Abstract:
Disclosed are vehicle communications networks for adapting user information using crowd-sensed contextual data, computer-executable instructions for provisioning such content/information, and vehicles equipped with a telematics system for adapting driver information using contextual data from vehicle participatory sensing systems. A disclosed method for provisioning information to occupants of a motor vehicle includes determining trip characteristics, including vehicle and driver data, for a current trip of the vehicle, and determining trip characteristics for previous trips that correspond to the current trip. The vehicle's communications system receives, over a distributed computer network from a vehicle participatory sensing system aggregating data from participative vehicles, operational data for the current trip as sensed by the participative vehicles. The received operational data is analyzed with the current and previous trip characteristics to determine a predicted trip duration and/or a predicted trip route. An electronic user interface of the vehicle outputs the predicted trip duration and/or route.
Abstract:
Methods and systems are provided for a speech system of a vehicle. In particular, a method is taught for associating a speech utterance with a voice command in response to a failed voice control attempt followed by a successfully voice control attempt.
Abstract:
A system for identifying a location of a vehicle user following a collision event and a method of using the system that includes the steps of: receiving an indication of the vehicle collision event at a backend system, wherein the indication is displayed as a graphical user interface; receiving a command at the backend system using the graphical user interface, wherein the command is associated with identifying the location of the vehicle user at a vehicle; and transmitting the command to the vehicle for the vehicle to carry out the command.
Abstract:
A system and method for providing navigation routing options to a vehicle driver, including estimated fuel consumption and fuel cost. A server collects data from a large number of road vehicles driving different routes, where the data includes road grade, average speed, stop/start and acceleration/deceleration info and vehicle specifications, and the data is collected via a telematics or other wireless system. The server also receives map data, point of interest data and real-time traffic data from their respective providers. When a driver of a road vehicle requests navigation routing from a start point to a destination, the server provides multiple routing options including not only distance and time for each routing option, but also fuel consumption and cost. The estimated fuel consumption is computed using models based on the crowd-sensed data from the other vehicles driving the routes, where the models include a physics-based model and a machine learning model.
Abstract:
The present application generally relates communications and hazard avoidance within a monitored driving environment. More specifically, the application teaches a mechanism to monitor, identify and locating vulnerable road users in a hazard situation by receiving location and vector information from road users in an environment, determining the probability of a hazard situation arising in response to the location and vector information, and transmitting data to one or more road users in order to avoid the hazard situation.
Abstract:
An autonomous-driving vehicle system, for implementation at an autonomous-driving vehicle. The autonomous-driving vehicle system includes a hardware-based processing unit and a non-transitory computer-readable storage device comprising and input module and an activity module. The input module, when executed by the hardware-based processing unit, obtains input data indicating presence of a pedestrian communication device near the autonomous-driving vehicle. The activity module, when executed by the hardware-based processing unit: (i) determines, based on the input data, in a pedestrian-presence determination, that the pedestrian communication device is or will soon be near the autonomous-driving vehicle, and (ii) determines, based on the pedestrian-presence determination, an autonomous-driving action to be implemented by the autonomous-driving vehicle. In other aspects, the present technology relates to a method or a non-transitory computer readable storage device, for performing any of the operations described.
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:
Systems and methods for a vehicle including an eye tracking device. The systems and methods use input from the eye tracking device. The systems and methods are configured to communicate with a driver based on input from the eye tracking device. For example, the systems and methods are configured to generate indicators on a display based on input from the eye tracking device.
Abstract:
The present disclosure relates to a continuous sensory output system and haptic apparatus, including a processor and a computer-readable where the processor to performs operations including receiving a sensor signal containing a sensor data set, applying the sensor data sets to a filter of a software package to form a projection data set, delivering the projection data set to a controller to form an action data set, and performing the action data set to an implementation section to perform the sensory output. Also, disclosed are methods including receiving a sensor signal containing a sensor data set, applying the sensor data sets to a filter of a software package to form a projection data set, delivering the projection data set to a controller to form an action data set, and performing the action data set to an implementation section to perform the sensory output.
Abstract:
A method and system may manage the driver's attention while driving. The driver may be driving using an autonomous driving system or limited-ability autonomous driving system. A method may detect, by a sensor, characteristics of a driver; determine, based on the detected characteristics of the driver, whether the driver exercises sufficient supervisory control of the vehicle; and provide a series of one or more prompts, wherein each prompt's intrusiveness is related to the determination of whether the driver exercises sufficient supervisory control of the vehicle.