# YiChenCityU/Recent_SLAM_Research

Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整，暫停更新

Repository: https://github.com/YiChenCityU/Recent_SLAM_Research
Canonical: https://ross.abutalabs.com/products/recent_slam_research
License Family: other
Topics: slam, lidar-slam, vslam, semantic, mobile-robots, state-estimation, vins, reconstruction, lidar-odometry, fusion, multiple-sensors, research-paper, open-source
Last push: 2021-10-21T06:16:45+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2913, "days_push": 1777, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2742, forks 720 (observed 2026-08-28T04:07:16.551645+00:00)

## What it is
A curated, periodically updated list of recent SLAM (Simultaneous Localization and Mapping) research papers, organized by year and topic such as fusion, calibration, VIO, and math. It serves as a tracking resource for researchers following the state of the art in SLAM, with updates paused since 2021.

## Use cases
- find recent SLAM research papers
- track state of the art in visual SLAM and VIO
- discover papers on LiDAR odometry and sensor fusion
- survey SLAM calibration and multi-sensor techniques
- get a starting reading list for SLAM research

## When to choose
- you want a curated, topic-organized index of SLAM papers from 2018-2021
- you are surveying SLAM literature for research or learning

## When to avoid
- you need papers from 2022 onward, since updates stopped in 2021
- you need runnable SLAM software rather than a paper list

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: documentation
- domain: robotics, computer-vision, autonomous-vehicles, tutorials
- platform: cross-platform
- tags: slam, lidar-slam, visual-slam, state-estimation, research-papers, curated-list, vio, sensor-fusion

## Member repositories
- YiChenCityU/Recent_SLAM_Research (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:16.551645+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T08:19:06.863051+00:00, confidence not recorded.
  - readme: https://github.com/YiChenCityU/Recent_SLAM_Research (fetched 2026-08-28T04:07:16.551645+00:00, sha 16c0772cfd0f)
- Data as of 2026-08-30T08:39:29.467469+00:00.