Request for Approval

Description

The request for approval (RFA) is the very first step in successfully completing a senior design project. Before submitting your RFA, you must post your project idea to the Web Board using the "Idea" post type. Once your idea has been fleshed out through the Web Board, you can move on request for approval through PACE under the My Project page. Once submitted, your project will be cloned to the Web Board as "Project Request" post. You can edit the project on the My Project page, add your teammates and see comments from the instructors. The course staff may provide feedback on your idea (which will appear at the bottom of your project's page), or suggest changes in the scope of the project and ask you to re-submit an RFA. Based on your incorporation of feedback your project will be approved or rejected. If it is rejected, the My Project page will revert back to it's original format and your project will disappear.

Once the course staff has approved the project idea, you will receive instructions on how to submit your project through PACE, at which time you will be assigned a project number in the Projects list, a TA, and a locker in the lab. Once your project is approved, please go to the Projects page, log into the PACE system, and make sure all of the information is correct.

Video Lecture

Video, Slides

Requirements and Grading

The RFA is graded credit/no credit based on whether your project is approved before the deadline. Note that submitting an RFA before the deadline does not guarantee approval before the deadline. The RFA is submitted through PACE under the My Project page, and should be Markdown-formatted with the following information:

# Title

Team Members:
- Student 1 (netid)
- Student 2 (netid)
- Student 3 (netid)

# Problem

Describe the problem you want to solve and motivate the need.

# Solution

Describe your design at a high-level, how it solves the problem, and introduce the subsystems of your project.

# Solution Components

## Subsystem 1

Explain what the subsystem does.  Explicitly list what sensors/components you will use in this subsystem.  Include part numbers.

## Subsystem 2

## ...

# Criterion For Success

Describe high-level goals that your project needs to achieve to be effective.  These goals need to be clearly testable and not subjective.

Projects must be legal and ethical. They must have significant scope and complexity commensurate with the size of the team. This is, of course, a subjective assessment of the course staff. To gain some insight into this judgment, please browse projects from previous semesters. The project must involve the design of a significant hardware component at the circuit level. In exceptional cases, projects not meeting this criteria may be acceptable when augmented by a Special Circuit assignment (however this is typically a last resort).

Beyond these basic requirements, you have total discretion in proposing a project. This is a great opportunity for you to pursue your own interests. Since you choose your own projects, we expect a high level of enthusiasm from you and your team.

Submission and Deadlines

The RFA submission deadline may be found on the Course Calendar. Typically, approval of the RFA is due during the afternoon of the third Thursday of the semester.

Quick Tips and Helpful Hints

Posting: Choosing a project: Choosing partners: Some general project ideas that are fraught with pitfalls:

Decentralized Systems for Ground & Arial Vehicles (DSGAV)

Mingda Ma, Alvin Sun, Jialiang Zhang

Featured Project

# Team Members

* Yixiao Sun (yixiaos3)

* Mingda Ma (mingdam2)

* Jialiang Zhang (jz23)

# Problem Statement

Autonomous delivery over drone networks has become one of the new trends which can save a tremendous amount of labor. However, it is very difficult to scale things up due to the inefficiency of multi-rotors collaboration especially when they are carrying payload. In order to actually have it deployed in big cities, we could take advantage of the large ground vehicle network which already exists with rideshare companies like Uber and Lyft. The roof of an automobile has plenty of spaces to hold regular size packages with magnets, and the drone network can then optimize for flight time and efficiency while factoring in ground vehicle plans. While dramatically increasing delivery coverage and efficiency, such strategy raises a challenging problem of drone docking onto moving ground vehicles.

# Solution

We aim at tackling a particular component of this project given the scope and time limitation. We will implement a decentralized multi-agent control system that involves synchronizing a ground vehicle and a drone when in close proximity. Assumptions such as knowledge of vehicle states will be made, as this project is aiming towards a proof of concepts of a core challenge to this project. However, as we progress, we aim at lifting as many of those assumptions as possible. The infrastructure of the lab, drone and ground vehicle will be provided by our kind sponsor Professor Naira Hovakimyan. When the drone approaches the target and starts to have visuals on the ground vehicle, it will automatically send a docking request through an RF module. The RF receiver on the vehicle will then automatically turn on its assistant devices such as specific LED light patterns which aids motion synchronization between ground and areo vehicles. The ground vehicle will also periodically send out locally planned paths to the drone for it to predict the ground vehicle’s trajectory a couple of seconds into the future. This prediction can help the drone to stay within close proximity to the ground vehicle by optimizing with a reference trajectory.

### The hardware components include:

Provided by Research Platforms

* A drone

* A ground vehicle

* A camera

Developed by our team

* An LED based docking indicator

* RF communication modules (xbee)

* Onboard compute and communication microprocessor (STM32F4)

* Standalone power source for RF module and processor

# Required Circuit Design

We will integrate the power source, RF communication module and the LED tracking assistant together with our microcontroller within our PCB. The circuit will also automatically trigger the tracking assistant to facilitate its further operations. This special circuit is designed particularly to demonstrate the ability for the drone to precisely track and dock onto the ground vehicle.

# Criterion for Success -- Stages

1. When the ground vehicle is moving slowly in a straight line, the drone can autonomously take off from an arbitrary location and end up following it within close proximity.

2. Drones remains in close proximity when the ground vehicle is slowly turning (or navigating arbitrarily in slow speed)

3. Drone can dock autonomously onto the ground vehicle that is moving slowly in straight line

4. Drone can dock autonomously onto the ground vehicle that is slowly turning

5. Increase the speed of the ground vehicle and successfully perform tracking and / or docking

6. Drone can pick up packages while flying synchronously to the ground vehicle

We consider project completion on stage 3. The stages after that are considered advanced features depending on actual progress.

Project Videos