To get distances to objects, there are one of two options, either use sizes of known objects such as car widths or license plates or use a disparity mapping. I decided to start working on the disparity approach which gives a new image of far and near objects, without an exact distance.
After playing around with tinkerOS I decided to give the Raspberry Pi 3b a try and see if I liked it any better. For some reason I did and have decided to use it as the board for the rest of the project.
After putting a lot of thought into what parts we need for the Crash Prevention Project, we decided on the following parts. Although we could have gotten better parts, we were restricted by budget and time which is the main factor that went into deciding which parts to get.
My senior design project as an electrical engineering student is to build a system that prevents car collisions. It started off as a very simple project that alerts drivers if they’re approaching an object quickly but grew into a big project that involves advanced image processing and interviewing to prevent crashes.