| 摘要 |
A driven vehicle receives position data of a subject vehicle nearby the driven vehicle, and associates the position data of the subject vehicle with a driving model. The driving model is updated by incorporating latest position data of the subject vehicle, and a future position of the subject vehicle is predicted using the updated driving model. The predicted future position of the subject vehicle can be transmitted to other processing systems of the driven vehicle, including a collision avoidance or warning system, which provides a driver notification, and an autonomous driving system, which provides vehicle actuation. A determination is made as to whether the position data of the subject vehicle fits a currently stored and available driving model, and generates a new driving model no model fits. The new model is a multi-mode predictive state representation (MMPSR) which marginalizes unknown modes of history. |
