Faster, Stronger, JetRacer Pro!
— High Speed AI Racing Robot Powered By Jetson Nano, The Professional Version
Base on the N-VIDIA Jetson Nano Module
Jetson Nano is a small, powerful AI computer, which delivers 472 GFLOPS for running modern AI algorithms fast, with a Cortex-A57 CPU and a 128-core Maxwell GPU.It is widely used for deep learning, computer vision, GPU computing, multimedia processing,and much more. Many popular AI frameworks are supported, such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, and MXNet, etc. This product provides two version options: N-VIDIA Jetson Nano Developer Kit (B01) and Waveshare Jetson Nano Dev Kit.
Jetson Nano Developer Kit (B01) is the official N-VIDIA kit with a variety of onboard interfaces including the 40PIN GPIO expansion header, Gigabit Ethernet port, USB 3.0 ports, HDMI port, DIS port and CSI camera connector, meet the needs of various applications.
Waveshare Jetson Nano Dev Kit is the alternative solution of B01 kit, with the Jetson Nano B01 eMMC version module and the Waveshare JETSON-IO-BASE-A carrier board, providing almost the same performance and appearance as the Jetson Nano Developer Kit (B01). The B01 kit on board is a non-production specification Jetson Nano module, mainly for development and software testing, while the Jetson Nano B01 eMMC version is more suitable for users to integrate in production environments.
Note: the Jetson Nano Dev Kit is optional.Kit Selection
| Kit | A | B | Accessories Pack |
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Necessary accessories JetRacer Pro expansion board, On-road chassis, IMX219-160 Camera, Wireless-AC8265, cooling fan, gamepad, power adapter, etc. |
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| 64GB TF Card | √ | √ | |
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N-VIDIA kit: Jetson Nano Developer Kit (B01) |
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Waveshare Jetson Nano Dev Kit: The Jetson Nano module, JETSON-IO-BASE-A carrier board and N-VIDIA official heatsink |
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* Please refer to the part list for detailed package content.
High Performance Autonomous AI Racing Car
Higher Performance Chassis, Faster Racing Speed
Interactive Webpage Programming, High Frame Rate Processing Through Torch2trt (PyTorch To TensorRT Translator) Optimizing, Easy To Achieve Faster Autonomous Selft Driving
Suitable For High School AI Teaching / Professional Racing
DonkeyCar Open Source Project
Deep Learning Self Driving Car
JetRacer Pro Also Supports DonkeyCar Open Source Project. DonkeyCar Utilizes Deep Learning Neural Network Framework Keras/TensorFlow, Together With Computer Vision Library OpenCV, To Achieve Self Driving.
JetRacer Pro Expansion Board Highly Integrated
Rechargeable, Battery Voltage Monitor, No Messy Wiring, Simple Assembly
SAFETY CAUTIONS
- Li-ion and Li-po batteries are quite unstable. They may cause fire, personal injury, or property damage, if they're not properly recharged or used.
- Do not reversely connect the polarities when recharging or discharging the battery. Do not use inferior charger/charging panel to recharge the battery.
- Do not mix use old batteries with new ones, avoid using batteries of different brands.
- When buying Lithium battery, should always make sure the battery specification is compatible with the expansion board. Choose batteries from formal manufacturer, and ensure the batteries will work stably and safely by aging test.
- Lithium batteries have limited cycle life, they will also deteriorate as time goes by. Should be replaced with new ones when the batteries reaching their max cycle life, or working over two years, whichever comes first.
- Should be placed carefully and properly, keep it away from inflammables and explosives articles, away from children, avoid any safety accident caused by careless storage.
8MP 160° FOV Camera
IMX219 High Quality Sensor, 3280×2464 Resolution
Dual-Band Wireless AC8265
High Speed WiFi, Stable Bluetooth Communication, Low Latency
Multiple Teleoperation Method
Extra Free Track Map
Delivered With 3m×2m Large Size Track Map For Your Convenience
Jetson AI Robot Selection Guide
| JETBOT ROS | JETRACER ROS | JETBOT | JETRACER | JETRACER PRO | ||||||
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| KIT | A | B | A | B | A | B | A | B | A | B |
| CONTROLLER* | B01 | WS 4GB | B01 | WS 4GB | B01 | WS 4GB | B01 | WS 4GB | B01 | WS 4GB |
| MICROCONTROLLER | RP2040 | N/A | ||||||||
| INTELLIGENT SPEECH | Double Speakers Dual Microphones Support Intelligent speech |
One Speaker Dual Microphones Support Intelligent speech |
N/A | |||||||
| SENSOR | IMU Sensor RPLIDAR A1 |
N/A | ||||||||
| MAPPING NAVIGATION | Support | Not Support | ||||||||
| CAMERA | 8MP HD resolution, 160° FOV wide angle camera | |||||||||
| OLED | 0.91" 128×32 pixels | |||||||||
| WIRELESS | AC8265 wireless NIC, 2.4G/5G dual-band WiFi, Bluetooth 4.2 | |||||||||
| DRIVING TYPE | Differential 2WD | Ackerman steering Dual gearmotor rear wheel drive |
Differential 2WD | Ackerman steering Dual gearmotor rear wheel drive |
Ackerman steering High speed motors 4WD Front and rear axle differentials |
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| SHOCK ABSORBER | N/A | Adjustable oil-filled shocks 4WD independent suspension |
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| POWER SUPPLY | 12.6V, 18650 battery × 3 (connected in series) |
8.4V, 18650 battery × 4 (two in parallel, two in series) |
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| Note: the 18650 batteries are NOT included. | ||||||||||
| MOTOR | 37-520 Metal Encoder Motor Reduction Rate 1:30 Idle Speed 333RPM |
TT motor Reduction rate 1:48 Idle speed 240RPM |
37-520 DC gearmotor Reduction rate 1:10 Idle speed 740RPM |
RC380 high speed carbon brushed motor Idle speed 15000RPM |
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| MOTOR ENCODER | AB phase Hall encoder | N/A | ||||||||
| SERVO | N/A | 9kg/cm torque | N/A | 9kg/cm torque | 6kg/cm torque | |||||
| CHASSIS | Aluminum alloy chassis | Quality rugged plastic chassis | ||||||||
| CRASHPROOF | N/A | Front sponge | N/A | Front sponge | ||||||
| PROGRAM LIBRARY | JetBot, ROS | JetRacer, DonkeyCar, ROS | JetBot, ROS | JetRacer, DonkeyCar | ||||||
| SUGGESTION |
ROS series Entry level Experienced programming skill required |
Entry level Basic programming skill required |
Competition level Experienced programming skill required |
High speed competition level Experienced programming skill required |
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| NOTE |
*Controller: BO1 stands for Jetson Nano Developer Kit (B01) controller, with 4GB RAM WS 4GB stands for Jetson Nano Module + Waveshare carrier board, B01 compatible, with 4GB RAM |
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Resources & Services
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