Abstract: An embodiment of the present disclosure discloses a method for determining a collision risk state, an apparatus, an electronic device and a storage medium, wherein the method includes: determining first ego vehicle state information of a vehicle at a current time frame and first obstacle state information of an obstacle around the vehicle at the current time frame; predicting, based on the first ego vehicle state information, first position probability distribution information of the vehicle at a future time frame; predicting, based on the first obstacle state information, second position probability distribution information of the obstacle at the future time frame; and determining the collision risk state of the vehicle with the obstacle based on the first position probability distribution information and the second position probability distribution information corresponding to the future time frame.

Abstract: A system and method for improving accuracy of natural language processing using a plurality of speech recognition engines, a data fusion model to identify a correct result from the plurality of speech recognition engines and a semantic understanding model, separate and distinct from the speech recognition model, to process the correct results. A corpus is developed using the correct results and the corpus is used to train the data fusion model and the semantic understanding model.

Abstract: A system and method for improving accuracy of natural language processing using a plurality of speech recognition engines, a data fusion model to identify a correct result from the plurality of speech recognition engines and a semantic understanding model, separate and distinct from the speech recognition model, to process the correct results. A corpus is developed using the correct results and the corpus is used to train the data fusion model and the semantic understanding model.