Abstract: An impression estimation system for estimating visual impressions of a plurality of vehicles configured with exterior graphic messaging. A mobile device application of each of a plurality of mobile devices associated with the plurality of vehicles generates vehicle mobility data. A computational platform includes a processor and program code which, when executed by the processor, causes the processor to, with respect to each vehicle of the plurality of vehicles: (i) identify, using the vehicle mobility data, one or more of the road segments in which the vehicle was present; (ii) estimate, using the traffic volume data, a number of potential visual impressions of the vehicle within the road segments; (iii) determine an estimated number of visual impressions; (iv) generate visual impression information based at least in part upon the estimated number of visual impressions; and (v) cause display of the visual impression information.

Abstract: A method of producing vehicles comprises: in a vehicle production process, manufacturing vehicle components of different types, and assembling the vehicle components to form vehicles; creating a set of vehicle records, each being a record of one of the vehicles entering active service; performing vehicle repairs on a subset of the vehicles after they have entered active service; creating a respective record of each of the vehicle repairs, each of which comprises or indicates a vehicle age or usage value, and records a vehicle component fault identified in the vehicle repair; receiving at a data processing stage the vehicle records and vehicle repair records, wherein a predictive algorithm executed at the data processing stage processes the received records so as to, for each type of vehicle component: 1) identify a respective set of the vehicle repair records relating to that type of vehicle component, and 2) use the respective set of vehicle repair records to predict a respective number of or resource value

Abstract: Dead reckoning combined with GNSS-aided map-matching improves accuracy and reliability of vehicle navigation. A map-match navigation module in a handheld device sends map-match feedback messages to a vehicle state estimator via a port. The module also accepts vehicle speed and inertial navigation data from sensors mounted in the vehicle.

Abstract: Methods, systems, and media for determining characteristics of roads are provided. In some embodiments, the method comprises: receiving, at a first time point, first camera information from a camera associated with a vehicle; identifying a first position of a feature of an object in front of the vehicle based on the first camera information; receiving, at an additional time point, additional camera information from the camera; identifying an updated position of the feature of the object in front of the vehicle based on the additional camera information; determining a relative motion of the feature of the object in front of the vehicle based on the first position and the updated position; and determining a characteristic of a road the vehicle is on based on the relative motion of the feature of the object in front of the vehicle.

Abstract: Performance anomalies in complex systems can be difficult to identify and diagnose. In an example, latency associated with one or more of the systems can be determined. An anomalous event can be determined based on the determined latency. In some examples, based at least in part on determining the event, the system may be controlled in a safe state and/or reconfigured to obviate the anomaly.

Abstract: A traveling route generating device is provided, which may include a user interface and processing circuitry. The user interface may receive a home route that is a route on which a ship travels upon departing from a home harbor or upon returning to the home harbor, the home harbor being a location from which the ship departs. The processing circuitry may generate a traveling route between one of a destination of the ship and a current location of the ship, and a location on the home route.

Abstract: A remote vehicle control device includes: a display unit; an operation unit configured for controlling a vehicle; a signal generating unit configured to generate control signals for the vehicle, based on operations on the operation unit; a communication unit configured to perform communication with the vehicle and another remote vehicle control device; and an authority managing unit that manages a control authority for the vehicle. Synthetic images showing a surrounding area of the vehicle as seen from a virtual viewpoint each are generated on the basis of plural images acquired by plural on-board cameras mounted on the vehicle, respectively, and the display unit displays the synthetic images. The communication unit transmits the control signals to the vehicle. The authority managing unit performs transfer of the control authority for the vehicle in cooperation with the another remote vehicle control device via the communication unit.

Abstract: A method for adjusting a seat in a vehicle is presented. The method includes receiving a user input from a passenger to adjust the seat from a default position to a passenger adjusted position. The method also includes predicting, in response to the passenger exiting the vehicle, a likelihood of the passenger returning to the vehicle. The method still further includes maintaining the passenger adjusted position when the likelihood of the passenger returning to the vehicle is greater than a threshold.

Abstract: A tire pressure monitoring sensor comprises an environmental pressure sensor, a non-volatile memory for storing a first program and a second program, a processing unit for executing the first program, a communication module including a wireless transmitter for transmitting at least one parameter indicative of conditions within a tire and a wireless or wired receiver for loading the second program into the non-volatile memory and a battery for powering the sensor. The second program contains a sensor operation description which is used by the first program.

Abstract: A method, apparatus, and computer program product are provided to reduce redundant data uploads, the method includes, for example, providing a collection indicator for a specific data type on a given road. The method further includes separating a plurality of data points for the specific data type collected during travel of a vehicle along the given road into a transmission group of data points and a non-transmission group of data points. The separating of the plurality of data points may be done by determining an amount of data points to be included in the transmission group by applying the collection indicator to the plurality of data points for the specific data type that are collected during travel of the vehicle along the given road. The method still further includes causing the transmission of the transmission group of data points.

Abstract: A traveling assistance method acquires driving characteristics of another vehicle around a host vehicle, determines whether the other vehicle is in an autonomous driving mode depending on the driving characteristics of the other vehicle, and detects an action of the other vehicle in accordance with the determination result of whether the other vehicle is in the autonomous driving mode.

Abstract: A diagnostic service is selectively started at opportune times, such as when the electrical vehicle is initially plugged in. When the electrical vehicle is turned off, there may not be any messages being sent on the communication bus since most vehicle electronic controllers are disabled to conserve power. But, when someone plugs in a charger, there is a surge of bus traffic for a short period of time. The system parses through the bus traffic and looks for a particular communication bus address. The presence of this address can be used as an indicator for an opportune time to start the diagnostic service to confirm whether the electric vehicle is charging or not and to log the state of charge of the electric vehicle.

Abstract: The present invention is directed to a system and method for scheduling service for autonomous vehicles based on criticality of the service request. The system is configured for receiving a plurality of service requests from a plurality of autonomous vehicles, wherein each of the plurality of service requests include diagnostic codes and current location. The system can analyze the diagnostic codes of each of the plurality of service requests to identify at least one service for each of the plurality of the autonomous vehicles, wherein criticality for each of the plurality of service requests based on the at least one service. The criticality for each of the plurality service requests can then be accessed on a predetermined scale. Thereafter, the plurality of service requests are ordered in an order ranging from lowest criticality to highest criticality on the predetermined scale.

Abstract: In an engine speed display control device of a vehicle including an engine speed display to display a determined display value of the engine speed, the engine speed display control device determines the display value of the engine speed, and includes a variation restricting display control portion configured to implement a variation restricting display control when a garage-parking shifting operation of the transmission shifting member is performed while the vehicle is held stationary in a non-operated position of the accelerator pedal. The variation restricting display control portion determines the display value of the engine speed in the variation restricting display control such that an amount of variation of the display value is smaller than in a normal display control in which the display value is determined according to the actual value.

Abstract: Disclosed herein are an apparatus and method of controlling a motor-driven power steering system. The apparatus may include: a sensor configured to detect at least one of a steering angle, an angular speed, and a column torque in the motor-driven power steering system; and a controller configured to determine whether a reverse steering operation has been performed based on the steering angle or the angular speed, and configured to output, when non-reverse steering, a high-frequency compensation gain (a second gain) based on the column torque, as a final compensation gain, and output, when reverse steering, a value obtained by applying an additional compensation gain (a first gain) optimized corresponding to an angular acceleration to the high-frequency compensation gain (the second gain), as the final compensation gain.

Abstract: The present disclosure may be directed to a computer-assisted or autonomous driving (CA/AD) vehicle that receives a plurality of indications of a condition of one or more features of a plurality of locations of a roadway, respectively, encoded in a plurality of navigation signals broadcast by a plurality of transmitters as the CA/AD vehicle drives past the locations enroute to a destination. The CA/AD vehicle may then determine, based in part on the received indications, driving adjustments to be made and send indications of the driving adjustments to a driving control unit of the CA/AD vehicle.

Abstract: The present invention relates to a controller for controlling at least first and second propulsion units to generate a combined torque at least substantially equal to a total requested torque. At least first and second torque ranges are determined for each of the at least first and second propulsion units. The at least first and second torque ranges are determined to maintain dynamic stability of the vehicle. A total power cost is determined in dependence on an estimated power loss of the at least first and second propulsion units within said at least first and second torque ranges and a minimum value of the determined total power cost identified. The torque to be generated by each of said at least first and second propulsion units corresponding to the identified minimum value of the total power cost is determined. At least first and second control signals are generated to control said at least first and second propulsion units to generate the determined torque.

Abstract: A vehicle control device is provided with a timing selection unit configured to select, during automated driving, either one of a first notification timing at which notification of a driving takeover request is issued in the case that a remaining distance to a scheduled switching point from the automated driving to manual driving has become less than or equal to a predetermined distance, and a second notification timing at which notification of the driving takeover request is issued in the case that a remaining time period until reaching the scheduled switching point is less than or equal to a predetermined time period, wherein the timing selection unit selects the first notification timing or the second notification timing based on a present travel speed or a scheduled travel speed.

Abstract: According to some implementations of the present disclosure, a method for controlling an autonomous vehicle is disclosed. The method includes traversing the transportation network in accordance with a route and receiving vehicle sensor data from one or more vehicle sensors of the autonomous vehicle. The method also includes determining that the autonomous vehicle has encountered an occlusion scenario based on the vehicle sensor data. In response to determining that the autonomous vehicle has encountered the occlusion scenario, the method includes transmitting a request for infrastructure data to an external resource via a communication network, receiving infrastructure data from the external resource, determining a control action for the autonomous vehicle to perform based on the infrastructure data and the vehicle sensor data, and controlling the autonomous vehicle based on the control action.

Abstract: A method and system for autonomously operating an aircraft. The method comprises a pre-flight training step comprising: retrieving recorded surveillance data of a plurality of flights corresponding to at least one aircraft type and at least one route; inferring aircraft intent from the recorded surveillance data; computing reconstructed trajectories using the inferred aircraft intent; selecting a training dataset comprising aircraft intent and reconstructed trajectories of flights corresponding to a particular aircraft type and route; and applying a machine learning algorithm on the training dataset to obtain a mapping function between aircraft states and actions.