MorphEyes: Variable Baseline Stereo For Quadrotor Navigation
This addresses depth estimation limitations for quadrotor autonomy, offering a novel application of morphable design, though it is incremental in combining existing concepts.
The paper tackles the problem of limited depth range in stereo cameras for quadrotor navigation by developing a variable baseline stereo system that adapts on-the-fly, showing improved accuracy and robustness in scenarios like flying through forests and detecting moving objects.
Morphable design and depth-based visual control are two upcoming trends leading to advancements in the field of quadrotor autonomy. Stereo-cameras have struck the perfect balance of weight and accuracy of depth estimation but suffer from the problem of depth range being limited and dictated by the baseline chosen at design time. In this paper, we present a framework for quadrotor navigation based on a stereo camera system whose baseline can be adapted on-the-fly. We present a method to calibrate the system at a small number of discrete baselines and interpolate the parameters for the entire baseline range. We present an extensive theoretical analysis of calibration and synchronization errors. We showcase three different applications of such a system for quadrotor navigation: (a) flying through a forest, (b) flying through an unknown shaped/location static/dynamic gap, and (c) accurate 3D pose detection of an independently moving object. We show that our variable baseline system is more accurate and robust in all three scenarios. To our knowledge, this is the first work that applies the concept of morphable design to achieve a variable baseline stereo vision system on a quadrotor.