From an AI perspective the described setup make sense. The human driver but not the computer controls the car which allows to drive the vehicle in the normal traffic. The only modification is, that all the actions are recorded, and maybe the face of the driver as well ... From the computational situation a real time recording of the traffic around the car is a demanding task. Highend equipment is needed which includes Lidar, some high resolution cameras, object detection algorithm and the trajectory tracker. Such a car will be equipped with a huge server rack at the backside and additional power supply is needed too.
This setup describes only the data recording, while the human driver is in control of the steering wheel. If the idea is to convert the rawdata into a self-driving car software many more effort is needed. In the easiest case the corpus of driving examples is analyzed by a team of phd students who are creating an LSTM neural network around the data which is able to control the TORCS simulator. If the project should become more reliable, the vehicle controller have to be grounded with natural language which results into long term planning like “crossroad ahead, drive slower”.