Team 16

Mapper

Our Product

Problem Statement

To the average person, buying a house can be seen as a huge milestone. It is a sense of accomplishment that is unlike anything else. But in today’s modern real estate, that process can be tedious, long, and often overwhelming. Our project, Mapper, provides users with a more convenient method of viewing houses for sale or rent. By using Simultaneous Localization and Mapping (SLAM) algorithms, our robot will feature the ability to map an entire floor in 3D for users to view, thus reducing the need to travel there in person to get an accurate visualization of their potential home. Using a LIDAR sensor mounted on a custom robot, Mapper will be able to send data through Wi-Fi to an external PC for the SLAM algorithm processing. The result will be a 3D map of the building with measurements, viewable on the external PC.

System Specification

  • Speed of up to 3mph
  • Effective detection range of 15ft
  • Approximately 12 pounds
  • Approximately 2 hours of battery life
  • Durable enough to withstand minor collisions

Concept Image

Concept Image

System Overview

Concept Image

Block Diagram

Block Diagram

Slide Decks

PDR Slide Deck ( PDF / PPT )

Mapper_PDR

MDR Slide Deck ( PDF / PPT )

Mapper_MDR

CDR Slide Deck ( PDF / PPT )

Mapper_CDR

FPR Slide Deck ( PDF / PPT )

Mapper_FPR

Poster ( PDF / PPT )

Mapper_Poster

Report

PDF / DOC

Report

About Us

Advisor: Professor Aura Ganz

Kelvin Nguyen (ME)

Kelvin Nguyen

Marcus Le (EE)

Marcus Le

Bryan Martel (CSE)

Bryan Martel

Derek Sun (CSE)

Derek Sun