Vicondrus / Roadster
In this project, a traffic sign recognition system, divided into two parts, is presented. The first part is based on classical image processing techniques, for traffic signs extraction out of a video, whereas the second part is based on machine learning, more explicitly, convolutional neural networks, for image labeling.
☆21Updated 4 years ago
Alternatives and similar repositories for Roadster
Users that are interested in Roadster are comparing it to the libraries listed below
Sorting:
- Implementation of darkflow on traffic sign detection and classification☆74Updated last year
- Identifying traffic signs in real time using YOLO for autonomous self driving car☆72Updated last year
- Traffic signs detection and classification in real time☆288Updated last year
- Final Project for Applications of Machine Learning in Mechatronic Systems☆28Updated 4 years ago
- Real time traffic sign classification using deep learning☆13Updated 8 years ago
- A Deep Neural Network to do traffic sign recognition☆47Updated 8 years ago
- Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".☆332Updated 3 years ago
- Final Master Thesis on how to detect CARLA Simulator's Traffic Speed Sign using YOLO v3 Neural Network for object detection☆42Updated 5 years ago
- Final Year Project: Traffic sign detection and recognition using YOLO, and Raspberry Pi.☆14Updated 3 years ago
- Train YOLO object detection model to find traffic signs in the images. Use OCR pipeline to extract the information from the signs with te…☆12Updated 4 years ago
- Turkish Traffic Sign Detection and Classification using Faster R CNN Inception v2 in Python☆17Updated 6 years ago
- A project to demonstrate lane detection with a front facing camera.☆118Updated last year
- Computer Vision algorithm to compute road curvature and lane vehicle offset using OpenCV Image Processing, Camera Calibration, Perspectiv…☆42Updated 5 years ago
- To ease the driver to identify the Traffic Signs and also for the efficient working of Self-Driving Cars.☆20Updated 4 years ago
- ☆13Updated 3 years ago
- Autonomous self-driving is in the trend for implementing it in our real life to remove all the hassles and accidents. Modern-day transpor…☆18Updated 6 years ago
- This project is an aspect of a big project that is called the Self-Driving Car. One of the essential techniques in Self-Driving Car engin…☆10Updated 4 years ago
- capsule networks that achieves outstanding performance on the German traffic sign dataset☆126Updated 6 years ago
- Self driving car Lane detection☆12Updated 6 years ago
- ☆98Updated 2 months ago
- Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking …☆168Updated 4 years ago
- This project is my implementation of NVIDIA's PilotNet End to End deep CNN (built with Keras) to clone the behavior of a self driving c…☆9Updated 6 years ago
- Lane Detection for Self-Driving Car, using Computer Vision Techniques☆50Updated 8 years ago
- Algorithm that steers a vehicle by using just the front-facing camera as an input feed (Advance lane detection)☆25Updated 5 years ago
- ☆12Updated 4 years ago
- YOLOv5 is the latest version of YOLO family of object detection models. It's the first YOLO implementation in PyTorch (rather than Darkn…☆17Updated 3 years ago
- Detect free parking lot available for cars☆82Updated 3 years ago
- Proyecto Integrador - Ing. en Computación☆42Updated 2 years ago
- Detect and track vehicles on a video stream and count those going through a defined line.☆94Updated 6 years ago
- ☆84Updated 3 years ago