turns out that we require a minimum accuracy in AR function that equals around 10 percent of the distance between various points of the destination.We avoid using bitmap images, instead storing each map as a vector image. This facilitates high performance, with the ability to zoom in while requiring a minimum of transmitted data. When designing our maps, we avoid the AR Ruler function, as its bias renders it less accurate. Instead, we use more traditional measurement tools to maximize the accuracy of all our maps.Yet another challenge we face when designing an AR solution is rendering the final pin destination so that it remains constant in size regardless of distance. It’s necessary that it be the same size so that users can easily read labels and handle touches. Normally, perspective means that objects further from the camera appear to be smaller as the distance increases.But we overcame it and created our app perfectly.