DVO: dense visual odometry

DVO's implementation in C++ requires a strong understanding of the language, which can be challenging for those more accustomed to higher-level languages.

The open-source nature of DVO means that contributions and updates are less frequent than in more popular frameworks, potentially leading to slower issue resolution and feature development.

Dense stereo matching can become computationally expensive with higher resolution input data, causing real-time performance degradation on less powerful hardware.

The architecture of DVO is tightly coupled, making it difficult to integrate custom modules or extend functionality without significant modifications to the core codebase.