GitHub / aviralchharia / Autonomous-Vehicle-Project
Developed a computer vision system for an autonomous vehicle capable of lane changing, avoiding vehicle collision by calculating relative vehicle speeds, etc. Used Hough Transform, Canny edge detection & ED-lines algorithm. Applied CNN on German traffic sign database for identifying traffic-signs & implemented behavioral cloning on a simulator. Tested the model’s performance in different weather conditions.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aviralchharia%2FAutonomous-Vehicle-Project
PURL: pkg:github/aviralchharia/Autonomous-Vehicle-Project
Stars: 1
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 2.43 MB
Dependencies parsed at: Pending
Created at: over 5 years ago
Updated at: almost 5 years ago
Pushed at: almost 5 years ago
Last synced at: over 2 years ago
Topics: autonomous-vehicles, behavioral-cloning, canny-edge-detection, cnn, collision-avoidance, computer-vision, deep-learning, hough-transform, lane-lines-detection, neural-networks, opencv, self-driving-car, traffic-sign-classification