Abstract: Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

Abstract: A device for producing a triangular laser sheet. The device has an optical transmitter with a pair of plano-convex cylindrical lenses for circularizing infrared laser light and a plano-concave cylindrical lens for shaping the circularized light to produce a triangular laser sheet. A tilt sensor measures departure of the triangular laser sheet from a horizontal reference. The device projects a triangular sheet of infrared light that is useful for detecting over-height vehicles that are approaching a structure, such as a bridge.

Abstract: Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

Abstract: Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

Abstract: A device for controlling an autonomous vehicle includes a processor and a memory including instructions that, when executed by the processor, cause the processor to detect that the autonomous vehicle has one or more malfunctioning components and to determine, in response to the detection, a likelihood that the autonomous vehicle is able to reach a desired stop location based on one or more factors associated with the one or more malfunctioning components. The device determines at least one maneuver for the autonomous vehicle based on the likelihood, and causes the autonomous vehicle to perform the at least one maneuver.

Abstract: An autonomous vehicle or self-driving vehicle can protect persons from accidents. When the occupants of a vehicle exit the vehicle, those occupants can be endangered by the driving environment. Thus, while the occupants are outside the vehicle, the vehicle can continue to monitor the environment and provide warnings or intercept other vehicles or objects that may impact the occupants. Once all occupants have exited the vehicle, the vehicle's systems can continue to track each person around the vehicle and may engage, in limited maneuvers, to shield the pedestrians around the vehicle.

Abstract: The systems and methods described herein can be applied to a vehicle equipped with a sensor suite that can observe information about a user, for example, a driver or passenger, within a vehicle. The system can determine a action being conducted by a user or an event associated with the user. Then, the navigation system can augment or learn what type of route or conditions allows the user to conduct the action or event. From the learned information, the navigation system can determine a route that best assists with the action or event regardless of whether the route is the shortest or quickest. As such, the vehicle tailors the chosen navigation route based on the user's conditions or circumstances rather than the driving environment.

Abstract: A network crawler crawls one or more media sites to extract a plurality of titles for information contained in the one or more media sites. For example, the network crawler may extract the titles on the one or more media sites by identifying different computer formats and converting the titles in the different computer formats into a common computer format for comparison. User profiles which, includes user's interest are stored in a user profile interest database. A novel personalized news recommendation engine recommends news similar to the interest specified in a user profile, where maximum weighted matching is applied to score the similarity of news against user interest in the word2vec space.

Abstract: A device for producing a triangular laser sheet. The device has an optical transmitter with a pair of plano-convex cylindrical lenses for circularizing infrared laser light and a plano-concave cylindrical lens for shaping the circularized light to produce a triangular laser sheet. A tilt sensor measures departure of the triangular laser sheet from a horizontal reference. The device projects a triangular sheet of infrared light that is useful for detecting over-height vehicles that are approaching a structure, such as a bridge.

Abstract: Systems of an electrical vehicle and the operations thereof are provided that use object profiles to select autonomous vehicle operations, including acceleration rate, deceleration rate, steering angle, and inter-vehicle spacing.

Abstract: Autonomous systems, such as vehicles being operated in a self-driving mode, may allow for human occupants to be inattentive to the operation of the system. However, events may occur that require a human user to perform an action. Systems and method are provided that enable an autonomous system to determine whether the system requires, or will require, a user action and whether the user is or is not attentive. If an action is required and the human is not attentive, an alerting protocol is executed to cause the system to perform actions that enable the user to be alerted, such as to enable the, now attentive, user to be able to perform the action.

Abstract: Autonomous systems, such as vehicles being operated in a self-driving mode, may allow for human occupants to be inattentive to the operation of the system. However, events may occur that require a human user to perform an action. Systems and method are provided that enable an autonomous system to determine whether the system requires, or will require, a user action and whether the user is or is not attentive. If an action is required and the human is not attentive, an alerting protocol is executed to cause the system to perform actions that enable the user to be alerted, such as to enable the, now attentive, user to be able to perform the action.

Abstract: An autonomous vehicle or self-driving vehicle can protect persons from accidents. When the occupants of a vehicle exit the vehicle, those occupants can be endangered by the driving environment. Thus, while the occupants are outside the vehicle, the vehicle can continue to monitor the environment and provide warnings or intercept other vehicles or objects that may impact the occupants. Once all occupants have exited the vehicle, the vehicle's systems can continue to track each person around the vehicle and may engage, in limited maneuvers, to shield the pedestrians around the vehicle.

Abstract: A device for controlling an autonomous vehicle includes a processor and a memory including instructions that, when executed by the processor, cause the processor to detect that the autonomous vehicle has one or more malfunctioning components and to determine, in response to the detection, a likelihood that the autonomous vehicle is able to reach a desired stop location based on one or more factors associated with the one or more malfunctioning components. The device determines at least one maneuver for the autonomous vehicle based on the likelihood, and causes the autonomous vehicle to perform the at least one maneuver.

Abstract: Embodiments herein relate to an autonomous vehicle or self-driving vehicle. The level of comfort with autonomous driving offered to the user and the parameters of operation of the autonomous vehicle might increase or decrease a driver's comfort (anxiety) with the vehicle. Sensors in the vehicle can detect a user's driving style, comfort level and may propose an autonomy level to the user and/or parameters of operation.

Abstract: Systems of an autonomous vehicle and the operations thereof are provided. The vehicle can predict a user's trip using his or her history of past trips, the relevant context, and the current environmental conditions. The navigation system of the vehicle can use historical GPS data, defined by the sequence of position measurements, of a given vehicle to determine frequently visited locations. Then, the navigation system may augment the learned knowledge of frequently visited locations and routes with the relevant context and environmental conditions to make recommendations on the locations the user is most likely to visit and the route most likely to drive on. More specifically, the navigation system can automatically cluster historical trips by similarity (e.g., trips with similar contexts and/or environmental conditions), while identifying, mitigating, and/or eliminating the potential for statistical outliers (trips taken by a driver that are infrequent and thus less useful for predicting future trips).

Abstract: A network crawler crawls one or more media sites to extract a plurality of titles for information contained in the one or more media sites. For example, the network crawler may extract the titles on the one or more media sites by identifying different computer formats and converting the titles in the different computer formats into a common computer format for comparison. User profiles which, includes user's interest are stored in a user profile interest database. A novel personalized news recommendation engine recommends news similar to the interest specified in a user profile, where maximum weighted matching is applied to score the similarity of news against user interest in the word2vec space.

Abstract: Systems of an electrical vehicle and the operations thereof are provided. Electric vehicles may be routed from a start location to a destination through a network of charging stations explicitly considering time-varying uncertainty in both charging times, queueing times, and range. The routing objective may be a function of trip duration, electric vehicle state of charge at any time or location along the trip, uncertainty in the vehicle state of charge, the estimated trip duration, etc. Uncertainty in a distribution may be computed using an information-theoretic metric such as entropy. Waiting times may be estimated at an electric vehicle charging station given observed data for that station. An estimated waiting time at a charging station can be communicated directly to the owner of an electric vehicle owner or used to design a robust system for routing through charging stations.

Abstract: The systems and methods described herein can be applied to a vehicle equipped with a sensor suite that can observe information about a location, for example, a traffic light duration. The system can record information, e.g., the traffic light colors, duration of color changes, and location of the traffic lights and can upload this information to the cloud. Then, the system can augment or learn about the location, e.g., learning of traffic patterns, and store the augmented data as database-based information, where available. The learned information can help a requesting vehicle to better estimate an estimated time of arrival (ETA) for common routes taken, provide more accurate ETAs based on historical knowledge, and/or calculate or provide alternative route information.

Abstract: The systems and methods described herein can be applied to a vehicle equipped with a sensor suite that can observe information about a user, for example, a driver or passenger, within a vehicle. The system can determine a action being conducted by a user or an event associated with the user. Then, the navigation system can augment or learn what type of route or conditions allows the user to conduct the action or event. From the learned information, the navigation system can determine a route that best assists with the action or event regardless of whether the route is the shortest or quickest. As such, the vehicle tailors the chosen navigation route based on the user's conditions or circumstances rather than the driving environment.