After calibrating and validating the results of a rectified stereo pair, I found that the Raspberry Pi’s performance isn’t capable of running the script effectively. Running the rectification script on a very small image along with the StereoBM function was taking around 3 seconds to process each frame. This obviously wasn’t ideal since we couldn’t use a computer to do the calculation as it had to portable, so I decided to switch over to using an Arduino with an ultrasonic sensor.
The relative position of the cameras for the car collision project is absolutely essential in order to make sure we aren’t changing the parameters of our setup. In order to keep this factor constant before setup the depth map in our software, I wanted to make sure I had something to hold our cameras together. I was going to create my own holder but saw there was a plethora of available models out online specifically for the c270 camera. I decided to print them all out and give a run down about each one.
Continue reading Car Collision Prevention Project – Getting a Case to Hold the Cameras
The final set of parts for the crash prevention project have arrived. These parts deal more with the mechanical side of things and we’ll use them near the last phase of our project where we have to trigger a brake leaver to stop the car.
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.