Abstract: This disclosure provides methods and systems for dynamically detecting and tracking objects in an environment of an autonomous vehicle. In some embodiments, the method comprises: receiving image data from sensors of the autonomous vehicle, the image data comprising a plurality of images representative of objects in a field of view of the autonomous vehicle; detecting the objects in the plurality of images through an object detector; generating image embeddings for the objects detected in the plurality of images; determining similarity scores of the image embeddings of the objects that are detected in images received from two or more different sensors; identifying the objects that are detected in the images received from the two or more different sensors as a candidate object for tracking, if the objects have a similarity score of the image embeddings equal to or greater than a threshold value; and initializing a track for the candidate object.

Abstract: A method includes identifying drugs to be dispensed from medication containers within filling cabinets in a pharmacy dispensing system. The drugs are automatically dispensed from the medication containers into pill containers. The method also includes determining a distribution parameter for the medication containers. The distribution parameter represents one or more of a quantity of the drugs that is dispensed or a limit on dispensing the drugs. The method also includes determining at least one allocation of the drugs in the medication containers that differs from a current allocation of the drugs in the medication containers, and changing the current allocation of the drugs in the medication containers to increase a distribution velocity at which the drugs are dispensed from the pharmacy dispensing system.