The modern age of Information Technology (IT) and applied sciences enables everything to work fast and get organized. Before, marketing, logistics, entertainment, communication and transportation were only delivered manually. Most even have low trust and high doubts on technology use.
In the current millennium, there are suddenly high regards on its existence.
One of information technology's appealing applications is transportation. Before, humans were already blown away by manufacturing automotive and higher forms of navigating systems. We have never thought of advancing even further.
Not until these Cambridge researchers came into play. They were able to come up with a two-part software that will aid 'driverless cars' have a systematic vision while on the road. It's going to be a huge leap in the automotive industry!
In this online simulator, road views in images will be reassigned with a color-based label, so components will be emphasized.
This is how component sorting takes place. Elements were determined by color schemes. Those who have the access to the site can make this possible.
Categories in colors will be reflected finely according to the number of detected elements.
It is the one that will help determine user's location in real time; way better than the usual Global Positioning System (GPS). This was programmed by Cipolla and Kendall.
This image was deliberately labelled to enhance the way the assignment is done. Manual labeling also took place.
Minor issues were depicted from this image. Consistently, these errors are good feedback to further develop the accuracy of the pixel-base labeling.
With this kind of outcome, the image can be a basis to get rid of possible car-to-car-related commotions or accidents. This is awesome!