Abstract: There are provided methods and systems for estimating the mass of occupants in a vehicle cabin comprising obtaining multiple images of the occupants, comprising a sequence of two dimensional (2D) images and three dimensional (3D) images of the vehicle cabin captured by an image sensor, applying a pose detection algorithm on each of the obtained sequences of 2D images to yield one or more skeleton representations of the occupants and combining the one or more 3D images of said sequence of 3D images with the skeleton representations of the occupants to yield skeleton models and analyze the skeleton models to extract one or more features of each of the occupants and further process the one or more extracted features of the skeleton models to estimate the mass of the occupants.

Abstract: There are provided methods and systems for estimating the mass of one or more occupants in a vehicle cabin comprising obtaining multiple images of the one or more occupants, comprising a sequence of 2D (two dimensional) images and 3D (three dimensional) images of the vehicle cabin captured by an image sensor, applying a pose detection algorithm on each of the obtained sequences of 2D images to yield one or more skeleton representations of said one or more occupants and combining the one or more 3D images of said sequence of 3D images with said one or more skeleton representations of said one or more occupants to yield skeleton models and analyze the skeleton models to extract one or more features of each of the one or more occupants and further process the one or more extracted features of the skeleton models to estimate the mass of the one or more occupants.

Abstract: There are provided methods and systems for estimating the mass of one or more occupants in a vehicle cabin comprising obtaining multiple images of the one or more occupants, comprising a sequence of 2D (two dimensional) images and 3D (three dimensional) images of the vehicle cabin captured by an image sensor, applying a pose detection algorithm on each of the obtained sequences of 2D images to yield one or more skeleton representations of said one or more occupants and combining the one or more 3D images of said sequence of 3D images with said one or more skeleton representations of said one or more occupants to yield skeleton models and analyze the skeleton models to extract one or more features of each of the one or more occupants and further process the one or more extracted features of the skeleton models to estimate the mass of the one or more occupants.

Abstract: Apparatuses, methods and storage media associated with an environment recognition system using SLAM pipeline with semantic segmentation are described herein. In some instances, the system is mounted on the body of the robotic apparatus, and includes one or more light sources, to illuminate a portion of an environment that surrounds the apparatus; a camera, to capture one or more images of the illuminated portion of the environment; and a processing device coupled with the camera and the light sources, to process the captured images, using semantic segmentation of the images applied in a SLAM pipeline. The processing is used to identify a position of the body of the apparatus, and/or a position of one or more objects disposed in the illuminated portion of the environment, based at least in part on a result of the processing of the one or more images. Other embodiments may be described and claimed.