Future space missions require autonomous terrain navigation for pinpoint landing.
We test a visual–inertial navigation filter that identifies generic mapped landmarks.
The filter can efficiently predict position and scale of a landmark within the image.
We demonstrate pinpoint landing performance on a lunar-representative test bench.
We test the robustness to various parameter changes.