Multiple Object Recognition and Depth Estimation from Stereo Images

The objective of this research was to develop a computer vision software to perform the calibration of a stereo camera system, to classify multiple objects in video frames using convolutional neural networks, to locate matching objects on image pairs, to calculate their distances to the stereo camera and to verify calculated values with measured values