Lightweight Embedded Assisted Driving System
Project description
LEADS: Lightweight Embedded Assisted Driving System
LEADS is a system designed for VeC.
LEADS only supports two drive-wheel configurations: single rear wheel (SRW) mode and dual rear wheel (DRW) mode.
Python is generally not the best choice for writing embedded systems. We made this decision for the following reasons.
- Data analysis
- Short development cycle
- Official support for Raspberry Pi
- Low difficulty in getting started for team members
This project aims to implement the following features:
- A basic instrumentation system
- A basic communication system
- A basic control system
- A data recording system with the following components
- A speed recording system
- A G force recording system
- A GPS recording system
- A battery voltage recording system
- A control system with the following components
- DTCS (Dynamic Traction Control System)
- ABS (Anti-lock Braking System)
- EBI (Emergency Braking Intervention)
- ATBS (Automatic Trail Braking System)
The codes are never designed for average high school students to understand. You may find it hard to read the codes if you do not satisfy the following requirements of skills and knowledge.
- Advanced Python knowledge (you should be familiar with everything and even programming philosophy in Python)
- Solid knowledge of Physics (you should understand how a car moves in reality)
- Basic embedded development experience (Raspberry Pi, serial communication, PWM)
- Rich experience in Web development (React, NextJS, FastAPI, TCP/IP, sockets)
- Basic machine learning knowledge (linear regression, polynomial regression)
Installation
Note that LEADS requires Python >= 3.11.
pip install pysimplegui keyboard pyserial leads
numpy
will be automatically installed with leads
.
pysimplegui
, keyboard
, and pyserial
are optional.
If you need only the skeleton, run the following.
pip install leads
Verify
python -m leads_vec info
Quickstart
Main
python -m leads_vec run
Optional Arguments
Run the following to get a list of all the supported arguments.
python -m leads_vec -h
Specify a Configuration File
python -m leads_vec -c path/to/the/config/file run
If not specified, all configurations will be default values.
To learn about the configuration file, read Configurations.
Generate a Configuration File
python -m leads_vec -r config run
This will generate a default config.json
file under the current directory.
Register as a Systemd Service
python -m leads_vec -r systemd run
This will register a system service to start the program.
To enable auto-start at boot, run the following.
systemctl daemon-reload
systemctl enable leads_vec
Remote Controller
python -m leads_vec_rc
Go to the online dashboard https://leads-vec-rc.projectneura.org.
Register as a Systemd Service
python -m leads_vec_rc -r systemd
This will register a system service to start the program.
To enable auto-start at boot, run the following.
systemctl daemon-reload
systemctl enable leads_vec
Configurations
Type | Usage | Used By | Default | |
---|---|---|---|---|
srw_mode |
bool |
True : single rear wheel; False : dual rear wheel |
Main, Remote | True |
width |
int |
Window width | Main | 720 |
height |
int |
Window height | Main | 480 |
fullscreen |
bool |
True : auto maximize; False : window mode |
Main | False |
no_title_bar |
bool |
True : no title bar; False : default title bar |
Main | False |
refresh_rate |
int |
GUI frame per second | Main | 30 |
font_size_small |
int |
Small font size | Main | 8 |
font_size_medium |
int |
Medium font size | Main | 16 |
font_size_large |
int |
Large font size | Main | 32 |
font_size_x_large |
int |
Extra large font size | Main | 48 |
scaling_factor |
float |
A factor used to scale every component | Main | 1 |
comm_addr |
str |
Communication server address | Remote | "127.0.0.1" |
comm_port |
int |
The port on which the communication system runs on | Main, Remote | 16900 |
data_dir |
str |
The directory for the data recording system | Remote | "./data" |
enable_data_persistence |
bool |
True : enable data persistence; False : disable data persistence |
Remote | True |
Periodic Report
See reports.
Architecture
Remote Controller
Collaborations
Community
Issues
Our team management completely relies on GitHub. Tasks are published and assigned as issues. You will be notified if you are assigned to certain tasks. However, you may also join other discussions for which you are not responsible.
There are a few labels that classify the issues.
bug
reports a bugcode review
discusses a code review or commentdocumentation
suggests a documentation enhancementduplicate
marks that a similar issue has been raisedenhancement
proposes a new feature or requesthelp wanted
means that extra attention is needed to this issueinvalid
marks that the issue is in valid formatquestion
requests further informationreport
starts a periodic report discussiontodo
creates a new taskwontfix
marks that the issue is ignored
Label your issue with at least one of the labels above before you submit.
Projects
You can have a look at the whole schedule of each project in a timeline using the projects feature.
Code Contributions
Please fork the project into your repository. Before your pull request, make sure that you have tested all possible impacts on other parts of the project. If no certainty is assured, please reach out to our core team members to have official support.
Code Specifications
All code must be type-annotated and follow the Code Style Guide.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.