Nov 16, 2018 · To stay on the line I'm using PID regulator which uses difference between 2 color sensors on the front for calculating error (sensor read ranges from about 20 on black to 200 on white). It looks something like this:

Solid Lane Detection: Apply mask to detect region of interest(part of the image containing lane to be detected). Apply Hough Transform with minimum length value(decided by tuning) high enough to detect only solid lane.

Jul 25, 2024 · In this article, we are going to see how to Detect Hands using Python. We will use mediapipe and OpenCV libraries in python to detect the Right Hand and Left Hand. We will be using the Hands model from mediapipe solutions to detect hands, it is a palm detection model that operates on the full image

Dec 24, 2014 · Looking at 3 points p0, p1 and p2, you can look at the relative orientation of the two vectors p1 - p0 and p2 - p1. An easy way to do this is to calculate the cross product between the two vectors. The x- and y-components of the cross product are 0 …

In this tutorial, you will learn how you can detect shapes (mainly lines and circles) in images using Hough Transform technique in Python using OpenCV library. The Hough Transform is a popular feature extraction technique to detect any shape within an image.

May 16, 2019 · Steer the robot right (Left Image), Steer the robot left (Right Image) In this case, only the right sensor (Sensor 2) or the left sensor (Sensor 1) detects a line a.k.a they detect black colour.

Feb 10, 2017 · Apply a (blue) color mask on your image before converting to gray scale. You can do so by defining the lower and upper boundary of all 3 channels and performing BITWISE_AND on the original image. You will have to play around with the values of the channel ranges to make sure only the pixels you want get captured.

Apr 29, 2021 · In this tutorial, we will learn how to build a software pipeline for tracking road lanes using computer vision techniques. challenges in road lane detection ? The lines on the road that show...

Python implementation of lane detection using image processing algorithms in OpenCV. This project demonstrates lane detection using a single image from a road dataset. The lanes are marked by a solid white line (on the right) and alternating short …

Feb 2, 2024 · The color and line thickness of the detected lines can be changed by changing the fourth and fifth arguments of the line() function. The color should be a BGR triplet value, and the line thickness should be an integer.