ProSLAM: Graph SLAM from a Programmer's Perspective
This provides an accessible, efficient SLAM system for students and programmers, though it's incremental in focusing on implementation rather than new algorithms.
The authors developed ProSLAM, a lightweight stereo visual SLAM system designed for simplicity and modularity, achieving accuracy comparable to state-of-the-art methods while requiring substantially less computational resources.
In this paper we present ProSLAM, a lightweight stereo visual SLAM system designed with simplicity in mind. Our work stems from the experience gathered by the authors while teaching SLAM to students and aims at providing a highly modular system that can be easily implemented and understood. Rather than focusing on the well known mathematical aspects of Stereo Visual SLAM, in this work we highlight the data structures and the algorithmic aspects that one needs to tackle during the design of such a system. We implemented ProSLAM using the C++ programming language in combination with a minimal set of well known used external libraries. In addition to an open source implementation, we provide several code snippets that address the core aspects of our approach directly in this paper. The results of a thorough validation performed on standard benchmark datasets show that our approach achieves accuracy comparable to state of the art methods, while requiring substantially less computational resources.