{"adoption": {"forks": 157, "observed_at": "2026-08-28T04:03:59.385287+00:00", "stars": 1206}, "canonical_url": "https://ross.abutalabs.com/products/slam-application", "card": {"archived": false, "artifact_type": "learning-resource", "description": "LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-ICP, iG-LIO, SR-LIO application and comparison on Gazebo and real-world datasets. Installation and config files are provided. ", "domain": ["robotics", "autonomous-vehicles", "simulation", "tutorials"], "enriched": true, "function": ["simulation", "robotics", "benchmarking"], "health_score": 23, "homepage": null, "language": "C++", "license": "BSD-3-Clause", "license_family": "permissive", "maturity": "active", "member_repos": ["engcang/SLAM-application"], "name": "engcang/SLAM-application", "platform": ["cpp"], "pushed_at": "2025-01-31T19:56:04+00:00", "repo": "engcang/SLAM-application", "stars": 1206, "tags": ["slam", "lidar", "lidar-inertial-odometry", "gazebo", "ros", "comparison", "point-cloud", "linux"], "topics": ["ros", "slam", "robotics", "lidar", "lidar-inertial-odometry", "lidar-odometry", "multi-lidar-inertial-odometry"], "urls": [], "use_cases": ["compare lidar slam algorithms before choosing one", "install and configure fast-lio2 or lio-sam on ros", "evaluate lidar inertial odometry on gazebo datasets", "find which slam method works in narrow tunnels or stairs", "set up multi-lidar odometry like fast-lio-multi", "learn slam algorithm differences with demo videos"], "what_it_is": "A curated collection of installation guides, configuration files, and comparison results for many open-source LiDAR(-inertial) SLAM and odometry algorithms, tested on Gazebo simulation and real-world datasets. It bundles 20+ algorithms such as FAST-LIO2, LIO-SAM, and KISS-ICP with demo videos comparing their performance.", "when_to_avoid": ["you need a production-ready SLAM library itself - this is a comparison and setup guide, not an algorithm implementation", "you work with visual-only or 2D SLAM", "you need a non-ROS or Windows environment"], "when_to_choose": ["you want to benchmark or compare existing SLAM/odometry algorithms side by side", "you need ready-made install and config files for many LiDAR SLAM packages", "you are evaluating which odometry approach fits your sensor setup (single/multi LiDAR, with/without IMU)"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/slam-application", "repo": "engcang/SLAM-application", "role": "main", "score": 34}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.385287+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T06:19:17.575058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "70ea024c6ba53aaaf06e93c387da4e1745107434a39cf950ece3c40aa2af0c78", "fetched_at": "2026-08-28T04:03:59.385287+00:00", "kind": "readme", "missing": false, "url": "https://github.com/engcang/SLAM-application"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.385287+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T06:19:17.575058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "70ea024c6ba53aaaf06e93c387da4e1745107434a39cf950ece3c40aa2af0c78", "fetched_at": "2026-08-28T04:03:59.385287+00:00", "kind": "readme", "missing": false, "url": "https://github.com/engcang/SLAM-application"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T06:19:17.575058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "70ea024c6ba53aaaf06e93c387da4e1745107434a39cf950ece3c40aa2af0c78", "fetched_at": "2026-08-28T04:03:59.385287+00:00", "kind": "readme", "missing": false, "url": "https://github.com/engcang/SLAM-application"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.385287+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.385287+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.385287+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T06:19:17.575058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "70ea024c6ba53aaaf06e93c387da4e1745107434a39cf950ece3c40aa2af0c78", "fetched_at": "2026-08-28T04:03:59.385287+00:00", "kind": "readme", "missing": false, "url": "https://github.com/engcang/SLAM-application"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.385287+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.385287+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T06:19:17.575058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "70ea024c6ba53aaaf06e93c387da4e1745107434a39cf950ece3c40aa2af0c78", "fetched_at": "2026-08-28T04:03:59.385287+00:00", "kind": "readme", "missing": false, "url": "https://github.com/engcang/SLAM-application"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.385287+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.385287+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.385287+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T06:19:17.575058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "70ea024c6ba53aaaf06e93c387da4e1745107434a39cf950ece3c40aa2af0c78", "fetched_at": "2026-08-28T04:03:59.385287+00:00", "kind": "readme", "missing": false, "url": "https://github.com/engcang/SLAM-application"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.385287+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.385287+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T06:19:17.575058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "70ea024c6ba53aaaf06e93c387da4e1745107434a39cf950ece3c40aa2af0c78", "fetched_at": "2026-08-28T04:03:59.385287+00:00", "kind": "readme", "missing": false, "url": "https://github.com/engcang/SLAM-application"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T06:19:17.575058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "70ea024c6ba53aaaf06e93c387da4e1745107434a39cf950ece3c40aa2af0c78", "fetched_at": "2026-08-28T04:03:59.385287+00:00", "kind": "readme", "missing": false, "url": "https://github.com/engcang/SLAM-application"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T06:19:17.575058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "70ea024c6ba53aaaf06e93c387da4e1745107434a39cf950ece3c40aa2af0c78", "fetched_at": "2026-08-28T04:03:59.385287+00:00", "kind": "readme", "missing": false, "url": "https://github.com/engcang/SLAM-application"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T06:19:17.575058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "70ea024c6ba53aaaf06e93c387da4e1745107434a39cf950ece3c40aa2af0c78", "fetched_at": "2026-08-28T04:03:59.385287+00:00", "kind": "readme", "missing": false, "url": "https://github.com/engcang/SLAM-application"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 4, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1946, "days_push": 579, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 34, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}