Abstract: An ego-vehicle for displaying a behavior of a target object in a spatio-temporal manner may include one or more processors. One or more memory modules are communicatively coupled to the one or more processors. A display is communicatively coupled to the one or more processors. One or more sensors are communicatively coupled to the one or more processors. Machine readable instructions are stored in the one or more memory modules and cause the one or more processors to display on the display an object indicator associated with a position of a target object relative to the ego-vehicle, wherein the object indicator depicts a spatio-temporal patterning indicating the behavior of the target object.

Abstract: A computing system for a vehicle includes one or more processors for controlling operation of the computing system, and a memory for storing data and program instructions usable by the one or more processors. The one or more processors are configured to execute instructions stored in the memory to determine required driver behaviors, determine a persistent sound indicative of the required driver behaviors, and generate a notification including the sound.

Abstract: Arrangements described herein can display a set speed deviation for a vehicle using spatiotemporal patterns. A set speed and an actual speed for a vehicle can be acquired. A deviation between the set speed and the actual speed of the vehicle can be determined. Responsive to determining the deviation between the predetermined set speed and the actual speed, a spatiotemporal pattern can be displayed within the vehicle. The spatiotemporal pattern can indicate to a user the deviation between the set speed and the actual speed via the spatiotemporal pattern. In one or more arrangements, the spatiotemporal pattern can be a repeating wave pattern.

Abstract: A vehicular haptic feedback system includes a haptic feedback controller configured to communicate with a vehicle. The haptic feedback controller including a plurality of haptic feedback actuators and processing circuitry configured to detect quality of operation information of the vehicle, a direction and an intensity of threat information corresponding to the vehicle, and a mode of operation of the vehicle. The haptic feedback controller is also configured to determine a desired direction of travel of the vehicle based on the quality of operation information, the direction and the intensity of threat information, and the mode of operation. The haptic feedback controller is further configured to provide haptic feedback corresponding to the quality of operation information, the direction and the intensity of threat information, the mode of operation and the desired direction of travel of the vehicle, via the plurality of haptic feedback actuators.

Abstract: The autonomous vehicle visual language system displays a plan sentence to an operator of an autonomous vehicle. The plan sentence includes visual syntax, the visual syntax being images displayed in predetermined configurations to convey specific information associated with any maneuvers the autonomous vehicle plans to execute. The visual syntax allows for a structured layering of information such that the plan sentence can display more complex information. The operator of the autonomous vehicle can process individual warnings and information more quickly, even when the operator has never seen a particular warning or element of information before. Additionally, the system 100 allows for personalization of a driver model to more closely reflect the operator's driving style, which is then implemented in the visual language displayed as the plan sentence.

Abstract: A vehicle subject to autonomous operation includes one or more autonomous support systems configured to support autonomous operation, a feedback system configured to provide feedback in an interior portion of the vehicle and a confidence appraisal system in communication with the one or more autonomous support systems and the feedback system. During autonomous operation, the confidence appraisal system monitors, based on operational statuses of the one or more autonomous support systems supporting the autonomous operation, confidence in the autonomous operation, and operates the feedback system to provide feedback in the interior portion of the vehicle. The feedback corresponds to the confidence in the autonomous operation, and varies with changes to the confidence in the autonomous operation, to continuously apprise a driver of the confidence in the autonomous operation.

Abstract: A navigation apparatus for an autonomous vehicle includes circuitry configured to receive at least one route between a start location and a destination, display the at least one route on a first screen that allows selection of a first set of routes from the at least one route, receive a plurality of characteristics corresponding to each of the at least one route. Each characteristic of the plurality of characteristics is associated with a measure and a longest block within which each characteristic can be performed continuously. The circuitry further configured to divide a route of the at least one route to generate a plurality of segments based on the plurality of characteristics, and display the first set of routes, the plurality of characteristics corresponding to the first set of routes, the measure and the longest block corresponding to the plurality of characteristics on a second screen.

Abstract: A navigation apparatus for an autonomous vehicle includes circuitry configured to receive at least one route between a start location and a destination, display the at least one route on a first screen that allows selection of a first set of routes from the at least one route, receive a plurality of characteristics corresponding to each of the at least one route. Each characteristic of the plurality of characteristics is associated with a measure and a longest block within which each characteristic can be performed continuously. The circuitry further configured to divide a route of the at least one route to generate a plurality of segments based on the plurality of characteristics, and display the first set of routes, the plurality of characteristics corresponding to the first set of routes, the measure and the longest block corresponding to the plurality of characteristics on a second screen.

Abstract: A lane identity in a roadway in which a vehicle is traveling can be determined. The roadway can include a plurality of lanes. The determining can include generating a lane identification confidence belief indicating a probability that the vehicle is in a particular lane of the plurality of lanes of the roadway. Generating the lane identification confidence belief can be based on: any detected lane crossings, the number of lanes in the roadway, the lane marker type to a left side and to a right side of the vehicle at the current position of the vehicle or ahead of the current position of the vehicle in a forward direction of travel of the vehicle, and a weighted average of an instantaneous lane identification confidence belief and a lane identification confidence belief prior to a current sample time period.

Abstract: A method and apparatus for determining a lane identity of a vehicle travelling in a roadway where the roadway contains a plurality of lanes is determined based on information from sensors associated with the vehicle and map data for detecting the lane marker type to a left side and right side of the vehicle, any lane crossings during travel of the vehicle along the roadway, a history of lane marker type up to a predetermined travel distance along the roadway, and the lane marker type at the instantaneous position of the vehicle in the roadway. The lane identity method and apparatus outputs a confidence belief identifying the probability that the vehicle is traveling in one particular lane of the roadway.

Abstract: A least restrictive allowable driving state of a semi-autonomous driving system is determined based on one or more threats and sensor performance. A current driving state and a future driving state are determined based on an attention state and a steering state of a driver. Warnings are provided to the driver in order to match the current driving state to the future driving state. Driver interaction and attention are enforced when the driver does not respond to the warnings.

Abstract: A human machine interface (HMI) can communicate warnings and messages to a driver by selecting among a variety of warning devices based on information related to the driver's viewing angle. The variety of warning devices can include a primary-visual warning device (e.g., a heads up display), secondary-visual warning devices (e.g., an instrument cluster or a navigational screen), a portable device (e.g., a tablet or a cellular phone), an audio system, or a haptic device. The HMI apparatus displays warnings on visual warning devices within the driver's view, can signal an active portable device to output a warning. Visual warnings can include directional cues. Audio warnings may accompany the visual warnings, and can be output with greater intensity when no visual devices are within the driver's view.

Abstract: A human machine interface (HMI) can communicate warnings and messages to a driver by selecting among a variety of warning devices based on information related to the driver's viewing angle. The variety of warning devices can include a primary-visual warning device (e.g., a heads up display), secondary-visual warning devices (e.g., an instrument cluster or a navigational screen), a portable device (e.g., a tablet or a cellular phone), an audio system, or a haptic device. The HMI apparatus displays warnings on visual warning devices within the driver's view, can signal an active portable device to output a warning. Visual warnings can include directional cues. Audio warnings may accompany the visual warnings, and can be output with greater intensity when no visual devices are within the driver's view.

Abstract: A method and apparatus for determining a lane identity of a vehicle travelling in a roadway where the roadway contains a plurality of lanes is determined based on information from sensors associated with the vehicle and map data for detecting the lane marker type to a left side and right side of the vehicle, any lane crossings during travel of the vehicle along the roadway, a history of lane marker type up to a predetermined travel distance along the roadway, and the lane marker type at the instantaneous position of the vehicle in the roadway. The lane identity method and apparatus outputs a confidence belief identifying the probability that the vehicle is traveling in one particular lane of the roadway.

Abstract: A controller for predicting cruising speeds of a vehicle includes a processor and an extracting unit to extract feature data from segments of a prior trajectory of the vehicle, the feature data including cruising speeds of the vehicle and predictive feature data. The controller also includes a model generator to generate a probabilistic model associating the predictive feature data with the cruising speeds of the vehicle and a predicting unit to predict a cruising speed of the vehicle for a target segment, which is an upcoming cruising segment of the vehicle, by conditioning the probabilistic model on real-time predictive feature data of segments of a current trajectory.

Abstract: Systems and methods for estimating local traffic flow are described. One embodiment of a method includes determining a driving habit of a user from historical data, determining a current location of a vehicle that the user is driving, and determining a current driving condition for the vehicle. Some embodiments include predicting a desired driving condition from the driving habit and the current location, comparing the desired driving condition with the current driving condition to determine a traffic congestion level, and sending a signal that indicates the traffic congestion level.

Abstract: A controller for predicting cruising speeds of a vehicle includes a processor and an extracting unit to extract feature data from segments of a prior trajectory of the vehicle, the feature data including cruising speeds of the vehicle and predictive feature data. The controller also includes a model generator to generate a probabilistic model associating the predictive feature data with the cruising speeds of the vehicle and a predicting unit to predict a cruising speed of the vehicle for a target segment, which is an upcoming cruising segment of the vehicle, by conditioning the probabilistic model on real-time predictive feature data of segments of a current trajectory.

Abstract: Systems and methods for estimating local traffic flow are described. One embodiment of a method includes determining a driving habit of a user from historical data, determining a current location of a vehicle that the user is driving, and determining a current driving condition for the vehicle. Some embodiments include predicting a desired driving condition from the driving habit and the current location, comparing the desired driving condition with the current driving condition to determine a traffic congestion level, and sending a signal that indicates the traffic congestion level.