Real-time lane and car detection system using YOLOv8 and OpenCV, with distance estimation for vehicles. Ideal for autonomous driving and traffic analysis.
Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending
Nov 4 – Nov 5, 2026
Stars +1 in 2 days
Forks +0 in 2 days
Merged PRs 0 in 2 days
Trendshift Trendingwhere the repository ranked each day it made the top 25
Not in the Trendshift top 25 in this period
| Day | Stars gained | Forks gained | Merged PRs |
|---|---|---|---|
| Wed, Nov 4, 2026 | +1 | +0 | 0 |
| Thu, Nov 5, 2026 | +0 | +0 | 0 |
| Total | +1 | +0 | 0 |
Real-time lane and car detection with distance estimation
@tom_doerr · x.com
This project performs real-time driving action prediction from car dashcam video by combining YOLOv11 for object detection, ByteTrack for multi-object tracking, and Depth Anything V2 for depth estimation.
Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project. Identifying lanes using edge detection (Sobel operator, gradient of magnitude and direction, and HLS color space), camera calibration and unwarping (distortion correction and perspective transform), and polynomial fitting for the lanes.
Vehicle Detection Using Deep Learning and YOLO Algorithm
AI-powered traffic intelligence platform for real-time vehicle analytics, congestion prediction, and smart urban mobility systems.
Machine learning and Structure-from-Motion tools for estimating vehicle speed from imagery for traffic monitoring, road safety, and autonomous systems research.
Modular real-time computer vision system | YOLOv8 object detection · face detection · motion analysis · edge extraction · multi-object tracking · CNN classification | OpenCV + PyTorch
19 ready-to-run computer vision projects with YOLO, ByteTrack & MediaPipe — counting, safety, ANPR, heatmaps and more
