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Deephome/Awesome-LiDAR-Camera-Calibration resource

A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes observed · 2026-08-28

github.com/Deephome/Awesome-LiDAR-Camera-Calibration observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1918
  • days_rel: n/a
  • days_push: 744
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1268 stars · 160 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list collecting papers, toolboxes, and notes on LiDAR-camera extrinsic calibration. It organizes target-based and targetless calibration methods, including traditional and deep-learning approaches, for fusing 3D point clouds with camera images.

Use cases

  • find lidar camera calibration papers
  • learn how to calibrate lidar to camera extrinsics
  • compare target-based vs targetless calibration methods
  • find open-source calibration toolboxes
  • research sensor fusion for autonomous driving
  • understand 6-DoF extrinsic estimation between lidar and image

When to choose

  • you are researching or selecting a LiDAR-camera calibration method or toolbox
  • you need a survey-style starting point for sensor calibration literature

When to avoid

  • you need a ready-to-run calibration tool rather than a curated reference list
  • you need calibration for other sensor pairs like radar or IMU

Facets

learning-resource · maturity active

computer-vision documentation autonomous-vehicles robotics computer-vision awesome-lists cross-platform lidar sensor-calibration camera-calibration sensor-fusion papers awesome-list

1 source

Member repositories

RepositoryRoleHealth v2
Deephome/Awesome-LiDAR-Camera-Calibrationmain32

For agents

markdown · JSON · MCP: product_card(name="Deephome/Awesome-LiDAR-Camera-Calibration")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem