MOLA: Modular Optimization Framework for LiDAR and Visual SLAM

LiDAR point clouds and visual-SLAM data for mobile robotics are processed via this C++17 framework developed by MOLAorg, updated through March 2026. It provides a modular system for graph-based localization and mapping.

Use Cases

• Optimizing LiDAR point cloud registration using graph-SLAM modules
• Implementing visual-SLAM for mobile robots using C++17 toolkits
• Developing custom localization backends within a modular framework

Strengths

• C++17 modular architecture
• Supports both LiDAR and visual-SLAM modalities
• Graph-SLAM optimization capabilities

Limitations

• Primary content is a software toolkit rather than a static dataset
• Requires C++17 environment for implementation
• No pre-labeled benchmark data specified in the metadata

Provenance

Source

MOLAorg GitHub repository

Collection Method

Software development and algorithmic implementation

Freshness

Updated as of March 2026.