Abstract: Systems and methods for a vision-based machine learning model for aggregation of static objects and systems for autonomous driving. An example method includes obtaining images from image sensors positioned about a vehicle. Features associated with the images are determined, with the features being output based on a forward pass through a machine learning model. The features are projected into a vector space associated with a birds-eye view based on the machine learning model. The projected features are aggregated with other projected features associated with prior images. Images depicting static objects in the birds-eye view are output.

Abstract: A medical protective gown comprising a gown body. A centrally located orifice passes through a central region of a front panel of the gown body. A tubular protective sleeve extends forward from the front panel of the gown body, the tubular protective sleeve being located circumscribing the centrally located orifice. A tubular protective sleeve distal end panel is located at a distal end of the tubular protective sleeve. The tubular sleeve is adapted to receive a stethoscope or any other desired medical instrument. A broadened interior pocket is assembled to an interior surface of the gown body to support an upper, broader portion of the stethoscope or other instrument. A flange can be included with the tubular protective sleeve and/or the broadened interior pocket to aid in attachment to the gown body. The tubular protective sleeve can include a sleeve contraction system to contract the protective sleeve.