nahmed087
I am currently working as a Firmware Engineer at NSSLGlobal Technologies AS, Norway. I'm a social media junkie as well, and active on IG, G-Maps & G-Translate.
@Udacity, @codementor @ntnu Norway
Pinned Repositories
Advance-Lane-Finding-Project
This is the fourth project that is submitted towards completing Self Driving Car Nanodegree from Udacity. In this project, we develop some advance techniques such as undistortion, perceptive transform, sobel transform to detect the lane lines. To make the visualisation even more intuitive, the radius of curvature of the straight and curvy lanes and the displacement from the center of the lane are also computed. These parameters along with the detected lane lines are shown in the image.
AES_in_verilog
An algorithmic state machine verilog code for AES Encryption/Decryption Algorithm
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Deploying-DL-on-NVIDIA-Jetson-TX-2
Welcome to our training guide for inference and deep vision runtime library for NVIDIA DIGITS and Jetson Xavier/TX1/TX2.
GNSS-SDRLIB
An Open Source GNSS Software Defined Radio Library
Hello_Ultra96
Files for the hello ultra 96 lab
naveed087
Config files for my GitHub profile.
Object-Detection
Traffic-Sign-Classification
This is the second project that is submitted towards completing Self Driving Car Nanodegree from Udacity. In this project, we develop a LeNet based neural network that detects the traffic signs commonly observed by a car on roads. A German dataset of traffic sign images that is considered as benchmark is used for training and validating the network. The database contains more than 30000 images of various traffic signals. The images were captured in different situations. The architecture of the network is inspired from one of the most celebrated researcher Yann LeCunn who pioneed the LeNet that was actually made for handwritting detection. The accuracy of the network is around 96%.
nahmed087's Repositories
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