# neozhaoliang/surround-view-system-introduction

A full Python implementation for real car surround view system

Repository: https://github.com/neozhaoliang/surround-view-system-introduction
Canonical: https://ross.abutalabs.com/products/surround-view-system-introduction
Language: Python
License: MIT
License Family: permissive
Last push: 2026-03-26T09:13:56+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 74, release rhythm 35, longevity 100
- inputs: {"age_days": 2395, "days_push": 160, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1321, forks 394 (observed 2026-08-28T04:04:21.862369+00:00)

## What it is
A Python implementation of a vehicle surround-view (bird's-eye view) camera system, covering fisheye camera calibration, projection, image stitching, and real-time rendering. It serves as an educational reference for building automotive 360-degree around-view monitoring systems.

## Use cases
- build a surround view system for a car
- calibrate fisheye cameras for bird's eye view
- stitch multiple camera images into a top-down view
- learn how around-view monitoring systems work
- implement real-time camera projection and stitching in Python
- prototype an AVM (around view monitor) system

## When to choose
- you want to learn or prototype a car surround-view system end to end
- you need reference code for fisheye calibration and image stitching
- you prefer a readable Python implementation over production C++ stacks

## When to avoid
- you need a production-grade, safety-certified automotive AVM system
- you require high performance real-time processing in C++ or on embedded hardware
- you need support for many camera configurations out of the box

## Facets
- artifact type: library
- maturity: active
- function: computer-vision, image-processing, simulation
- domain: computer-vision, education
- platform: python, cross-platform
- tags: surround-view, camera-calibration, bird-eye-view, fisheye, automotive, stitching

## Member repositories
- neozhaoliang/surround-view-system-introduction (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:21.862369+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 2026-08-30T04:47:18.812248+00:00, confidence not recorded.
  - readme: https://github.com/neozhaoliang/surround-view-system-introduction (fetched 2026-08-28T04:04:21.862369+00:00, sha e35761d14b85)
- Data as of 2026-08-30T08:39:29.467469+00:00.