This repository is related to detecting road lanes.
Implementation of deep learning method (EfficientDet) and conventional computer vision method for detecting moving objects on a trainer conveyor
This project utilizes a software pipeline to identify the lane boundaries in a video.
My implementation of the Udacity Robotics Nanodegree Autonomous Rover project. We write the code to enable a rover to map and traverse a simulated environment
A cv2-based implementation of a self-driving car module responsible for lane lines detection under different lighting conditions, pavement textures and curves.
A simple Python code demonstrating global colour thresholding for 'red' colour using OpenCV library
Lane Finding and Curvature Estimation using Advanced CV techniques
Custom MATLAB/Simulink control system replacing the stock firmware on an Annin Robotics AR4 MK3 6-DOF arm. Five MATLAB Function blocks — per-joint step/encoder controllers, staged homing, coordinated six-axis motion, closed-form inverse kinematics, and a pick-place FSM — generate C for a Teensy 4.1, with an HSV vision pipeline for color sorting.
In this project, a software pipeline was written to identify the lane boundaries in a video from a front-facing camera on a car using computer vision techniques with openCV.
SW Pipeline to identify the lane boundaries from a front-facing camera on a car (use of OpenCV)
Detect and Classify Red Traffic Signs (Intredit/Prohibition Traffic Signs)
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