ruhyadi/YOLO3D
YOLO 3D Object Detection for Autonomous Driving Vehicle
This project helps autonomous vehicles perceive their surroundings by detecting and localizing objects in 3D space from camera images. It takes raw camera footage as input and outputs the precise 3D bounding boxes and locations of objects like cars and pedestrians, enabling better navigation and collision avoidance. It is primarily used by engineers and researchers developing self-driving car systems.
387 stars. No commits in the last 6 months.
Use this if you need to identify the exact 3D position and dimensions of objects from 2D camera images for autonomous driving applications.
Not ideal if you require real-time 3D object detection for non-automotive applications or if your data comes from LiDAR or radar instead of cameras.
Stars
387
Forks
62
Language
Python
License
—
Category
Last pushed
Sep 18, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/ruhyadi/YOLO3D"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ultralytics/ultralytics
Ultralytics YOLO 🚀
Megvii-BaseDetection/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX,...
kujason/avod
Code for 3D object detection for autonomous driving
aparsoft/yolo-streamlit-detection-tracking
Object detection and tracking algorithm implemented for Real-Time video streams and static images.
RizwanMunawar/yolov8-object-tracking
YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics