BMW is expanding its image-data collection program in Europe, using customer cars on public roads to improve the performance of its driver assistance and partially automated driving systems. The Munich-based automaker first outlined the initiative in April, emphasizing that participation requires owner consent and that recordings are triggered only by specific driving situations. Now, the company has released further details on how the system operates and which models are involved.
The program, active in EU member states since April, covers vehicles built on BMW’s Neue Klasse architecture that are equipped with the necessary cameras, sensors, and computing hardware. This includes the new iX3 and i3, as well as the new-generation X5 and the 7 Series facelift. Future models are expected to join the data-gathering effort as they reach the market.
BMW’s approach is event-based rather than continuous. Recordings are initiated only when a predefined situation occurs, such as when an assistance system prevents a potential collision during a highway lane change, when the automatic emergency braking system activates, when the driver brakes particularly hard, or when the driver swerves suddenly to avoid an obstacle. In such cases, the vehicle captures video from its exterior cameras along with data from other environmental sensors, including speed, direction of travel, and steering angle. Each recording is limited to 120 seconds.
The company has sought to address privacy concerns through what it calls “privacy-by-design” measures. The vehicle identification number is deleted as soon as the data reaches BMW’s IT backend, making it impossible to link the information to a specific car. BMW also states that its systems do not identify individual road users. When employees need to access recordings for development purposes, faces and license plates of other road users are obscured before playback whenever technically possible.
The cameras naturally capture more than just the BMW itself, including other vehicles, pedestrians, cyclists, road signs, and the surrounding environment. BMW insists the goal is not to build a database of European roads or monitor individuals, but to teach its driver assistance systems how to handle real-world situations that are difficult to reproduce in laboratory testing. Real-world traffic is unpredictable, and customer cars encounter scenarios that engineers may never have anticipated, making the growing fleet of Neue Klasse vehicles a valuable source of information.
The initiative reflects the broader shift toward software-defined vehicles, where a car’s capabilities can evolve after leaving the factory. BMW says it can use the image and sensor data to further develop driver assistance and partially automated driving functions through machine learning, with improvements potentially delivered to customers via over-the-air software updates. In effect, a BMW owner’s driving data could help teach future BMWs to avoid accidents more effectively.