Zevon EduBot
  • NVIDIA Jetson Nano Ackermann car | Supports DonkeyCar visual deep learning autonomous driving
  • NVIDIA Jetson Nano Ackermann car | Supports DonkeyCar visual deep learning autonomous driving
  • NVIDIA Jetson Nano Ackermann car | Supports DonkeyCar visual deep learning autonomous driving
  • NVIDIA Jetson Nano Ackermann car | Supports DonkeyCar visual deep learning autonomous driving
  • NVIDIA Jetson Nano Ackermann car | Supports DonkeyCar visual deep learning autonomous driving
  • NVIDIA Jetson Nano Ackermann car | Supports DonkeyCar visual deep learning autonomous driving
  • NVIDIA Jetson Nano Ackermann car | Supports DonkeyCar visual deep learning autonomous driving
  • NVIDIA Jetson Nano Ackermann car | Supports DonkeyCar visual deep learning autonomous driving
  • NVIDIA Jetson Nano Ackermann car | Supports DonkeyCar visual deep learning autonomous driving
  • NVIDIA Jetson Nano Ackermann car | Supports DonkeyCar visual deep learning autonomous driving

NVIDIA Jetson Nano Ackermann car | Supports DonkeyCar visual deep learning autonomous driving

Visual Deep Learning for Autonomous Driving in Practice: DonkeyCar Ackermann Vehicle Based on Jetson Nano

Color classification:
Red
Yellow
Blue
Package Category:
Spare parts(with map included)
Finished product(with map included)
Go to the main board(with a map included)

USD 483

output value: Monthly Output200

contact shop

Comprehensive teaching materials

Giving away book supplementary materials

====== 

                                                                                                                                                                                                                       

Finished product set, beautifully packaged in a gift box

The product has been tested before shipment, and can be used immediately upon receipt

======

Note: The spare parts do not come with a colorful box. However, a complimentary 2*3M training map is included



AI intelligent deep learning

Autonomous driving car

======


This is an autonomous line-following robotic car based on TensorFlow, an open-source algorithm library for Google's deep learning neural network. It utilizes the powerful open-source hardware NVIDIA Jetson as the main controller. It not only boasts a wealth of learning materials but also supports a variety of peripheral sensors and accessories, laying a solid foundation for learning robot programming,


What is JETSON?

======

NVIDIA Jetson is a world-leading AI computing platform for GPU-accelerated parallel processing in mobile embedded systems

The performance and energy efficiency provided by the NVIDIA® JetsonTM system can enhance the operational speed of autonomous robotic software while consuming less power. Each system is a complete System-on-Module (SOM) equipped with CPU, GPU, PMIC, DRAM, and flash memory, saving development time and money. Jetson also boasts scalability. Simply select the SOM that suits your application, and you can build a customized system based on it to meet specific application requirements.


Compatible with PWR.A53 robot driver expansion board

Implement more functions

======

① 74 series level isolation chip, L298P high-power motor drive chip (4A, 46V input range)

② Dual-channel DC-DC high-performance power supply: SY8120ABC

(2A output, 18V input range) LM2596s-adj (3A output, 40V input range)

③4-channel LED: 1 red power indicator, 3 blue LEDs connected to IO

④ Reserve a mounting position for an ID_EEPROM

⑤ 8-channel servo control interface: powered by the mainboard, capable of directly driving a 4-DOF robotic arm + a 2-DOF gimbal

⑥ 5-channel infrared sensor interface: capable of achieving functions such as following, line tracing, path following, and obstacle avoidance

⑦ Ultrasonic interface 1: capable of distance measurement, obstacle avoidance, maze navigation, and other functions

⑧ Other GPIO: UART "1, IC*1Ied corresponding pin *3

⑨ Power supply interface: 6-14VDC plug (main power supply connector), 2PIN power terminal (for separate external power supply to the motor <40V)


Product Analysis

======

① Feather antenna                              ② ETSONNANO board & self-developed driver board            ③Robot-Eyes 2nd generation 720P HD camera

④ Shiny black acrylic body           ⑤ High-torque servo motor          ⑥ DC gear motor       ⑦ Bream bat's head         ⑧ Steering structure

Name

Specifications

Name

Specifications

Overall dimensions

180*300*180mm

Power supply

12V 2200mAh

Power source

Rear-wheel drive

Steering mode

Steering of servo motor

Servo

995 large servo motor, plastic gear

Driver board

NVIDIA Jetson

Packaging

Kit assembly, DS box packaging

Weight

About 0.9kg


Powerful and widely used

======

Educational teaching aids for artificial intelligence in universities, and smart cars specially designed for racing competitions


Development tools, autonomous driving development models


The hardware is equally impressive

======


Unique steering structure,

easy to navigate corners

The aggressive front and rear wings ensure that overtaking is not a concern

720P high-definition camera,

easier to identify tracks


How does a robot learn in depth

======

Data collection →→→

Hardware camera

Image Processing →→→

Software opencV

 Feature training →→→ 

 TensorFlow software

  Generate driving model →→→ 

  TensorFlow


Multiple control methods

======

① Gravity sensing control on mobile devices      ② Gamepad control (only supported on PS4)      ③ Webpage control on computer


Accessories List

======

1. JETSONNANO motherboard

8. Wheel

 15. Metal wheel base shaft

 22. Charger

2. Power board

9. Multi-functional stand

 16. Left and right steering cups

 23. 16GB memory card

3. Sheet metal tray

10. Triangular steering vane

 17. Electric wire

 24. NVNO network card

4. Front and rear crash barriers

11. Cross socket

 18. Rudder and steering gear

 25. Antenna

5. JETSONNANO camera

12. Slotted & Phillips screwdriver

 19. Servo motor

 26. TF memory card reader

6. Acrylic upper plate

13. Short steering rod

 20. Motor


7. Camera bracket assembly

14. Long steering rod

 21. Lithium battery pack



———————————————————————————————————————————————————————————————


1. (M2.5*15+6)x8

    6. (M3*10, double-pass) x2

       11. (M2.5*16)x3

 16. (M2.5)x4

2. (M3*25+6)x4

    7. (M3*17, double-pass) x4

       12. (M3*10}x30

 17. (Locknut M4) x2

3. (Hexagonal socket coupling) x2

    8. (M3*35+6)x10

       13. (M3*20)x2

 18. (Locknut M3) x2

4. (Small bearing) x2

    9. (Short cable ties) *3

       14. (M3*258)x4

 19. (Locknut M2.5) x4

5. (Large bearing) x2

    10. (M2.5*6)x8

       15. (M3)x30



Our services

======

About express delivery
If there is a specific express delivery requirement, please contact customer service to confirm the shipping cost.

Gift materials
The product provides supporting information, which can be provided by contacting customer service after arrival.

Technical Support
Support technical support. If you have any functional questions, you can join the technical communication group

Our goal is to continuously improve our own technical capabilities and place greater emphasis on the customer's product experience.

Supplier Information

Email:ZevonEduBot@ttbridge.com

Tel:17734786008

Recommended products

JetBot AI Vision Robot Kit NVIDIA Jetson Nano Developer Kit AI Programming Learning Car

JetBot AI Visual Car Based on NVIDIA Jetson Nano: Hands-On Learning of Artificial Intelligence and Robotics Programming

collect:0