Abstract: A method of determining whether one or more navigable elements of a navigable network within a geographic area are still affected by a precipitation weather event. A quantity parameter is associated with each segment of an electronic map representing the navigable network and indicates the amount of precipitation remaining on the navigable element or portion thereof represented by the segment. The value of the quantity parameter increases in the presence of any precipitation weather event, and decreases ac cording to a predefined function with respect to time in the absence of any such precipitation weather event. A speed of travel of one or more devices along the navigable element or portion thereof represented by a segment is determined and compared to an expected speed of travel for the segment; the value of the quantity parameter being decreased based on the comparison.

Abstract: This application is directed to augmenting training data used for vehicle driving modelling. A computer system obtains a first image of a road and identifies a drivable area of the road within the first image. The computer system obtains an image of an object and generates a second image from the first image by overlaying the image of the object over the drivable area. The second image is added to a corpus of training images to be used by a machine learning system to generate a model for facilitating driving of a vehicle (e.g., at least partial autonomously). In some embodiments, the computer system applies machine learning to train a model using the corpus of training images and distributes the model to one or more vehicles. In use, the model processes road images captured by the one or more vehicles to facilitate vehicle driving.

Abstract: A method, apparatus and computer program product for activating a flood event warning are described herein. In the context of a method, a location may be identified as a flood prone location. Data relating to the flood prone location may be received from one or more remote devices. The method may determine a flood confidence for the flood prone location based upon the data. The method may identify an active flood event for the flood prone location based on the flood confidence and cause a flood event warning to be activated in an instance in which the active flood event is identified.

Abstract: A system and a method for updating and sharing crossroad dynamic map data are disclosed.

Abstract: A vehicle safety analytics and routing system can be used to identify high risk areas and to assist in routing vehicles. The vehicle safety analytics and routing system brings together a variety of vehicle incident data that can be used in identifying high risk areas and in predicting risks for a vehicle. The routing aspect of the system uses vehicle incident data to assess the distribution of risk over a geographic area and to calculate risks associated with different potential vehicle routes. The calculated risks can be used to route vehicles around high risk intersections and stretches of road.

Abstract: A navigation system for a motor vehicle is provided. A display interface is located in a vehicle. A is processor in communication with a vehicle sensor and a server. The processor is configured to receive vehicle information and road information, predict a traveling direction of the vehicle based on the vehicle information, and highlight the road information associated with the traveling direction on the display interface. A corresponding vehicle and method is also provided. A user of a navigation map can obtain auxiliary information to drive on the current route from a navigation interface more conveniently during the process of using the navigation map, thus providing the user an improved driving experience.

Abstract: A communication apparatus for inter-vehicular communication according to the present invention includes: a network state estimating unit configured to estimate network state information indicating a current network state based on driving information and channel state information of neighboring vehicles; a network access controller configured to control whether to transmit a message based on the network state information; a transmission scheduler configured to control a transmission time point of the message based on the network state information; and a transmission buffer unit configured to delay transmission of the message according to the control of the transmission time point of the transmission scheduler.

Abstract: An emotion estimation apparatus includes a recording section that records one or more events that cause a change in an emotion of a person and prediction information for predicting, for each event, an occurrence of the event; an event predicting section that predicts the occurrence of the event, based on detection of the prediction information; and a frequency setting section that sets a frequency with which an estimation of the emotion is performed. If the occurrence of the event is predicted by the event predicting section, the frequency setting section sets the frequency to be higher than in a case where the occurrence of the event is not predicted, and also sets the frequency based on the content of the event.

Abstract: A smart car system that determines when danger from another vehicle is likely, and addresses that danger. An embodiment signals the other car using open air communication. Another embodiment starts the deployment of anti-crash structure, e.g, airbag or an anti crash fencing.

Abstract: A traffic control method and system that interfaces to all available traffic control systems (401), which include all manner of existing traffic control systems and new traffic control systems, extends the scope and capabilities the real-time monitoring of traffic characteristics (402) and utilizes artificial intelligence techniques to predict and/or detect traffic congestion (403), as well as to determine corrective actions (404) to be performed by relevant available mechanisms. These corrective actions are then caused to occur by providing appropriate data and instructions to the selected mechanisms and systems using compatible interfaces provided for this purpose.

Abstract: In one embodiment, a road side unit (RSU) establishes a data offload session with a vehicle in the vicinity of the RSU based on a session establishment request sent by the vehicle, and stores data received from the vehicle during the data offload session in its memory. The RSU generates storage record information (including identifying information for the RSU) for the stored data, and transmits the storage record information to the vehicle.

Abstract: A vehicle for interpreting a traffic scene is provided. The vehicle includes one or more sensors configured to capture an image of an external view of the vehicle, and a controller. The controller is configured to obtain the captured image of the external view of the vehicle from the one or more sensors, segment a plurality of instances from the captured image, determine relational information among the plurality of instances, and generate a hyper graph including a plurality of nodes representing the plurality of instances and a plurality of edges representing the relational information among the plurality of instances.

Abstract: A collaborative control system for a vehicle has a cloud server, a collaboration device, and an edge computing device. The cloud server stores road coordinates and traffic data corresponding to the road coordinates. The collaboration device is for being mounted in the vehicle. The edge computing device communicates with the cloud server and the collaboration device and is for being mounted in the vehicle. The edge computing device downloads one of the traffic data from the cloud server as an instant traffic datum according to a vehicle positioning coordinate corresponding to one of the road coordinates, and transmits the instant traffic datum to the collaboration device. The collaboration device displays the instant traffic datum.

Abstract: Systems and methods are provided for interpreting traffic information. A method includes: receiving, by a processor, visual data from vehicles, wherein the visual data is associated with an intersection of a roadway having one or more lanes; receiving, by the processor, vehicle data from the vehicles, wherein the vehicle data is associated with the intersection of the roadway; determining, by the processor, a first state of a traffic light associated with the intersection based on the visual data; determining, by the processor, a second state of the traffic light associated with the intersection based on the vehicle data; correlating, by the processor, the first state and the second state based on a time synchronization; assigning, by the processor, the traffic light to a lane of the roadway based on the correlating; and communicating, by the processor, the traffic light to lane assignment for use in controlling a vehicle.

Abstract: A method includes receiving a service request from a vehicle within a geographic area, receiving a first set of data from the vehicle comprising a position of the vehicle within the geographic area, a direction that the vehicle is facing, and a field of view for an augmented reality display associated with the vehicle, obtaining historical traffic data associated with the geographic area, identifying one or more traffic infrastructures within the field of view of the augmented reality display based on a map associated with the geographic area, the historical traffic data, the position of the vehicle, and the direction the vehicle is facing, generating an augmented reality image for the one or more traffic infrastructures based on the historical traffic data and the field of view of the augmented reality display, and sending the augmented reality image to the vehicle.

Abstract: A system comprising a computer including instructions to collect object data about each of a plurality of objects within a zone from sensors on a roadside infrastructure unit. The zone includes a road intersection. The object data includes an object type, an object location, an object speed and an object direction of travel for each object. The computer further includes instructions to determine, based on the object data, an availability level for execution of one or more paths through the road intersection by a vehicle wherein the availability level for each of the one or more paths is based on a likelihood of interference between any of the objects and the vehicle as the vehicle traverses the respective path. The computer further includes instructions to transmit an availability message to the vehicle including the availability level for each of the one or more paths.

Abstract: A communication apparatus for inter-vehicular communication according to the present invention includes: a network state estimating unit configured to estimate network state information indicating a current network state based on driving information and channel state information of neighboring vehicles; a network access controller configured to control whether to transmit a message based on the network state information; a transmission scheduler configured to control a transmission time point of the message based on the network state information; and a transmission buffer unit configured to delay transmission of the message according to the control of the transmission time point of the transmission scheduler.

Abstract: A connected-vehicle interface module is provided that includes a connected-vehicle controller, a wireless data connected-vehicle radio for receiving an activation signal indicating a road condition, and a connected-vehicle interface controller.

Abstract: A head up display system of a vehicle includes: a communication module configured to receive a period until a traffic signal of an intersection of roads will change from a first state to a second state; a distance module configured to, based on the period and a present speed of the vehicle, determine a distance in front of the vehicle where the vehicle will be when the traffic signal transitions from the first state to the second state; a light source configured to, via a windshield of the vehicle, generate a virtual display that is visible within a passenger cabin of the vehicle; and a display control module configured to, based on the distance, control the light source to include, in the virtual display, a visual indicator of a location in a path of the vehicle where the traffic signal will transition from the first state to the second state.

Abstract: One general aspect includes a system to prevent a boxed-in driving situation, the system including: a memory configured to include one or more executable instructions and a processor configured to execute the executable instructions, where the executable instructions enable the processor to detect a preventable box-in driving situation; and, based on the detection of the preventable box-in driving situation, adjust a location of a trigger threshold along a vehicle path.

Abstract: Systems and methods for providing traffic signals to drivers of vehicles include vehicle-based systems which visually or audibly provide wait and proceed messages to drivers. A command center electronically receives arrival times recorded by time keeping devices of stop signs at an intersection upon arrival of the vehicles as determined by vehicle detection devices. Identifiers for the arriving vehicles are received and associated with the arrival times. A command is transmitted to set the traffic signaling device of the stop sign associated with an earliest arrival time to proceed, and if the earliest arrival time is associated with an identifier, to provide the proceed message at the vehicle-based systems associated the identifier.

Abstract: A disaster preparation system may include a system controller. The system controller may include a device processor; and a non-transitory computer readable medium including instructions executable by the device processor to perform the following steps: receiving location data from a personal electronic device of a user; receiving forecast data regarding a predicted disaster; making a determination of a preparatory action to be executed on behalf of the user, based on the location data and the forecast data; and executing the preparatory action at a predetermined time relative to the predicted time of occurrence of the predicted disaster.

Abstract: The present disclosure provides a perception system for a vehicle. The perception system includes a perception filter for determining a region of interest (“ROI”) for the vehicle based on an intent of the vehicle and a current state of the vehicle; and a perception module for perceiving an environment of the vehicle based on the ROI; wherein the vehicle is caused to take appropriate action based on the perceived environment, the current state of the vehicle, and the intent of the vehicle.

Abstract: A driving control method is provided in which a processor configured to control driving of a vehicle acquires detection information around a vehicle on the basis of a detection condition that can be set for each point; extracts events which the vehicle encounters, on the basis of the detection information; creates a driving plan in which a driving action is defined for each of the events on the basis of the detection information acquired in the events; executes a driving control instruction for the vehicle in accordance with the driving plan; and determines the detection condition on the basis of the content of the driving action defined for each of the events.

Abstract: According to some embodiments, there is provided a Collective Perception Message, CPM, characterizing a plurality of Vulnerable Road Users based on a plurality of received VAMs, thereby allowing an ITS station to efficiently aggregate VAM messages from VRUs and retransmit information about the VRUs to other ITS stations. Consequently, the security is improved as some ITS stations may not be able to detect or identify VRU stations by themselves but thanks to the CPM, these stations can still be informed of the VRUs. According to other aspects, congestion is avoided while maintaining safety vis-à-vis VRUs thanks to the use of a different transmission scheme when the VRU is already characterized in a CPM sent to the ITS stations. Also, a receiving station can evaluate whether the content of a CPM can be trusted or not. Safety is thus improved. This is achieved thanks to the CPM that references a certificate.

Abstract: A radar monitoring system and a radar monitoring method for monitoring a traffic control zone involve installing two radars near the traffic control zone so that the radars emit radar waves covering the traffic control zone and serve as backups for each other; locating any object in the traffic control zone as a coordinate point with respect to a set of X and Y coordinate axes, and subjecting the X and Y coordinate axes of the two radars to axial normalization, so that an identical object in the traffic control zone is located by the first radar and the second radar at approximately the same coordinate point. An alert area is defined in the traffic control zone and an excluded area around a resident facility in the traffic control zone is excluded from the alert area. When an object in the alert area is determined as an obstacle, an alert is triggered.

Abstract: A method is disclosed for analyzing historical accident information to adjust driving actions of an autonomous vehicle over a travel route in order to avoid accidents which have occurred over the travel route. Historical accident information for the travel route can be analyzed to, for example, determine accident types which occurred over the travel route and determine causes and/or probable causes of the accident types. In response to determining accident types and causes/probable causes of the accident types over the travel route, adjustments can be made to the driving actions planned for the autonomous vehicle over the travel route. In addition, in an embodiment, historical accident information can be used to analyze available travel routes and select a route which presents less risk of accident than others.

Abstract: A method, apparatus and non-transitory computer readable storage medium, in one embodiment, associating at least one wireless device and at least one user, requesting audio information from at least one remote source by the at least one wireless device, receiving the audio information from the remote source, broadcasting an audio identifier to the at least one wireless device, using the audio information, authenticating the association between the at least one wireless device and at least one transport, based on the audio information, determining at least one characteristic of the at least one user based on at least one of at least one user search history and at least one user preference selection and determining at least one probable route of the at least one transport based on the at least one characteristic and at least one of at least one route history and at least one input destination.

Abstract: An information provision system has a vehicle-mounted device, server, and mobile terminal, which send and receive information to and from one another. The vehicle-mounted device has an imaging unit that images a vicinity of a vehicle, and a first transmitting unit that sends position information, vehicle condition information, and captured image data, to the server. The server has a dangerous spot information creating unit that creates dangerous spot information having a danger level and associated with position information, based on the vehicle condition information and captured image data, and a second transmitting unit that sends the dangerous spot information to the mobile terminal. The mobile terminal has a third transmitting unit that sends position information to the server, a receiving unit that receives the dangerous point information corresponding to the position information of the mobile terminal, and an output unit that outputs a warning based on the dangerous spot information.

Abstract: An apparatus with torque vectoring control of a vehicle with an independent driving motor includes: one or more processors configured to: measure driving information including a steering angle, a yaw rate, a longitudinal velocity, lateral acceleration and longitudinal acceleration of the vehicle; calculate a driving aggressiveness (DA) index representing driving aggressiveness of a driver through an exponential weighted moving average (EWMA) operation using the driving information; calculate a target yaw rate based on the driving information and the DA index; and generate a control moment based on the driving information, the DA index and the target yaw rate, wherein, for the calculating of the DA index, the one or more processor are configured to calculate the DA index to have a higher value than a case of generating only longitudinal acceleration or a case of generating only lateral acceleration, in response to the longitudinal acceleration and the lateral acceleration being generated at a same time.

Abstract: Chionophobia intervention systems and methods are disclosed herein. An example method includes detecting snowfall from a vehicle sensor of a vehicle or a service provider, displaying a prompt on a human machine interface (HMI) to query a user regarding additional assistance in response to the detection of the snowfall, activating a first stage response after detecting the snowfall, determining when the first stage response is insufficient based on feedback received from the user, and activating a second stage response when the feedback received from the user indicates that the first stage response is insufficient.

Abstract: A controller for transmitting control information necessary for autonomous driving to an autonomous driving vehicle is provided. The controller includes: a reception device configured to receive a signal transmitted from a wireless communication device included in the autonomous driving vehicle; a first transmission device configured to transmit first control information to the wireless communication device included in the autonomous driving vehicle; and a second transmission device configured to transmit information to a satellite based on a reception condition of the signal from the autonomous driving vehicle received by the reception device, the information being used by the satellite to transmit second control information to a satellite communication device included in the autonomous driving vehicle.

Abstract: The present invention enables recognition of traffic light lamp color in place of or in addition to simply displaying the traffic light lamp color in a color image. A projection unit projects, towards a part subject to projection, display light L that can display an image at a variable display distance. A lamp color information acquisition unit acquires a lamp color of a traffic light which a vehicle will be driving through. A display distance adjustment unit changes the display distance of the image based on the lamp color acquired by an information acquisition unit.

Abstract: In accordance with an embodiment, a method for processing information associated with vehicular traffic includes monitoring two signals that include information associated with vehicular traffic. A comparison signal is generated by comparing the two signals. The two signals may be wireless signals, or one of the two signals may be a hardwired signal.

Abstract: A method or system for adaptive vehicle spacing, including determining a current state of a vehicle based on sensor data captured by sensors of the vehicle; for each possible action in a set of possible actions: (i) predicting based on the current vehicle state a future state for the vehicle, and (ii) predicting, based on the current vehicle state a first zone future safety value corresponding to a first safety zone of the vehicle; and selecting, based on the predicted future states and first zone future safety values for each of the possible actions in the set, a vehicle action.

Abstract: There is provided a signal processing apparatus, a signal processing method for appropriate driving control. The signal processing apparatus includes a safety determination unit that determines safety of a preceding vehicle on a basis of sensor-related information related to a sensor provided in the preceding vehicle, the sensor being relevant to a safety function, and a control signal generation unit that generates, on a basis of a result of the determination of the safety, a control signal for controlling a host vehicle.

Abstract: In some embodiments, an electronic device displays user interfaces for viewing information about and/or for reporting information about incidents of different types associated with a (e.g., physical) location.

Abstract: Travel-related-information messages (TRIMS) are received from one or more information sources, and information included in the messages is separated into a first (e.g. TPEG™) or second (e.g. TPEG+) group. A broadcast area to which the information included in the TRIMs is to be broadcast is determined. A further determination indicates that a subset of information assigned to the first group is to be reassigned to the second group. The subset of information is reassigned from the first group to the second group based on parameters associated with the broadcast area. The information included in the first group and the second group is delivered to one or more processing modules that generate a first TRIM reporting message using information included in the first group and a second TRIM reporting message using information included in the second group.

Abstract: A precipitation index estimation apparatus includes a data collection unit and an estimation processing unit. The data collection unit is configured to collect rainfall amount data detected by a rainfall amount sensor in one or more vehicles positioned on a predetermined road link within a predetermined period. The estimation processing unit is configured to estimate a precipitation index indicating an intensity of precipitation on the predetermined road link within the predetermined period, based on the collected rainfall amount data.

Abstract: A client device determines, whether or not transmission of unique data acquired in a host vehicle is necessary on the basis of at least one of a traveling state of the host vehicle and a surrounding environment of the host vehicle, transmits the unique data acquired in the host vehicle in a case where the unique data transmission necessity determining unit determines that the transmission is necessary, determines whether or not transmission of non-unique data acquired in the host vehicle is necessary on the basis of at least one of the driving state of the host vehicle and the surrounding environment of the host vehicle when the host vehicle is determined to be a representative vehicle among multiple vehicles using the unique data acquired in the multiple vehicles, and transmits the non-unique data acquired in the host vehicle when the transmission is determined to be necessary.

Abstract: Data are collected on at least one of a coolant temperature of a vehicle, an atmospheric ozone level, and air quality. A refueling time is determined based on the collected data. The vehicle is moved to a fueling station based on the refueling time.

Abstract: A method includes receiving sensor data from a sensor associated with a vehicle and determining a likelihood that the vehicle is experiencing an emergency condition based on the sensor data. The method also includes sending an alert indicative of the likelihood, the alert comprising at least a portion of the sensor data.

Abstract: Methods, systems, and devices for wireless communications are described. Examples may include a receiving wireless device located in a first geographic zone receiving multiple signals from one or more transmitting wireless devices. The receiving wireless device may determine based on the received signals that the one or more transmitting devices are located in a second geographic zone. The receiving wireless device may determine configured transmit power information for each of the signals received from the transmitting wireless devices located in the second geographic zone. The receiving wireless device may estimate a path loss of wireless communications between the first geographic zone and the second geographic zone based on the configured transmit powers received in the signals. The receiving wireless device may communicate within the second geographic location based on the estimated path loss between the first geographic region and the second geographic region.

Abstract: The present disclosure relates to systems, devices and methods for detecting network intrusions. Embodiments are directed to processing vehicle network traffic with known traffic profiles. In one embodiment, violations of the known traffic profiles may be reported. Configurations and processes are also provided for network interface controllers.

Abstract: A system includes a processor configured to determine a navigation instruction execution location within a predefined distance from a vehicle location. The processor is also configured to communicate with a wireless transceiver to receive information identifying an intervening turn-option location, between the execution location and vehicle location. The processor is further configured to determine a distance between the vehicle location and turn-option location and display the determined distance on a navigation display, until the vehicle passes the turn-option location.

Abstract: Disclosed is a vehicle information inquiry method including a logging step of acquiring an event ID for sharing anonymized vehicle information and vehicle travel information corresponding to the event ID from an external device, by a central server, a query step of receiving an inquiry about the event ID and the vehicle travel information corresponding to the event ID from an inquiry server, by the central server, and a responding step of transmitting the vehicle travel information corresponding to the event ID received from the inquiry server to the inquiry server, by the central server.

Abstract: An apparatus for controlling platooning of a vehicle includes a processor configured to share platoon line information between platooning groups, determine whether it is necessary to overtake a forward platooning group, calculate an expected time taken to overtake, and adjust and share vehicle speeds of the forward platooning group to be overtaken and a platooning group to overtake, based on the expected time taken to overtake and a storage storing the platoon line information.

Abstract: The present disclosure relates to a method and system for determining a transport service fee. The method may include: obtaining a service request transmitted from a passenger terminal, wherein the service request includes starting point information and destination information; determining an estimated transport service fee based on the service request; obtaining a price adjustment condition based on the service request, wherein the price adjustment condition is related to the starting point or historical information of the passenger terminal or a driver terminal; determining an amount of the price adjustment based on the price adjustment condition; determining an estimated transport service fee after the price adjustment based on the amount of the price adjustment and the estimated transport service fee; and sending the estimated transport service fee after the price adjustment to the passenger terminal.

Abstract: A semiconductor device has a position estimation part calculating an estimated position of a mobile at a scheduled time to project a message image, based on movement information of the mobile, a reference image signal output part deciding a reference area being an area to project a reference image, based on a relative positional relation between the mobile at the estimated position and the projection area, and outputting a reference image signal being a signal of the reference image, a test image signal acquisition part acquiring a test image signal being a signal of an image obtained by imaging the reference area with the reference image projected thereon, and an image adjustment part adjusting the message image signal, based on the reference image signal and the test image signal.

Abstract: A driving assistance method includes: detecting a first other vehicle entering an intersection on a first route where a host vehicle is traveling from a second route; predicting whether or not the first other vehicle will stop in the intersection, and predicting a stop position of the first other vehicle; calculating a minimum distance of a first gap between a vehicle body of the first other vehicle and a surrounding object around the first other vehicle or between the vehicle body of the first other vehicle and a road edge of a travel lane of the first other vehicle when the first other vehicle stops at the predicted stop position; and predicting according to the calculated minimum distance whether or not a second other vehicle, which is a following vehicle behind the first other vehicle, may slip through the first gap from behind the first other vehicle.