B
BEVFormer
fundamentalvision/BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
★4.6kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?Models project leveraging autonomous-driving and computer-vision, built with Python, open-source
Who made it?Maintained by fundamentalvision team, 4.6K⭐ on GitHub, #317 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the fundamentalvision team identified the need for better autonomous-driving solutions. BEVFormer was created to simplify computer-vision workflows.
What can it do?Key use cases: deep-learning, object-detection
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/fundamentalvision/BEVFormer | 官网 https://arxiv.org/abs/2203.17270
🔗 github.com/fundamentalvision/BEVFormer | 官网 https://arxiv.org/abs/2203.17270
Topics
autonomous-drivingcomputer-visiondeep-learningobject-detection