In today's automotive landscape, vehicles are being equipped with more cutting-edge technology than ever before to ensure passenger safety. Millimeter wave radar enables detection through weather conditions like rain, snow, and fog. Although radar is effective in adverse weather, it struggles to distinguish objects when direct line of sight is impaired in dense, cluttered environments. To this end, an individual sensor can be integrated into a distributed network to boost its robustness and versatility. We demonstrate sensor fusion between a simple USB camera and a Texas Instruments multiple-input, multiple-output (MIMO) radar board. Computer vision techniques are used to perform real time object detection, while positional data collected by the radar board is superimposed onto the camera feed. Upon this, object tracking is executed with a multi-node system consisting of two radar nodes and a central server.