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advancedlanedetection

antitheftvehicletrackingsystem

This project contains code developed by two students at U. of Colorado at Boulder to develop a DIY prototype of Anti theft vehicle tracking system. Please use at your own risk. We are sharing so that other researchers and developers can recreate our results and make suggestions to improve and extend the project over time.

assets

behavioralcloning

btmeshaudio

Bluetooth Audio using raspberry pi

cache_simulator

Cache simulator using C++

carnd-capstone

carndkidnappedvehicleproject

carndmpc

carndpathplanning

carndpidcontrol

carndsemanticsegmentaion

distributedfileserver

Distributed File Server For Reliable File Transmission

dronenet_ml

extendedkalmanfilter

findphone

frontend-nanodegree-resume

This repository is used for one of the projects in Udacity's Front-End Web Developer Nanodegree program. Learn how to become a Front-End Developer today with line-by-line code reviewed projects and get a job with career services!

http_tcp

HTTP Server using TCP

lanedetection

Udacity Self Driving Nano Degree Term 1 Project

lwirvisiblefusion

LWIR and Visible Fusion using OpenCV for RTES

ml_benchmarkstudy

Machine Learning using GPGPU/CPU - Benchmark study

netsys

Network System Class

obstacle

Direction finder for Blind

proxy_server

HTTP proxy server

pysyncobj

A library for replicating your python class between multiple servers, based on raft protocol

resume

Have a look at my resume! :)

roman_calculator

Roman Calculator

saliency_opencv

Reusing the OpenCV's Saliency algorithms for research purpose

smartcamera_opencl_de1soc

This project contains code developed by a research team at University of Colorado,Boulder and Embry Riddle Aeronautical University to explore FPGA and GP-GPU co-processor power efficiency for continous transform 3D mapping and sensor fusion. Please use at your own risk. We are sharing so that other researchers and developers can recreate our results and make suggestions to improve and extend the benchmarks over time. The results we obtained were documented in the SPIE Sensor and Technologies paper: S. Siewert, V. Angoth, R. Krishnamurthy, K. Mani, K. Mock, S. B. Singh, S. Srivistava, C. Wagner, R. Claus, M. Demi Vis, “Software Defined Multi-Spectral Imaging for Arctic Sensor Networks”, SPIE Algorithms and Technologies for Multipectral, Hyperspectral, and Ultraspectral Imagery XXII, Baltimore, Maryland, April 2016. This repository includes FPGA codes

thread_application

Desktop Application for Smart home outlet