sgagankumar / TheGhostCar-AutonomousCarProject
Autonomous Self-Driving Car Prototype - with automatic steering control, traffic sign recognition, traffic light detection and other object detection features.
☆16Updated 3 months ago
Alternatives and similar repositories for TheGhostCar-AutonomousCarProject:
Users that are interested in TheGhostCar-AutonomousCarProject are comparing it to the libraries listed below
- Identifying traffic signs in real time using YOLO for autonomous self driving car☆69Updated 11 months ago
- Traffic signs detection and classification in real time☆284Updated last year
- 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 3 years ago
- Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3☆65Updated 4 years ago
- Implementation of darkflow on traffic sign detection and classification☆74Updated last year
- Use yolov5 for traffic sign detection☆26Updated 3 years ago
- Traffic sign detection 交通标志、信号灯检测,请加Q群交流:904484709☆51Updated 5 years ago
- Real-Time Detection And Classification of Traffic Signs using YOLOv5s object detection algorithm. [AI PROJECT]☆31Updated 3 years ago
- This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed es…☆307Updated 2 years ago
- A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"☆144Updated 5 years ago
- The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisit…☆165Updated 2 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
- The ability of the computer to locate and identify each object in an image/video is known as object detection. Object detection has many …☆29Updated 6 years ago
- ☆10Updated 4 years ago
- ☆84Updated 3 years ago
- Computer Vision algorithm to compute road curvature and lane vehicle offset using OpenCV Image Processing, Camera Calibration, Perspectiv…☆13Updated 5 years ago
- Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.☆39Updated 5 years ago
- ☆67Updated 4 years ago
- Lane detection and object detetion (YOLO) using OpenCV and python☆32Updated 4 years ago
- In this project, a traffic sign recognition system, divided into two parts, is presented. The first part is based on classical image proc…☆21Updated 4 years ago
- I have used YOLOv3 Algorithm for Vehicle Detection and Deep Sort Algorithm for Vehicle Tracking. After tracking the vehicles I have tried…☆17Updated 4 years ago
- A Deep Neural Network to do traffic sign recognition☆47Updated 7 years ago
- ☆12Updated 4 years ago
- Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".☆330Updated 3 years ago
- Build a Traffic Sign Recognition Project The goals of this project are the following: Load the data set Explore, summarize and visualiz…☆12Updated 4 years ago
- Lane detection using deep learning (Fully Connected CNN) and OpenCV☆16Updated 6 years ago
- ☆24Updated 7 years ago
- A pipeline that can detects lane boundaries, predicts upcoming curves, and measures lane curvature.☆116Updated 4 years ago
- This project is traffic Sign detection and recognition using openCV and Tensorflow☆13Updated 4 years ago
- Detect and track vehicles on a video stream and count those going through a defined line.☆93Updated 6 years ago