Abstract: A controller/application analyzes image data from a camera to determine the distance to an object in an image based on the size of the object in the image and based on a known focal length of a camera that captured the image and based on a known dimension of the actual object. The known dimension of the object may be retrieved from a database that is indexed according to outline shape, color, markings, contour, or other similar features or characteristics. The distance determined from analysis of the image and objects therein may be used to calibrate, or to verify the calibration of, complex distance determining systems that may include LIDAR. Object distance determinations in different image frames, whether to the same or different object, taken a known time apart may be used to determine speed of the camera that took the images, or speed of a vehicle associated with camera.

Abstract: Information generated by human behavior detection sensors (i.e., cameras, microphones, pressure sensors, wearables), and vehicle operational parameter information train a machine learning model to determine a driver's emotional state based on vehicle operational parameter information. The training information may be transmitted by a wireless device for each of a fleet of vehicles and their human driver during a training period.