Jetson Nano JetRacer is an autonomous AI racing car powered by NVIDIA Jetson Nano by interactive programming via web browser. It allows high frame rate processing due to torch2trt(PyTorch to TensorRT translator) optimizing, so that faster autonomous line following driving can be easily achieved.
JetRacer AI Kit also supports DonkeyCar Open Sourse Projetct. DonkeyCar utilizes deep learning neural network framwork Keras/TensorFlow, together with computer vision library OpenCV, to achieve self driving
Highly Integrated JetRacer Expansion Board: Rechargeable, Battery Voltage Detection, No Messy Wiring, Simple Assembly
IMX219 Camera Sensor: 3280×2464 Resolution, 8MP 160 Degree FOV wide angle
Dual Mode Wireless NIC AC8265: high speed WIFI Connectivity, stable bluetooth communication, low latency
Multiple Control Method: wireless gamepad controlling, PC web or mobile page controlling
Race Track Map Image: Provides digital 3mX2m large size track map image for your convenience
Motor: 37-520 motor,1:10 reducation rate, 12V voltage, 740RPM idle speed

Features

• Support three 18650 batteries (not included), 7800mAh large capacity, up to 12.6V output, stronger motor power.
• On-board S-8254AA + AO4407A Li-ion battery protection circuit, with anti-overcharge, anti-over-discharge, anti-over-current and short-circuit protection functions.
• Onboard APW7313 voltage regulator chip, which can provide stable 5V voltage to Jetson Nano.
• Onboard TB6612FNG dual H-bridge motor driver chip can drive the left and right two motor work.
• Onboard 0.91″ 128×32 resolution OLED, real-time display of car IP address, memory, power, and other conditions.
• Onboard INA219 acquisition chip, convenient for real-time monitoring of battery voltage.