Repo brief: raulmur/ORB_SLAM2

Generated by RepoPilot · document generated 2026-09-14 · concise human review Evidence snapshot · analyzed 2026-09-14T00:23:02.794Z · commit f2e6f51cdc8d

Verdict

Concerns — Looks unmaintained — solo project with stale commits

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests

What it is

ORB-SLAM2 is a real-time SLAM (Simultaneous Localization and Mapping) library that computes camera trajectories and sparse 3D reconstructions from monocular, stereo, or RGB-D camera feeds. It uniquely handles loop detection and camera relocalization in real-time, enabling applications like autonomous navigation and AR to recover from tracking loss and close loops in previously mapped areas. Monolithic C++ library with Examples/ as entry points: Examples/Monocular/, Examples/Stereo/, and Examples/RGB-D/ contain dataset-specific runners (mono_euroc.cc, mono_kitti.cc, rgbd_tum.cc), Examples/ROS/ wraps it for ROS subscribers, and configuration lives in .yaml files (EuRoC.yaml, KITTI*.yaml,…

Start here

Open these first:

• CMakeLists.txt — Root build configuration that orchestrates compilation of core SLAM library, third-party dependencies (DBoW2, g2o), and all…
• Examples/Monocular/mono_tum.cc — Entry point for monocular SLAM on TUM dataset; demonstrates the primary API pattern for initializing and running the SLAM…
• Examples/RGB-D/rgbd_tum.cc — Entry point for RGB-D SLAM showing depth sensor integration; essential reference for understanding multi-modal pipeline.
• Examples/Stereo/stereo_kitti.cc — Stereo SLAM example on KITTI dataset; demonstrates binocular initialization and baseline-dependent scale recovery.
• Thirdparty/DBoW2/DBoW2/TemplatedVocabulary.h — Vocabulary abstraction for loop detection and relocalization; critical dependency for global place recognition.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

git clone https://github.com/raulmur/ORB_SLAM2.git
cd ORB_SLAM2
mkdir build && cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
make -j4
cd ..
# Download EuRoC/KITTI/TUM dataset and run:
./Examples/Monocular/mono_euroc ../Vocabulary/ORBvoc.txt ./Examples/Monocular/EuRoC.yaml PATH_TO_DATASET_FOLDER TIMES_FILE

Dependencies (from Dependencies.md): OpenCV 2.4.11+, Eigen 3.1.0+, g2o, DBoW2 (Bags of Binary Words).

Daily commands:

After build: ./Examples/Monocular/mono_euroc ../Vocabulary/ORBvoc.txt ./Examples/Monocular/EuRoC.yaml <dataset_path> <times_file> for monocular on EuRoC. ROS version: `rosrun ORB_SLAM2 Mono Vocabulary/ORBvoc.txt Examp…

…shortened for this brief.

Key cautions & unknowns

• Stale — last commit 2y ago
• Solo or near-solo (1 contributor active in recent commits)
• (1) ORB vocabulary file required: Examples assume Vocabulary/ORBvoc.txt exists; this must be generated or downloaded separately—not in repo. (2) Dataset-specific format: Each dataset (EuRoC, KITTI, TUM) has…
• License evidence is incomplete or ambiguous.
• Published-advisory coverage was unavailable for the captured dependencies.
• Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

• Repository source
• Open issues
• Recent pull requests

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.

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