Vicondrus / RoadsterLinks
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 5 years ago
Alternatives and similar repositories for Roadster
Users that are interested in Roadster are comparing it to the libraries listed below
Sorting:
- Traffic signs detection and classification in real time☆292Updated 2 years ago
- Implementation of darkflow on traffic sign detection and classification☆75Updated 2 years ago
- Detect free parking lot available for cars☆85Updated 4 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
- 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
- Turkish Traffic Sign Detection and Classification using Faster R CNN Inception v2 in Python☆17Updated 6 years ago
- Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".☆334Updated 3 years ago
- A project to demonstrate lane detection with a front facing camera.☆127Updated last year
- Identifying traffic signs in real time using YOLO for autonomous self driving car☆77Updated last year
- My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison bet…☆86Updated 4 years ago
- Algorithm that steers a vehicle by using just the front-facing camera as an input feed (Advance lane detection)☆25Updated 6 years ago
- The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisit…☆173Updated 3 years ago
- Vehicle detection and tracking using deep learning and computer vision.☆13Updated 4 years ago
- ☆13Updated 4 years ago
- A collection of all projects pertaining to different layers in the SDC software stack☆233Updated 7 years ago
- ☆98Updated 2 weeks ago
- Vehicle detection using YOLOv3,4,5 ---- Tracking using DeepSORT -----Speed Estimating using personal method☆17Updated 3 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…☆18Updated 4 years ago
- Self driving car Lane detection☆12Updated 7 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…☆320Updated 3 years ago
- Predicting the energy consumption of EVs using the RNN and LSTM. Competencies: Machine Learning, RNN, SUMO Simulation. Python Libraries: …☆20Updated 4 years ago
- Driving Range Prediction and Energy Consumption Rate Deviation Classification using ML Models based on Real Electric Vehicle Data☆50Updated last year
- detect curved lane lines using HSV filtering and sliding window search.☆191Updated 7 years ago
- Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking …☆176Updated 5 years ago
- Proyecto Integrador - Ing. en Computación☆42Updated 3 years ago
- Final Project for Applications of Machine Learning in Mechatronic Systems☆29Updated 4 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…☆17Updated 7 years ago
- This projects contains the files for the Lane Keeping Assist System for a self driving car in MATLAB Simulink.☆20Updated 7 years ago
- Autonomous driving - car detection using the very powerful YOLO model☆84Updated 7 years ago
- Adaptive Cruise Control System Using Model Predictive Control☆25Updated 3 years ago