Project

# Title Team Members TA Documents Sponsor
21 Campus Tour Guide by AI-Powered Autonomous System
 Bob Jin
Hao Ren
Weiang Wang
Yuntong Gu
 design_document3.pdf
final_paper3.pdf
proposal1.pdf
 Simon Hu
This [link](https://accurate-ringer-067.notion.site/Campus-Tour-Guide-by-AI-Powered-Autonomous-System-f4d17e16378740e2948f5bef4afd7315?pvs=4) contains the html version of our project description.



# Team Members


* Hao Ren 3200110807 haor2
* Xuanbo Jin 3200110464 xuanboj2
* Weiang Wang 3200111302 weiangw2
* Yuntong Gu 3200110187 yuntong7



> 💡 Note: this doc provides an overview of the project “Campus Tour Guide by AI-Powered Autonomous System”. We start by re-iterating the problem. We then present our proposal and solution. We also draft an initial plan to help build `v0`solution.

# đź‘€ Problem

Anyone entering a place for the first time, like an university, can be quite challenging. Knowing where you are, how to get to your destination, how to optimize your routes, knowing factors that will influence your routes can be complicated. Having a real-time interactive system that guides people through this process is needed. It has been possible yet not able to scale because it’s not open-sourced, and its hardware isn’t standardized, and is expensive. The interaction isn’t versatile enough to adapt well under the ever-changing applications. A cheap and versatile solution is needed.

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# đź’­ Proposal

## Solution Overview

Our solution utilizes autonomous UAV to guide our clients, sensing them and the environment, such as obstacles and drone’s location with a sensor module, controlled by a control unit which orchestrate a series of tasks. Our solution is cheap, open-sourced, and versatile to meet the need of a generalized and sustainable long-term solution for our campus and many other applications.

## Solution Components

Our solution contains the following parts: a sensor subsystem, a control subsystem, a mobility subsystem, an inter-connect module.

### Sensor Subsystem

- Identify obstacles
- Identify the person to lead, exclude the other people
- GPS location

### Control Subsystem

- Deploy routes

### Mobility Subsystem

- A drone

### Inter-connect Module

- Inter-communication of control unit, peripheral sensors, and the drone
- Supply power to the sensor module and control unit.

## Criteria for Success

### Milestone 1

- drone can be controlled and moved independently
- GPS can sense the location
- Sensors can be powered

### Milestone 2

- Drone can be controlled by control subsystem
- control subsystem can receive signal from GPS module and sensors
- Routes can be output (not necessarily by moving the drones)

### Milestone 3

- Without obstacle, the system can follow the human
- Without obstacle, the system can fly from A to B and slow down / stop when human is too far away
- System can identify obstacle and plan a route to avoid them

### Milestone 4

- With obstacle, the system can fly from A to B and slow down / stop when human is too far away
- The starting point and ending destination pairs can be selected, e.x. 5 pairs of (A,B) is available.

### Milestone 5 [optional]

- An easy web app which sends signal to the system
- System can receive our instruction (vocal) and design a destination and lead the clients
- Support interactive chatting mode to help understand the surroundings

## Alternatives

*SKYCALL* currently provides a similar version of guiding tour for MIT. But that project isn’t open-sourced and the hardware are not cheap enough, or easy-to-maintain. Our solution is different in that we provide

- Cheap solution
- Open sourced solution (software + hardware), each component will be documented
- Unnecessary functionality will give its way to generality
- Versatile enough to support our campus (which is drastically different to MIT)

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# 🛫 Division of Work

- Xuanbo Jin: Xuanbo excels at software works. He should do the algorithm part of the design and also takes part in the firmware integration.
- Yuntong Gu: Yutong’s strong background at electrical engineering makes him a great candidate to test the validity of different hardware and connect them to the object. He should also helps the communication between each components.
- Weiang Wang: Enabled by weiang’s strong background in electrical engineering, he should actively helps the communication and interfaces between components.
- Hao Ren: Hao can do assorted works. Hao should actively do the software and firmware part of the work. Hao should explore the validity of possible direction and iterate the version of the projects properly. Hao should organize the roadmap and update it frequently, examining the priority of each part by experimentation and analysis.

Fixed wing drone with auto-navigation

Ziyang An, Zhanhao He, Yihui Li, Zhibo Teng

Featured Project

# Fixed wing drone with auto-navigation

## Group Members

**Zhibo Teng** NetID: zhibot2

**Yihui Li** NetID: yihuil2

**Ziyang An** NetID: ziyanga2

**Zhanhao He** NetID: zhanhao5

## Problem

Traditional methods of data collection, such as using manned aircraft or ground surveys, can be time-consuming, expensive, and limited in their ability to access certain areas. The multi-rotor airfoil UAV being used now has slow flight speed and short single distance, which is not suitable for some long-distance operations. Moreover, it needs manual control, so it has low convenience. Fixed wing drones with auto-navigation can overcome these limitations by providing a cost-effective and flexible solution for aerial data collection.

The motivation behind our design is to provide a reliable and efficient way to collect high-quality data from the air, which can improve decision-making processes for a variety of industries. The drone can fly pre-determined flight paths, making it easier to cover large areas and collect consistent data. The auto-navigation capabilities can also improve the accuracy of the data collected, reducing the need for manual intervention and minimizing the risk of errors.

## Solution Overview

Our design is a fixed wing drone with auto-navigation capabilities that is optimized for aerial data collection. The drone is equipped with a range of sensors and cameras, as well as software that allows it to fly pre-determined flight paths and collect data in a consistent and accurate manner. Our design solves the problem of inefficient and costly aerial data collection by providing a cost-effective and flexible solution that can cover large areas quickly and accurately. The auto-navigation capabilities of the drone enable it to fly pre-determined flight paths, which allows for consistent and repeatable data collection. This reduces the need for manual intervention, which can improve the accuracy of the data and minimize the risk of errors. Additionally, the drone’s compact size and ability to access difficult-to-reach areas can make it an ideal solution for industries that require detailed aerial data collection.

## Solution Components

### Subsystem #1: Aircraft Structure and Design

* Design the overall structure of the plane, including the wings, fuselage, and tail section

* Use 3D modeling software to create a digital model of the plane

* Choose materials for construction based on their weight, durability, and strength

* Create a physical model of the plane using 3D printing or laser cutting

### Subsystem #2: Flight Control System

* Implement a flight control system that can be operated both manually and automatically

* For manual control, design a control panel that includes a joystick and other necessary controls

* For automatic control, integrate a flight controller module that can be programmed with waypoints and flight parameters

* Choose appropriate sensors for detecting altitude, speed, and orientation of the plane

* Implement algorithms for stabilizing the plane during flight and adjusting control surfaces for directional control

### Subsystem #3: Power and Propulsion

* Choose a suitable motor and propeller to provide the necessary thrust for the plane

* Design and integrate a battery system that can power the motor and control systems for a sufficient amount of time

* Implement a power management system that can monitor the battery voltage and ensure safe operation of the plane

### Subsystem #4: Communication and Telemetry

* Implement a wireless communication system for transmitting telemetry data and controlling the plane remotely

* Choose a suitable communication protocol such as Wi-Fi or Bluetooth

* Develop a user interface for displaying telemetry data and controlling the plane from a mobile device or computer

## Criterion for Success

1. Design and complete the UAV model including wings, fuselage, and tail section

2. The UAV can fly normally in the air and realize the control of the UAV, including manual and automatic control

3. To realize the data monitoring of UAV in flight, including location, speed and altitude

## Distribution of Work

**Zhibo Teng:** Aircraft Structure and Design

**Yihui Li:** Aircraft Structure and Design

**Ziyang An:** Flight Control System Power and Propulsion

**Zhanhao He:** Flight Control System Communication and Telemetry