| 摘要 |
<p>The invention proposes a method for computationally predicting future movement behaviors of at least one target object, such as e.g. vehicle, comprising the steps of:
- Producing sensor data by at least one sensor physically sensing the environment of a host vehicle,
- computing a plurality of movement behavior alternatives of a target object sensed by the sensor(s), by predicting movement behaviors of the traffic target vehicle applying a context based prediction step using indirect indicators and/or indicator combinations derived from said sensor data,
wherein said context based prediction step uses a set of classifiers, each classifier estimating a probability that said sensed target object will execute a movement behavior at a time, wherein the probability is calculated based on a feature vector calculated for each classifier,
- validating the movement behavior alternatives by a physical prediction comparing measured points with trajectories of situation models and determining at least one trajectory indicating at least one possible behavior of the traffic participant, wherein the at least one movement behavior is a sub-set of the possible movement behavior alternatives, and
- estimating at least one future position of the traffic participant based on the at least one trajectory,
- outputting a signal representing the estimate future position.</p> |
