Mouiad-JRA / Lane-Line-Detection-using-Image-Processing-vs-Deep-LearningLinks
Lane line detection technique is used in many self-driving autonomous vehicles as well as line-following robots,We developed a software to Detect lane lines in a variety of conditions, including changing road surfaces, curved roads, and variable lighting. An image processing based detection and a deep learning AI detection are to be implemented…
☆15Updated 3 years ago
Alternatives and similar repositories for Lane-Line-Detection-using-Image-Processing-vs-Deep-Learning
Users that are interested in Lane-Line-Detection-using-Image-Processing-vs-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.☆88Updated 3 years ago
- A pipeline that can detects lane boundaries, predicts upcoming curves, and measures lane curvature.☆123Updated 5 years ago
- ☆84Updated 4 years ago
- Development of a lane detection and tracking solution for self-driving cars. This is an important part of the autopilot system, to ensure…☆14Updated last year
- My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison bet…☆85Updated 4 years ago
- Computer Vision algorithm to compute road curvature and lane vehicle offset using OpenCV Image Processing, Camera Calibration, Perspectiv…☆15Updated 5 years ago
- Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking …☆175Updated 5 years ago
- The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / Y…☆265Updated last year
- Real-Time Detection And Classification of Traffic Signs using YOLOv5s object detection algorithm. [AI PROJECT]☆32Updated 4 years ago
- Lane detection and object detetion (YOLO) using OpenCV and python☆40Updated 5 years ago
- ☆12Updated 4 years ago
- In this project, I used a deep neural network (built with Keras) to clone car driving behavior. The dataset used to train the network is …☆14Updated 7 years ago
- ☆13Updated 4 years ago
- Vehicle detection using YOLOv3,4,5 ---- Tracking using DeepSORT -----Speed Estimating using personal method☆17Updated 3 years ago
- This is a project based on a research paper to detect fatigue levels of a person through a photograph.☆33Updated 2 years ago
- Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3☆74Updated 5 years ago
- Computer Vision algorithm to compute road curvature and lane vehicle offset using OpenCV Image Processing, Camera Calibration, Perspectiv…☆45Updated 5 years ago
- Final Master Thesis on how to detect CARLA Simulator's Traffic Speed Sign using YOLO v3 Neural Network for object detection☆41Updated 6 years ago
- An experimental project for autonomous vehicle driving perception with steering angle prediction and semantic segmentation using a combin…☆11Updated 4 years ago
- A tutorial for training YOLOv3 to detect traffic lights using BOSCH small traffic light dataset.☆133Updated 4 years ago
- A project to demonstrate lane detection with a front facing camera.☆126Updated last year
- ☆81Updated 5 years ago
- Vehicle Speed Detection is a Python Script to track and detect the speed of a moving vehicle. This script can automatically detect the la…☆13Updated 5 years ago
- Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with…☆55Updated 3 years ago
- Unofficial implemention of lanenet model for real time lane detection Pytorch Version☆169Updated 3 years ago
- Example scripts for the detection of lanes using the ultra fast lane detection model in ONNX.☆55Updated 2 years ago
- Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project. Identifying lanes using edge detection (Sobel operator, gradi…☆53Updated 4 years ago
- Deep Learning Lane Detection☆13Updated 6 years ago
- ☆156Updated 3 years ago
- A practical implementation of pixel level segmentation based road detection and steering angle estimation methods.☆19Updated 3 years ago