chaytonmin/Awesome-BEV-Perception-Multi-Cameras resource
Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD 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 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1592
- days_rel: n/a
- days_push: 859
- n_releases_24m: 0
Adoption not part of the score
1114 stars · 115 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated awesome-list of research papers on multi-camera bird's-eye-view (BEV) 3D perception, covering 3D object detection and segmentation methods like DETR3D, BEVFormer, BEVDet, and UniAD. Each entry links to the paper and its official GitHub implementation, organized by publication venue and year.
Use cases
- find papers on multi-camera 3D object detection
- survey bird's-eye-view perception methods for autonomous driving
- compare BEVFormer BEVDet and DETR3D implementations
- research vision-centric 3D perception from surround cameras
- find state-of-the-art BEV segmentation papers
- get started with camera-based 3D detection for self-driving
When to choose
- you need a curated reading list of BEV perception research with links to code
- you are surveying multi-camera 3D detection and segmentation literature
- you want to track the evolution of BEV methods from LSS to UniAD
When to avoid
- you need runnable software rather than a paper index
- you need LiDAR-based or single-camera-only 3D detection resources
- you expect maintained code, releases, or support - this is a link collection
Facets
learning-resource · maturity maintenance
computer-vision machine-learning deep-learning autonomous-vehicles computer-vision artificial-intelligence awesome-lists cross-platform awesome-list bev-perception 3d-object-detection multi-camera autonomous-driving paper-collection bird-eye-view
1 source
- readme: https://github.com/chaytonmin/Awesome-BEV-Perception-Multi-Cameras · fetched 2026-08-28 · 83f7a4833df7
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| chaytonmin/Awesome-BEV-Perception-Multi-Cameras | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="chaytonmin/Awesome-BEV-Perception-Multi-Cameras")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem