Abstract: The present disclosure is directed to an autonomous vehicle having a vehicle control system. The vehicle control system includes an image processing system. The image processing system receives an image that includes a light indicator. The light indicator includes an illuminated component. The image processing system determines a color of the illuminated component of the light indicator and an associated confidence level of the determination of the color of the illuminated component. The image processing system also determines a shape of the illuminated component of the light indicator and an associated confidence level of the determination of the shape of the illuminated component. The determined confidence levels represent an estimated accuracy of the determinations of the shape and color. Additionally, the image processing system provides instructions executable by a computing device to control the autonomous vehicle based on at least one of the determined confidence levels exceeding a threshold value.

Abstract: The present disclosure is directed to an autonomous vehicle having a vehicle control system. The vehicle control system includes an image processing system. The image processing system receives an image that includes a light indicator. The light indicator includes an illuminated component. The image processing system determines a color of the illuminated component of the light indicator and an associated confidence level of the determination of the color of the illuminated component. The image processing system also determines a shape of the illuminated component of the light indicator and an associated confidence level of the determination of the shape of the illuminated component. The determined confidence levels represent an estimated accuracy of the determinations of the shape and color. Additionally, the image processing system provides instructions executable by a computing device to control the autonomous vehicle based on at least one of the determined confidence levels exceeding a threshold value.

Abstract: An object access interface is described that effectively decouples a functional layer from a user interface (UI) layer. In the context of pre-existing functional objects that are specifically tailored to a pre-existing UI, a single entry point access-interface may define generic and object-specific functions. The function may be used to collect input routed to the associated function object, compile an input set in a form similar to how the pre-existing UI provided input sets, and process the compiled input and any resulting outputs from the function object.

Abstract: Aspects of the disclosure relate to determining whether a vehicle should continue through an intersection. For example, the one or more of the vehicle's computers may identify a time when the traffic signal light will turn from yellow to red. The one or more computers may also estimate a location of a vehicle at the time when the traffic signal light will turn from yellow to red. A starting point of the intersection may be identified. Based on whether the estimated location of the vehicle is at least a threshold distance past the starting point at the time when the traffic signal light will turn from yellow to red, the computers can determine whether the vehicle should continue through the intersection.

Abstract: An object access interface is described that effectively decouples a functional layer from a user interface (UI) layer. In the context of pre-existing functional objects that are specifically tailored to a pre-existing UI, a single entry point access-interface may define generic and object-specific functions. The function may be used to collect input routed to the associated function object, compile an input set in a form similar to how the pre-existing UI provided input sets, and process the compiled input and any resulting outputs from the function object.