Abstract: Various embodiments include methods and devices for implementing refining of user interface (UI) behavior. Embodiments may include creating a touch-profile of a touch-panel of a computing device from results of a self-diagnostic test measuring capacitance of capacitive sensors of the touch-panel, embedding the touch-profile in a framework of an operating system of the computing device, determining an unusable area of the touch-panel from the touch-profile, and determining a UI modification based on the unusable area of the touch-panel.

Abstract: Various embodiments include methods and devices for implementing refining of user interface (UI) behavior. Embodiments may include creating a touch-profile of a touch-panel of a computing device from results of a self-diagnostic test measuring capacitance of capacitive sensors of the touch-panel, embedding the touch-profile in a framework of an operating system of the computing device, determining an unusable area of the touch-panel from the touch-profile, and determining a UI modification based on the unusable area of the touch-panel.

Abstract: Aspects of the present disclosure involve systems, methods, and devices for determining reflectance properties of objects based on Lidar intensity values, A system includes one or more processors of a machine and a machine-storage medium storing instructions that, when executed by the one or more processors, cause the machine to perform operations comprising accessing an incoming data point output by a Lidar unit during operation of a vehicle. The operations may further include inferring, using a reflectance inference model, a reflectance value of an object based on the incoming data point. The reflectance inference model comprises a mapping of previously collected data points to a coordinate system using associated range values and raw intensity values. The operations may further include determining one or more characteristics of the object based on the inferred reflectance value.

Abstract: Aspects of the present disclosure involve systems, methods, and devices for determining reflectance properties of objects based on Lidar intensity values. A system includes one or more processors of a machine and a machine-storage medium storing instructions that, when executed by the one or more processors, cause the machine to perform operations comprising accessing an incoming data point output by a Lidar unit during operation of a vehicle. The operations may further include inferring, using a reflectance inference model, a reflectance value of an object based on the incoming data point. The reflectance inference model comprises a mapping of previously collected data points to a coordinate system using associated range values and raw intensity values. The operations may further include determining one or more characteristics of the object based on the inferred reflectance value.

Abstract: Aspects of the present disclosure involve systems, methods, and devices for determining reflectance properties of objects based on Lidar intensity values, A system includes one or more processors of a machine and a machine-storage medium storing instructions that, when executed by the one or more processors, cause the machine to perform operations comprising accessing an incoming data point output by a Lidar unit during operation of a vehicle. The operations may further include inferring, using a reflectance inference model, a reflectance value of an object based on the incoming data point. The reflectance inference model comprises a mapping of previously collected data points to a coordinate system using associated range values and raw intensity values. The operations may further include determining one or more characteristics of the object based on the inferred reflectance value.