Machining is a fundamental processing capability critical to production of end-user goods and systems, as well as components used in virtually every industrial process. Machine tool programming to support these processes is critical for production and cost estimation. Unfortunately, currently available automated process planning methods constrain the process along geometrically simple trajectories due to computational constraints, this at the sacrifice of final processing efficiency.

To improve the current capabilities of automotive active safety control systems (ASCS) one needs to take into account the interactions between driver/vehicle/ASCS/environment. To achieve this goal, we are proposing a novel approach to collect data from a sensor-equipped vehicle. Motion Sensors (Inertial Measurement Units) are placed on various locations in the car, particularly around the driver’s operational environment and moving car components, such as steering wheel, seat, pedals, as well as critical car components (e.g. motor, suspensions).