Pixel International Conferences

With the development of machine learning and artificial intelligence operators especially self-sustained devices and autonomous machines are undeniably going to play a vast role in our daily lives. Therefore it is essential for especially pre-college students to start adapting to ongoing innovations. For my case, as a highschool student, 5 months into of learning and practicing programming, I started working with a sensor called “vision sensor”. The sensor is a camera which is used to create input to microcontrollers like other digital sensors and with appropriate coding it can be configured as an image processor, by interpreting and analyzing given data and considering all its possible outcomes. Furthermore, when I realized that this sensor could be the actual basis of a self-driving car, I started to consider this essential question, “How will a driverless car respond to different road conditions?”. Hence, I conducted some experiments to replicate this system. At first, I wrote a code for the sensor which could determine the location of a white tape, referring to the white lanes in highways, and placed the camera in the exact center of the robot. Therefore, made it possible for the robot to follow the tape while staying centered on the “road”. Later on, I sticked a slightly oblique tape to the floor, and the robot was supposed to move with the tape in a synchronized motion.  After the success of these experiment, I decided to try it on some other surfaces with different frictions and color codes applied, to see if it affected my results. For example, I tried it on a glass and on a slightly rocky surface to better grasp the consequences in every situation, just like driverless cars themselves. To enhance my experiment, I added a distance sensor, which is capable of measuring the distance of an object in front of it. This sensor majorly helped me to slow down and at some point stop the robot when there is an obstacle in its way, to avoid any collision using the mathematical function I created. Thus, this experiment can be considered as an attempt for solving futuristic problems. In addition to the representation of this study with algorithms and source codes with the physical and mathematical background on a poster study, an exact demonstration will be possible at the conference meeting.

Keywords: Self-driving cars, Programming, Sensors;

References:

[1] Haydin, Victor. “How Machine Learning Algorithms Make Self-Driving Cars a Reality | Intellias Blog.” Intellias, 17 Jan. 2019,
[2] “New Battery Technology Could Lead to Self-Powered Devices.” AENews,
[3] Waters, Carlos. “Road Diets: Designing a Safer Street.” Vox, Vox, 25 July 2018,