Smart BMS for Formula SAE EVs using BQ76PL455 & STM32. Ensures safe cell monitoring, balancing & CAN data—optimized for racing teams!
MeArm mounted on smart robot car controlled by 2 Arduino UNOs
A GPS tracker for your car, motorcycle, bike and flying saucer, with data storage and map visualization. Not too hard, but no easy either...
Reverse engineering CAN bus data from an EV.
An IT system that manages cars' access to a parking garage by using RFID technology.
Drives automatically or control it with browser (with video), Xbox One controller and speech. Run on MinnowBoard Quad with Windows IoT Core.
In this tutorial, we're going to get your plain old RC to be controlled by Android and give it some extra features!
The terrain vehicle which is managed with raspberry pi, arduino and controlled via android software.
Smart system for analyzing the driving skills of a person using IOT and Cloud Computing powered by Mediatek LinkIt One
This project aims at controlling a car through a trajectory traced by the user on a screen running windows or android
If you have this car, you will be able to avoid obstacles and follow the necessary lines to reach your destination and protect the distances
Got a spare NFC tag? I'll show you how to use it to trip a relay to do cool stuff like start a motorcycle or turn on a PS4
Let’s ship them all!
Model of a bumper car, self-driving (ATMEGA32U4 based)
No one has time to play hide and seek with lost/misplaced items, so let's get a robot to find them instead!
I am a student of grade 9. I have made this project for security and surveillance of vehicles from any part of the world.
The purpose of this project is to investigate the general tuning process required to use e85 fuel for extra power.
Monitors the temperature, voltage, and current of our high voltage battery that powers our car!
As part of UNC Charlotte's Formula SAE team, we built a race car to compete this May at the SAE National Competition in Brooklyn, Michigan.
To extend our V2X ecosystem we are constantly adding entities. This time we added a truly crucial component: EV charging.
A TinyML model will predict the driver braking pattern in speed breakers and potholes to evaluate the effective driving skills.
The presented robot captures line position with IR Sensors. If the robot get off the line it will U turn and back to the line again.
Area stepper motor on an electromagnetic lane. A basic physical working system hold and drives only based on electromagnetic forces. .
How to use the most advanced Ai /CV techniques combined with Arduino to create a fully self driving vehicle capable of driving on real roads
