Abstract: Systems and methods are disclosed for mapping lanes for use in vehicle navigation. In one implementation, at least one processing device may be programmed to receive navigational information from a first vehicle and a second vehicle that have navigated along a road segment including a lane split feature; receive at least one image associated with the road segment; determine, from the first navigational information, a first actual trajectory of the first vehicle and a second actual trajectory of the second vehicle; determine a divergence between the first actual trajectory and the second actual trajectory; determine, based on analysis of the at least one image, that the divergence between the first actual trajectory and the second actual trajectory is indicative of the lane split feature; and update a vehicle road navigation model to include a first target trajectory and a second target trajectory that branches from the first target trajectory after the lane split feature.

Abstract: A system and method are provided for determining a body position of an occupant form an image, based on the shape of the occupant and based on a visual surrounding of the shape of the occupant in the image.

Abstract: A method and system for determining a location of a sitting occupant in a space include detecting a sitting occupant in an image of the space and determining a location of the sitting occupant on a floor of the space in the image, based on a shape of the sitting occupant in the image. The location on the floor in the image can be transformed to a real world location.

Abstract: A method and system for determining occupancy in a space, include determining presence of an occupant in a space based a signal from a PIR sensor monitoring the space and on analysis of an image of the space. Assigning different weights to the PIR signal and image analysis enables controlling a device in the space differently.

Abstract: A method and system for computer vision based control of a device are provided in which a shape detection algorithm is applied on an image to identify in the image a finger positioned over or near a user's lips. A device may be controlled based on the detection of the shape, for example, a change of volume of an audio output of the device may be caused.