Abstract: A number of variations may include a method or system using human driving characteristics in autonomous vehicle driving method or system.

Abstract: A number of variations may include a system and method may include autonomous driving systems including an algorithm analyzing motion controller performance in real time with respect to a set of attributes. The system and method may include an algorithm monitoring conditions such as monitoring actuations, vehicle dynamics, vehicle operating environment, and vehicle capability. The system and method may include an algorithm evaluating said conditions to determine which controller is best suited to the current situation during live vehicle operations.

Abstract: A system and method of mu estimation may include the steps of collecting vehicle travel data on a road surface via a plurality of a sensors including at least one of an accelerometer or microphone; collecting external source data over a network; and aggregating the vehicle travel data and external source data to form an aggregated data set. The method may include performing feature extraction processing of the aggregated data set to transform the aggregated data set and into a processed aggregated data set; communicating the processed aggregated data set to a machine learning model; and generating at least one of an estimated mu value of the road surface or road surface classification via the machine learning model.

Abstract: A method for access to a vehicle includes receiving data from an identification device related to at least one device environment sensor of the identification device. At least one pattern associated with the received data is identified. An environment of the identification device based on feedback from the at least one device environment sensor is determined. The environment to the at least one pattern is compared. In response to the comparing step, access to the vehicle is allowed or denied.

Abstract: A method for access to a vehicle includes determining first environment patterns for a plurality of interfaces relative to a vehicle, determining whether the first environment patterns match second environment patterns for the plurality of interfaces relative to an identification device, and allowing access to the vehicle if a match is determined.

Abstract: A method for access to a vehicle includes receiving data from an identification device related to at least one device environment sensor of the identification device. At least one pattern associated with the received data is identified. An environment of the identification device based on feedback from the at least one device environment sensor is determined. The environment to the at least one pattern is compared. In response to the comparing step, access to the vehicle is allowed or denied.

Abstract: A method for access to a vehicle includes determining first environment patterns for a plurality of interfaces relative to a vehicle, determining whether the first environment patterns match second environment patterns for the plurality of interfaces relative to an identification device, and allowing access to the vehicle if a match is determined.

Abstract: A taxi or other vehicle summoned by someone who needs a ride can be remotely controlled to announce its presence by the person who summoned the taxi or other vehicle. Using a cell phone, a user establishes a wireless communications link between his or her cell phone and a cell phone in the taxi or other vehicle. A second wireless link between the taxi-located cell phone and the vehicle's control bus enables commands to be sent to the vehicle's horn, lights and other annunciators from the user's cell phone. Images of the requesting user can also be sent to the taxi-located cell phone.