Our purpose is to understand how the multimedia system can use in our real world and use technology in our daily life special in vehicles. Firstly, we need to do some basic research on which multimedia system is using on the Picar, and to understand how the system is used for the robot car.

We bought the Picar from Amazon, and before we install the software and build the system we must assemble the Picar completely and test it to make sure everything is assembled correctly.

This week we need to install that support application and python library on both computers. For example, we need to install OpenCV and Numpy library to let the Picar allow us to write a function that makes the camera track the object and detecting the real-world environment.

This week we test out the ultrasonic sensor and use it to control the Picar keep in a good distance between the object and itself.

This week we try to use the camera and OpenCV to track the object and control the Picar to follow the object.

This video shows demonstration of PiCar. We introduced the background information and code details in this video and we hope you can enjoy this video! To watch it, please click "Click me" button.

This code is provided by Adeept Company. And it supports mainframe programming of Python code and a precise GUI program.

This code is created and modified by our team. And this code is to use LED light to simulate Morsa code.

This final report shows whole prcess of our research, and all findings after exploring PiCar. We also hope that the comparison and analysis of different obstacle detection methods can help us to get a deep understanding of obstacle avoidance techniques for the autonomous driving model.