The final part of the project demonstrates how we create image processing pipeline in Petalinux and create a Vitis Acceleration Platform.
With the hardware all verified as demonstrated in Part One. In this part we are going to look at getting our algorithms up and running
Initial project for the concept to prototype using the Ultra96V2. This project creates a MIPI image processing pipeline using baremetal
This step by step tutorial is on "how to design the VIVADO system and Petalinux System" for DPU 3.0 TRD for ZCU106 FPGA Boards/
The vehicles at present aren't smart. It sounds cool if it alerts when the vehicle comes close to others.
Remember Smartcar, the easy to use vehicle platform for your hobby-grade projects? It received an upgrade with ESP32 and custom chassis!
A project that uses Google Assistant to start a car using Macchina's M2 with SuperB wireless expansion module.
Control the position of the Servo motor with the Arduino and the potentiometer.
Ai based project
A complete car log on monitoring the steering wheel, air conditioning, and sound system levels. It is also a dryer machine alert.
AGL (Automotive Grade Linux) demos for 96Boards based on Dragonboard410c.
This post gives a general introduction of how to use deep neural network to build a self driving RC car.
This application can help to test self-driving model by using video. The developer also can use this tool to understand how the model works.
This post gives a brief introduction of how to visualize your self-driving model. it can be very helpful for the model debugging.
Automatic Parking System is an easy project. Information given below demonstrates how to code, connect the various components of the system.
Building a rain sensing alarm with Arduino.
Curious about autonomous driving, AI and neural networks? Build your own autonomous driving car and get your hands on these topics!
Detection of pedestrian while driving which are not in the line of sight of the driver by the micro-doppler signature generated by movement.
To extend our V2X ecosystem we are constantly adding entities. This time we added a truly crucial component: EV charging.
A Texas Instruments MSP430 designed to input driver data using ADC, handle logical faults, and output via CAN-Bus using SPI.
Use a smart battery charger on up to 6 batteries - wave your hand to turn display on and check charging.
How to transmit and receive high speed CAN or CAN FD messages using Raspberry Pi.
Bicycle with calories burned indicator system. Data will also be uploaded to cloud for analyzing the trends in terms of calories burned.
The robot tank learned to follow unmarked walkway using OpenCV and TensorFlow.