Abstract:
A system and method are provided for controlling an interior configuration of a vehicle following a collision. Sensor data that includes, or is derived from data that includes, data collected by one or more sensors is received, and a vehicle accident condition indicative of an accident having occurred is detected by processing the sensor data. After detecting the vehicle accident condition, an actuator component is caused to prevent a passenger from adjusting an interior vehicle component outside a predetermined range of physical configurations, while allowing the passenger to adjust the interior vehicle component within the predetermined range of physical configurations.
Abstract:
Systems and methods are provided for controlling operation of a vehicle. An example system for controlling operation of a vehicle includes one or more data collection components and one or more processors. The one or more data collection components are configured to collect data representative of a physical configuration of an interior vehicle component. The one or more processors are configured to access the collected data, determine, by processing the collected data, the physical configuration of the interior vehicle component, select a manner of operation based upon the determined physical configuration of the interior vehicle component, and cause the vehicle to operate according to the manner of operation.
Abstract:
Systems and methods are provided for dampening impact to a vehicle. The system may include a vehicle frame component; a plurality of adjustable exterior vehicle body components coupled to the frame component, wherein the vehicle body components are on different sides of a vehicle and are configurable to dampen an external force exerted on the vehicle; a plurality of actuator components configured to adjust physical configurations of the vehicle body components relative to the frame component; a component configured to collect data representing an external environment of the vehicle; and one or more processors configured to detect, by processing the data, an external driving condition, wherein the external driving condition is an impending collision between the vehicle and one or more objects external to the vehicle, and when the external driving condition is detected, cause the actuator components to correspondingly adjust the physical configurations of the vehicle body components.
Abstract:
A system and method for measuring a driver's actual driving behaviors (e.g., acceleration, deceleration) in a manual driving mode to determine their preferred driving style, and then causing an autonomous or semi-autonomous vehicle to operate itself, within limits, in accordance with the drivers' driving style when operating in a self-driving mode, thereby providing a more familiar and comfortable driving experience for the driver. Data is collected on the actual driving behavior, any pre-existing data is accessed on the actual driving behavior, and the collected data and the pre-existing data are combined. A custom control is then created based upon the combined data, and the custom control is applied to manage the self-driving behavior of the autonomous or semi-autonomous vehicle in a self-driving mode. Additional data continues to be collected on the actual driving behavior, and the custom control is adjusted based upon the collected additional data.
Abstract:
In a computer-implemented method, data about potential vehicle operator impairment is retrieved. The data is generated by monitoring a vehicle operator, the environment ahead of the vehicle, and/or force in one or more directions. A number of impairment scores are generated by analyzing the data about potential vehicle operator impairment. A specific time period during which the vehicle operator tends to be most impaired is determined based on the impairment scores. Recommendations to reduce operator impairment of the vehicle operator are identified and communicated to the vehicle operator.
Abstract:
Driving skill data is gathered with one or more accelerometers during a driving session of a first student driver, including one or more of acceleration data, braking data, or steering data and wherein the driving skill data includes one or more of a timestamp or location stamp. A driving session report is generated with a computer processor. The driving session report includes a calculation of one or more of a student driver acceleration skill score based on the acceleration data, a student driver braking skill score based on the braking data, or a student driver steering skill score based on the steering data and storing the one or more scores on a computer-readable medium. The driving session report is displayed. Driving skill data may be gathered and driving session reports may be generated for subsequent student drivers.
Abstract:
The method, system, and computer-readable medium facilitates monitoring a vehicle operator, the environment ahead of the vehicle, and/or forces acting on the vehicle during the course of vehicle operation to determine whether the vehicle operator is impaired (e.g., distracted, drowsy, intoxicated), alerting the vehicle operator when impairment is detected, and log data relating to vehicle operator impairment for further analysis. The method, system, and computer-readable medium may monitor the vehicle operator, the environment ahead of the vehicle, and/or forces acting on the vehicle using either or both of optical sensors or accelerometers. In particular, one optical sensor may monitor the vehicle operator to detect eye blinks, head nods, head rotations, and/or gaze fixation. Another optical sensor may monitor the road ahead of the vehicle to detect lane deviation, lane centering, and time to collision. The accelerometers may detect acceleration in the direction of vehicle travel and/or lateral acceleration.
Abstract:
Systems and methods relating to improving the experience of gig-economy workers are disclosed, with particular reference to gig-economy work involving vehicle use. During or after performance of gig-economy work, data automatically collected may be used to generate and present recommendations or education points to gig-economy workers. Such recommendations may include targeted alerts to notify gig-economy workers of high-demand situations or to coordinate between gig-economy workers and gig-economy customers. Alerts may be generated based upon current excess demand for gig-economy services, as well as gig-economy worker availability and preferences. For example, alerts may be generated in response to detecting emergency conditions in an area in order to mobilize a large number of gig-economy transportation service providers.
Abstract:
The following generally relates to using Augmented Reality (AR) to enhance pedestrian navigation. In some examples, AR techniques are applied to provide AR indications of a location of a group member that includes two or more AR devices. In these examples, AR techniques may be applied to determine a relative position of the group member and/or provide navigational guidance to the group member. In other examples, AR techniques are applied to provide AR-assisted pedestrian guidance. In these examples, AR techniques may be applied to present an AR display that includes information for a point of interest along a route.
Abstract:
The following generally relates to using Augmented Reality (AR) to enhance the in-vehicle experience. In some examples, AR techniques are applied to provide AR indications of vehicle safety indicia to alert vehicle occupants to information that may not otherwise be perceptible. In other example, AR techniques are applied to provide emergency vehicle warnings to improve the likelihood of safe responses thereto. In yet other examples, AR techniques are applied to generated personalized outdoor displays, for example, to ameliorate conditions that may impair safe operation of a vehicle.