Difference between revisions of "Pi Car Discovery"
Line 176: | Line 176: | ||
[[File:PtoA.png|200px|left]] | [[File:PtoA.png|200px|left]] | ||
[[File:PitoA.png|700px|center]] | [[File:PitoA.png|700px|center]] | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | In the end we try to use I2C communication: | ||
== Camera detection == | == Camera detection == |
Revision as of 20:33, 3 December 2018
Project Proposal
Project Overview
Nowadays, with the fast development of technology, artificial intelligence becomes highly valued and popular. High-tech companies have developed incredible technology. Some notable examples are Tesla with self-driving cars, Google has invented its instant translation machine, Apple has created Siri, 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. For example, our preliminary goal is for the car to navigate a path clearly marked on a white floor with black tape. We will try some easy trails first, then we will attempt harder tasks as we achieve our goals. We can either increase the complexity of road or add more functions into the car.
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 | |
Honk | Link | $11.99 | 1 | $0 | $11.99 | |
$286.67 |
Gantt Chart
References
Design and Solutions
Build the car
Extra Materials that we need:
- 3D printed layers
- 3D printed frame for fixing the encoder and the car
- Gear that fix the encoder
- Some plastic central plastic gears for back up (since they broke easily)
The first thing we have to do is to remove the original parts from the Buggy car. More instructions can be found in Pi Car Project.
Pi Arduino communication
Install Arduino software on the pi and follow this useful website: Serial Communication.
Here is our results:
- Arduino communicated with Raspberry Pi
- Pi communicated with Arduino
In the end we try to use I2C communication:
Camera detection
(1st step) Make the car move
(2nd step) Make the car move stably
Servo
Run the car automatically
Line tracking
Combine everything together
- Description of each module of your project, and the solutions you designed to complete them.
- If you had to learn a new skill to solve a problem (e.g., how to install a particular API, how to communicate using Bluetooth, etc.), then you must create a new HowTo wiki page with a clear tutorial of what you learned.
Results
- Present all your results, including modules that only partially worked.
- Discuss how the results compare to your original objectives.
- Identify the critical decisions or factors in your project that stopped you from getting a better result (try to avoid obvious comments such as "we run out of time").
- Include a copy of the poster you used in your demonstration to help explain your results.