An evaluation of real-time RGB-D visual odometry algorithms on mobile devices

We present an evaluation and a comparison of different visual odometry algorithms selected to be tested on a mobile device equipped with a RGB-D camera. The most promising algorithms from the literature are tested on different mobile devices, some equipped with the Structure Sensor. We evaluate the accuracy of each selected algorithm as well as the memory and CPU consumption, and we show that even without specific optimization, some of them can provide a reliable measure of the device motion in real time.