首页>
外国专利>
METHODS AND SYSTEMS FOR TRAJECTORY FORECASTING WITH RECURRENT NEURAL NETWORKS USING INERTIAL BEHAVIORAL ROLLOUT
METHODS AND SYSTEMS FOR TRAJECTORY FORECASTING WITH RECURRENT NEURAL NETWORKS USING INERTIAL BEHAVIORAL ROLLOUT
展开▼
机译:使用惯性行为卷展处理经常性神经网络的轨迹预测方法和系统
展开▼
页面导航
摘要
著录项
相似文献
摘要
Systems and methods for forecasting trajectories of objects. The method includes obtaining a prediction model trained to predict future trajectories of objects. The prediction model is trained over a first prediction horizon selected to encode inertial constraints in a predicted trajectory and over a second prediction horizon selected to encode behavioral constraints in the predicted trajectory. The method also include generating a planned trajectory of an autonomous vehicle by receiving state data corresponding to the autonomous vehicle, receiving perception data corresponding to an object, predicting a future trajectory of the object based on the perception data and the prediction model, and generating the planned trajectory of the autonomous vehicle based on the future trajectory of the object and the state data.
展开▼