Abstract:
A system and method for adapting a speech recognition and generation system. The system and method include providing a speech recognition and generation engine that processes speech received from a user and providing a dictionary adaptation module that adds out of vocabulary words to a baseline dictionary of the speech recognition and generation system. Words are added by extracting words that are encountered and adding out of vocabulary words to the baseline dictionary of the speech recognition and generation system.
Abstract:
A method and system for driver attention management system may include means for closed-loop diagnostics. A convenience message may alert a driver of an item of interest to the driver. A sensor may detect the driver's response to the convenience message. Based on the response to the convenience message, the characteristics of an attentive response from the driver may be determined. The determined attentive response may be used by a driver attention management system. The driver attention management system may be able to diagnose errors in the sensors that are used in the driver attention management system. The driver attention management system may also be able to determine whether a driver is exercising sufficient supervisory control of a vehicle by determining whether the driver is attentively responding to prompts provided by the driver attention management system. The driver attention management system may be used in an autonomous or semi-autonomous driving system.
Abstract:
Systems and methods are provided for vehicular computation management. The system includes, onboard a vehicle, electric control units (ECUs), a battery, a communication system, and a controller. The controller is configured to monitor energy consumption, operate the vehicle as a computational hub when the energy consumption is less than a threshold, including providing computational resources to an external node, determine whether the vehicle has excess energy and computational capacity when the energy consumption is equal to or greater than the threshold, including determining a usage of each of the ECUs and determining an energy consumption of tasks executing thereon, and operate the vehicle as a hybrid computational hub when the vehicle has excess energy and computational capacity, including providing excess computational capacity of the ECUs to the external node.
Abstract:
A method of retrieving a lost item from a compartment to an owner of the lost item is provided. The method comprises detecting the lost item in the compartment to define an item image of the lost item relative to the compartment, updating an inventory list of lost objects, and identifying at least one potential user of the lost item. The method further comprises providing notification to the at least one potential user and providing viewable access of the item image. The method further comprises verifying ownership of the lost item to define the owner of the lost item, determining a preferred pickup location for the owner, storing the lost item at the preferred location defining a stored item, and confirming identity of the owner for retrieval of the stored item at the preferred location. The method further comprises allowing access to the stored item from the preferred location.
Abstract:
A method of managing operator take-over of autonomous vehicle. The method includes gathering information on an external surrounding of the autonomous vehicle; analyzing the gathered information on the external surrounding of the autonomous vehicle to determine an upcoming traffic pattern; gathering information on an operator of the autonomous vehicle; analyzing the gathered information on the operator of the autonomous vehicle to determine an operator behavior; predicting an operator action based on the determined upcoming traffic pattern and the determined operator behavior; and initiating a predetermined vehicle response based on the predicted operator action. The predicting the operator action includes comparing the determined upcoming traffic pattern with a similar historic traffic pattern and retrieving a historical operator action in response to the similar historical pattern.
Abstract:
Systems and methods are provided for vehicular computation management. The system includes, onboard a vehicle, electric control units (ECUs), a battery, a communication system, and a controller. The controller is configured to monitor energy consumption, operate the vehicle as a computational hub when the energy consumption is less than a threshold, including providing computational resources to an external node, determine whether the vehicle has excess energy and computational capacity when the energy consumption is equal to or greater than the threshold, including determining a usage of each of the ECUs and determining an energy consumption of tasks executing thereon, and operate the vehicle as a hybrid computational hub when the vehicle has excess energy and computational capacity, including providing excess computational capacity of the ECUs to the external node.
Abstract:
Systems and methods are provided for vehicular computation management. The system includes, onboard a vehicle, electric control units (ECUs), a battery, a communication system, and a controller. The controller is configured to monitor energy consumption, operate the vehicle as a computational hub when the energy consumption is less than a threshold, including providing computational resources to an external node, determine whether the vehicle has excess energy and computational capacity when the energy consumption is equal to or greater than the threshold, including determining a usage of each of the ECUs and determining an energy consumption of tasks executing thereon, and operate the vehicle as a hybrid computational hub when the vehicle has excess energy and computational capacity, including providing excess computational capacity of the ECUs to the external node.
Abstract:
An autonomous driving system of a vehicle includes: an autonomous module configured to, during autonomous driving, control at least one of: steering of the vehicle; braking of the vehicle; and acceleration and deceleration of the vehicle; and a driving control module configured to: enable and disable autonomous driving; determine a future time for beginning a period of autonomous driving; and at least one of: selectively delay the beginning of autonomous driving to after the future time; and cancel the period of autonomous driving.
Abstract:
A method of monitoring a driver in an autonomous vehicle includes monitoring, with a driver monitoring system, a driver of a vehicle, collecting, with a data processor, data from the driver monitoring system related to gaze behavior of the driver, classifying, with the data processor, the driver as one of a plurality of driver statuses based on the data from the driver monitoring system, and sending, with the data processor, instructions to at least one vehicle system based on the classification of the driver.
Abstract:
A driver alert system for an automobile includes a global positioning system adapted to monitor a location of an automobile, and a processor adapted to receive data from the global positioning system, receive data of historical wildlife position and migration habits within a pre-determined range from the automobile, calculate a distance from the automobile to an area of wildlife activity as indicated by the data of historical wildlife position and migration habits within the pre-determined range from the automobile, and provide an alert to a driver of the automobile when the data of historical wildlife position and migration habits indicates wildlife movement within the pre-determined range of the automobile and the automobile is within a triggering distance of such wildlife movement.