P18542: Real Time Terrain Mapping


Project Summary Project Information

Natural disasters and emergencies happen frequently; regardless of the resources of the areas they occur in. For locations with limited first responder equipment and manpower, it is often very difficult to locate and rescue victims as quickly and safely as possible. This project aims to address this need by creating an Autonomous Search And Rescue (ASAR) prototype for future development.

Current search and rescue operations rely heavily on error prone human perception and the availability of expensive equipment (most of which takes trained specialists to operate). An autonomous search and rescue unit is a system capable of mapping navigating a disaster zone accurately without requiring nearly as much manpower. This system will be able to efficiently determine and traverse the optimal route within dangerous area in order to minimize the time taken by first responders to rescue victims.

The goals of this project are to design a prototype system that will be able to autonomously travel through a simulated disaster zone using a path optimized for the safety and speed of first responders. This will minimize both the time taken to reach victims in critical condition as well as the risk to humans traveling through natural disasters. Several natural disaster scenarios will be simulated in a controlled environment to prove path finding capabilities of the system. The autonomous robot will navigate through multiple types of simulated terrain and dangerous events. Once functionality is achieved at this prototype level, the ASAR system can be scaled up and generalized to operate in natural environments.

Project Name
Autonomous Search and Rescue (ASAR)
Project Number
Start Term
End Term
Faculty Guide(s)
Fall: Professor Slack, gbseee@rit.edu / Spring: Professor Indovina, maieee@rit.edu
Primary Consultant
Lt. Ronald Steen, Niagara County Sheriff's Department

Team Members

From Left to Right: Shane Snover, Andrew Pfeil, Mark Batorski, Corey Mack, Aaron Mallabar

From Left to Right: Shane Snover, Andrew Pfeil, Mark Batorski, Corey Mack, Aaron Mallabar

Member Role Contact
Mark Batorski Computer Vision mxb9697@rit.edu
Shane Snover Embedded Software sws7379@rit.edu
Corey Mack Robotics/Financial Lead cdm5751@rit.edu
Aaron Mallabar Robotics/PCB Design axm7888@rit.edu
Andrew Pfeil Path Finding/Robotics/Project Manager ajp2187@rit.edu

Work Breakdown: By Phase


Planning & Execution

Project Photos and Videos

Imagine RIT

Gate Reviews

Problem Definition

Systems Design

Preliminary Detailed Design

Detailed Design

Build & Test Prep

Subsystem Build & Test

Integrated System Build & Test

Customer Handoff & Final Project Documentation (Verification & Validation)

Work Breakdown: By Topic

Project Management Design Tools Design Documentation Implementation Validation Presentation & Dissemination





Risk Management

Problem Management

Communication & Minutes

Use Cases


Functional Decomposition

Morphological Chart

Pugh Concept Selection


Mechanical Drawings

Electrical Schematics

Software Diagrams

Facility Layout



Test Fixtures


Test Plans

Analysis Results


Test Results

Design Review Documents

Technical Paper


Imagine RIT Exhibit