Everything from algorithm design through to implementation targets speed. This allows for low-latency tracking at high framerates, all while minimising CPU utilisation to save power. Lower powered classes of processor can easily be used.


A unique approach to tracking and mapping provides the most accurate positional and pointcloud data and keeps drift under control. High precision tracking maintains a low amount of jitter.


The real world isn’t always as ideal as in datasets, so we make sure to test in difficult conditions such as bad lighting and fast camera motion.

And Much More

Additional information on KudanSLAM's performance can be found here.