VEHICLE COLLISION RISK PREDICTION DEVICE AND METHOD

Disclosed is a vehicle collision risk prediction device and method. The device includes a perception component, a basic component, a prediction component, and a decision component. The perception component is configured to collect human, environment and vehicle related information. The basic component is configured to predict position parameters of an occupant from a current moment to a future moment according to scene parameters of a scene that the occupant is currently in. The prediction component is configured to predict reliability criteria of expectation parameters according to the scene parameters and expectation parameters when a hypothetical collision occurs. The decision component is configured to acquire the expectation parameters and the corresponding reliability criteria, assess a comprehensive collision risk while taking into account criteria of extreme values and change trends of predicted signals in the time domain, and output a control instruction. In this way, a command with explicit guidance may be sent for application scenarios such as a vehicle pre-warning during a pre-collision stage, pre-collision system activation, active intervention of an auxiliary/automatic driving system, ignition of an airbag controller during a collision stage, and driving risk evaluation and judgement.