Difference between revisions of "Pi Car Discovery"

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== Gantt Chart ==
 
== Gantt Chart ==
  
[[File: Gantt Chart.png | 500px | left]]
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[[File: Gantt Chart1.png | 500px | left]]
  
 
[[Category:Projects]]
 
[[Category:Projects]]
 
[[Category:Fall 2018 Projects]]
 
[[Category:Fall 2018 Projects]]

Revision as of 04:38, 21 September 2018

[Weekly Logs Link]

Project Overview

Nowadays, as the fast development of technology, artificial intelligence becomes highly valued and popular. High-tech company such as Tesla has developed self-driving technology; Google has invented its instant translation machine; Apple has Siris, etc. With all the excitement and hype of A.I, our group decided to study and explore the Raspberry Pi Car. The goal of this project is to build a model car and use Raspberry Pi to navigate through certain trails. We will try some easy trails first. For example, our preliminary goal is that the car can navigate a path clearly marked on a white floor with black tape. If previous goal is accomplished well, then we will attempt something harder. We can either increase the complexity of road or add more functions into the car.

[Presentation Link for Friday]

Team Members

  • Yinghan Ma (James)
  • Jiaqi Li (George)
  • Zhimeng Gou (Zimon)
  • David Tekien (TA)
  • Jim Feher (instructor)

Objectives

  • Build a pi car
  • Connect the car with Raspberry Pi wirelessly
  • Interface the Raspberry Pi and Arduino with sensors and actuators
  • Enable the car to move
  • Navigate the car by following a easy, straight path clearly marked on a white floor with black tape
  • Navigate the car by following a curved path
  • try some harder path with complex environment
  • Install Night Light into the car
  • Honk the horn when the car detecting barriers at the front

Challenges

  • Learn how to use Raspberry Pi and how Pi interact with each electronical component
  • Code with Python.
  • Understand the meaning of the code in software section
  • Learn CAD and figure out how to 3D print accessories for Pi Car

Budgets

Item Description Source URL Price/unit Quantity Shipping/Tax Total
Buggy Car Used as our pi car Link $99.99 1 $0 $99.99
Rotary Encoder Link $39.95 1 $0 39.95
Raspberry Pi [Provided] $0 1 $0 $0
32GB MicroSD Card [Provided] $0 1 $0 $0
IMU 9DoF Senor Stick Link $14.95 1 $0 $14.95
Raspberry Pi Camera Module V2 Link $29.95 1 $0 $29.95
Brushed ESC Motor Speed Controller Link $8.95 1 $0 $8.95
TowerPro SG90 Micro Servo Link $7.29 1 $0 $7.29
TFMini- Micro LiDAR Module Link $39.95 1 $0 $39.95
Current Sensors Link $6.39 6 $0 $38.34
$274.68

Gantt Chart

Gantt Chart1.png