MULTIHEAD DEEP LEARNING MODEL FOR OBJECTS IN 3D SPACE

Systems and methods are presented herein for generating a three-dimensional model based on data from one or more two-dimensional images to identify a traversable space for a vehicle and objects surrounding the vehicle. A bounding area is generated around an object identified in a two-dimensional image captured by one or more sensors of a vehicle. Semantic segmentation of the two-dimensional image is performed based on the bounding area to differentiate between the object and a traversable space. The three-dimensional model of an environment comprised of the object and the traversable space is generated based on the semantic segmentation. The three-dimensional model is used for one or more of processing or transmitting instructions useable by one or more driver assistance features of the vehicle.