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XR-F1 Donkey Car Smart Robot Car Kit AI Self Driving Car Kit w/ 720P HD Camera Unfinished
Description:
Donkey car is an open source DIY self-driving RC car. It is based on the Raspberry Pi and Python. With a 720P HD camera, you make the car drive thru tracks manually. Autonomous driving is achieved by recording images and your inputs while you’re driving it, then it uses Tensorflow to learn from you. So you’re teaching the car to drive like you! Build your donkey car and race with the world!
Features:
- Adjustable Speed: It can change its speed autonomously and support speed changed manually.
- AI Self-driving Car: Based on the robot learning frame TensorFlow, it has improved its algorithm to make it smarter. It is developed based on the most popular programming language Python.
- 720P HD Camera: With adjustable focus, the camera offers clear images, requiring no drive.
- Self-Tracking: Get road information through the camera and save the car movement status. After training, the car can automatically run in the track according to the model structure
- More Application: With our board for Raspberry Pi, you can DIY your robotic car. You can turn it into a BT downloader, connecting to Internet and mobile hard disk. You can use it to built a smart home either.
- Long Service Life: It is built with stainless steel chassis and anti-crash wing guards prolong its life span.
- No more sensor needed
Self-Driving Steps:
- Firstly, drive the car manually to collect data for deeper learning. Please make sure that your smartphone support gravity sensor system. Use our software and in the operation interface, choose gravity sensor to finishing its training of tracking line.
- Secondly, deal with its training data. During the whole training, data such as pictures, throttle, angles will be stored in board for Raspberry Pi. Please copy those information into your computer. After coping with these data, copy your file into the board for Raspberry Pi. Then place the car in the track for self-driving.
- Thirdly, the camera helps automatic tracking line. The camera detects the routes and revise its way according to our specialized algorithm.
Introduction of PWR.A53 Robot Drive Expansion Board:
- NO.1: 74 Series Level Isolation Chip, L298P High-power Motor Driver Chip (4A, 46V Input)
- NO.2: 2-Way DC-DC Excellent Power Supply: SY8120ABC (2A Output, 18V Input); LM2596s-adj (3A Output, 40V Input)
- NO.3: 4-Way LED: 1*Red Indicator for Power Supply; 3*Blue Indicators (Connected to IO)
- NO.4: Preserved place for one piece of ID_EEPROM
- NO.5: 8-Way Servo Control Port: Powered by main board, it can drive 4-dof mechanical arm and 2-dof PTZ.
- NO.6: 5-Way Infrared Sensor Port: For functions including following, tracking line, and obstacle avoidance
- NO.7: 1-Way Ultrasonic Port: For functions such as detecting distances, obstacle avoidance, and walking through a maze
- NO.8: Other GPIO: 1*UART, 1*IIC, 3*LED Pins
- NO.9: Power Supply Port: 6-14V DC Plug (For Main Power Supply), 2-Pin Power Supply Terminal (External Power Supply for Motor <40V)
Specifications:
- Driving Power: Driven by Rear Wheels
- Steering Way: Via Servo
- Servo: 995 Large Servo with Plastic Gear
- Drive Board: For Raspberry Pi 3B+
- Unfinished: Yes. Assembling is needed
- Assembled Size: 180 x 300 x 180mm
- Weight: 0.9kg
Note:
- Self-assembling is needed. Thank you!
- Battery is not included in this package.