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2d-histogram-filter

This project consists of sense and move functions based on Monte Carlo Localization to localize the robot after taking the initial beliefs of the robot.

advanced-lane-finding

This project finds the radius of curvature and the vehicle offset from the lane.

build-my-world

This project consists of a simulated world in gazebo and a plugin to interact with it.

deploying-sentiment-analysis-model

A simple web app that interacts with a deployed recurrent neural network performing sentiment analysis on movie reviews.

finding-lane-lines

A lane detection pipeline built using python and OpenCV

gazebo_models

Model database

go-chase-it-

A mobile robot that chases red-colored balls.

home-service-robot

A mobile robot that will autonomously map an environment and navigate to pickup and deliver objects!

machine-learning

map-my-world

Deploy RTAB-Map on a simulated mobile robot to create 2D and 3D maps of the environment in which it is operating.

matrix-class-python

This project uses object-oriented programming to implement a matrix class in python

openstreetmap-route-planner

An extension of the IO2D OpenStreetMap demo code to render a path between two points.

optimized-2d-histogram-filter

This project optimizes the 2D-histogram-filter to run it faster.

system-monitor

traffic-light-classifier

A classification pipeline that takes in an image of traffic lights and outputs a label that classifies the image as a red, green, or yellow traffic light.

where-am-i

This project uses the Adaptive Monte Carlo Localization algorithm in ROS to localize a mobile robot!