Abstract: The present invention relates to a vehicle and a control method therefor. The vehicle according to one embodiment of the present invention comprises: at least one sensor for acquiring traveling information of the vehicle and external environment information of the vehicle; and a control unit for receiving traveling information of a first group, wherein the vehicles, which join the first group, are traveling on a road including a plurality of lanes, for determining a target position of the vehicle for the first group on the basis of at least one of the vehicle traveling information, the external environment information, and the traveling information of the first group, and for controlling the vehicle so as to execute at least one operation corresponding to the target position.

Abstract: An approach is disclosed that reduces traffic network delays by identifying optimal sensor locations for one or more time periods and by controlling traffic signals through optimized sensor deployment.

Abstract: A method comprising determining speed-time cluster application histogram data set for a link segment that comprises a plurality of speed-time cluster application histogram data elements, each speed-time cluster application histogram data element identifying a speed-time cluster and an applicable duration of the speed-time cluster for the link segment throughout a histogram duration, for each speed-time cluster application histogram data element, determining a free-flow speed that is representative of a non-congestion speed indicated by the speed-time cluster, determining a historically normalized free-flow speed for the link segment that is a weighted average of the free-flow speed determined for each speed-time cluster application histogram data element weighted by the applicable duration of the speed-time cluster application histogram data element, and identifying a transit speed of the link segment as being the historically normalized free-flow speed is disclosed.

Abstract: A system (100) and method (300,400,500) for determining a path of a moving vehicle. The system (100) performs the method to obtain location points relating to a moving device (302); determine at least one average velocity of the moving device between two location points (304,406); remove at least one interfering location point from the location points based on the at least one average velocity (412); determine the remainders of the plurality of location points as a set of effective location points based on the at least one average velocity (306,414); determine a path of the moving device based on the set of effective location points (308); and store data for the path of the moving device in the one or more storage media.

Abstract: Embodiments include methods, systems, and computer program products for remediating a color vision deficiency. Aspects include receiving a user profile. Aspects also include receiving a real time location image including a plurality of objects. Aspects also include determining an image context. Aspects also include generating a situational notification based at least in part upon the user profile, the real time location image, and the image context.

Abstract: Aspects of the disclosure relate to classifying teh status of objects. For examples, one or more computing devices detect an object from an image of a vehicle's environment. The object is associated with a location. The one or more computing devices receive data corresponding to the surfaces of objects in the vehicle's environment and identifying data within a region around the location of the object. The one or more computing devices also determine whether the data within the region corresponds to a planar surface extending away from an edge of the object. Based on this determination, the one or more computing devices classify the status of the object.

Abstract: A network computer system operates to receive a plurality of service requests over a given time interval, where individual service requests specify a respective target destination and a current location of a respective requester device. For each service request, the network computer system arranges a pooled transport service for the corresponding requester by selecting a service start location, and instructions for enabling the requester to travel to the service start location. The network computer system may select the service provider based on a variety of considerations, including the service start location, the current location of the corresponding service provider, and the determined time interval.

Abstract: An automated driving system (402) for automated driving of road vehicle is provided herein. The automated driving system (402) includes a navigation module (202) configured to receive initial waypoints from a road model (602), and further configured to generate modified waypoints, based on squint radar data and inertial measurement unit (604). The automated driving system (402) further includes a guidance module (504) configured to generate a smooth reference path for the vehicle (102) to follow, based upon the modified waypoints. The automated driving system (402) further includes a control module (506) configured to control movement of the vehicle (102) along the generated reference path.

Abstract: Methods and software utilizing artificial neural networks (ANNs) to estimate density and/or flow (speed) of objects in one or more scenes each captured in one or more images. In some embodiments, the ANNs and their training configured to provide reliable estimates despite one or more challenges that include but are not limited to, low-resolution images, low framerate image acquisition, high rates of object occlusions, large camera perspective, widely varying lighting conditions, and widely varying weather conditions. In some embodiments, fully convolutional networks (FCNs) are used in the ANNs. In some embodiments, a long short-term memory network (LSTM) is used with an FCN. In such embodiments, the LSTM can be connected to the FCN in a residual learning manner or in a direct connected manner. Also disclosed are methods of generating training images for training an ANN-based estimating algorithm that make training of the estimating algorithm less costly.

Abstract: An example unmanned aerial vehicle traffic signal and related methods are disclosed. The example unmanned aerial vehicle includes a housing, a rotor, a motor, a sensor, a traffic signal, and a processor. The rotor is to lift the housing off ground. The motor is to drive the rotor. The sensor is to monitor traffic. The traffic signal is carried by the housing. The processor is to control the traffic signal based on the traffic monitored by the sensor.

Abstract: A method of processing a vehicle-to-everything (V2X) message in a V2X message transmitting entity may comprise obtaining, at the V2X message transmitting entity, status information of a transmission target entity; determining adaptively a security level for a V2X message to be transmitted to the transmission target entity based on the obtained status information; and generating the V2X message according to the determined security level, and transmitting the V2X message to the transmission target entity. Because security levels of V2X messages are adaptively determined, the V2X messages can be processed according to a processing capability of the transmission target entity and the type of the V2X message, thereby assuring the safety of the driver.

Abstract: Systems herein can recommend files to users based on meeting information. The system can include a secure email gateway that forwards meeting invitations to an email server and a content server. The system can extract invitee information, meeting timing information, and an attachment from the meeting invitation. During a time period based on the meeting timing information, the content server can cause a managed content application on an invitee's user device to visually identify the attachment as a recommended file. This can allow the user to locate and access relevant files for a meeting, including files that are not attached to the meeting invite, at one location.

Abstract: Embodiments can provide a system to facilitate a network of electric vehicle (EV) charging stations. Information regarding individual EV stations can be gathered and stored in one or more databases. Such information may be used to facilitate routing and/or scheduling of individual EV charging to the EV charging stations. A request may be received over a network to charge an EV. In response to receiving the request, one or more charging stations in the network may be determined as being available for charging the EV. Information regarding the one or more charging stations may be “pushed” to the EV and/or a client computing device associated with the EV for selection. A selection of a particular EV charging station can be received and the selected EV charging station can be accordingly reserved for charging the EV.

Abstract: An in-vehicle device includes first circuitry configured to: detect that a predetermined lane change has been made in a vehicle; acquire information indicating acceleration of the vehicle, the acceleration being an acceleration at a time when the lane change is made; judge a traveling environment of the vehicle, the traveling environment being a traveling environment when the lane change is made; decide a first risk level by comparing the information indicating the acceleration acquired by the first circuitry with one or more first threshold values; and determine a risk level of the lane change using the first risk level decided by the first circuitry and the traveling environment of the vehicle judged by the first circuitry.

Abstract: Methods and systems include determining travel information from vehicles. In one embodiment, a system monitors traffic on a roadway in real-time. The system includes a plurality of reader devices. The reader devices are capable of asynchronously capturing a unique network identifier of a device in a vehicle when the device is disposed in reader range of the reader devices. The reader device time stamps each captured unique network identifier. The time stamped unique network identifier is forwarded to a host module. The host module receives the time stamped unique network identifier. In addition, the host module determines travel information from the time stamped unique network identifier by comparing the time stamped unique network identifier for a particular vehicle to other time stamped unique network identifiers captured for the particular vehicle.

Abstract: A method, system, and computer program product is provided, for example, for matching a road sign observation information on a map application. The method may include receiving the road sign observation information. The method may further include identifying a plurality of candidate links based on a first distance between a location of the road sign observation information detection and a plurality of shape points. Additionally, the method may include calculating a heading difference between each of the plurality of candidate links and the location of the road sign observation information detection. Furthermore, the method may include identifying one or more qualified links from the plurality of candidate links, wherein the heading difference between each of the one or more qualified links from the plurality of candidate links and the location of the road sign observation information detection is within a predetermined heading difference threshold.

Abstract: A system and method for controlling driving of a hybrid vehicle are provided. The method includes determining whether acceleration of the hybrid vehicle is predicted and increasing a conversion reference value converting a driving mode of the hybrid vehicle from an electric vehicle (EV) mode to a hybrid electric vehicle (HEV) mode when acceleration of the hybrid vehicle is predicted.

Abstract: A system includes a housing with one or more edge processors to handle processing on behalf of a mobile target or to provide local data to the mobile target or to provide artificial intelligence for the mobile target; one or more antennas coupled to the housing; and a processor to control a directionality of the antennas in communication with the mobile target using 5G or 6G protocols.

Abstract: This disclosure covers machine-learning methods, non-transitory computer readable media, and systems that generate a multiplier that efficiently and effectively provides on-demand transportation services for a geographic area. The methods, non-transitory computer readable media, and systems dynamically adjust the multiplier with machine learners to maintain a target estimated time of arrival for a provider device to fulfill a request received from a requestor device. In some embodiments, the methods, non-transitory computer readable media, and systems generate a multiplier report comprising a representation of a geographic area and an indication of the multiplier to facilitate inflow and outflow of provider devices within and without the geographic area.

Abstract: A controller of a motorcycle determines that the motorcycle is lane-splitting. The controller transmits a notification to vehicles in proximity to the motorcycle. In response to the notifications, the vehicles facilitate lane-splitting by the motorcycle. In particular the vehicles may flash lights to communicate that the vehicle has received the notification and will facilitate lane-splitting. The vehicles may facilitate lane-splitting by refraining from performing lane changes. The vehicles may further notify the motorcycle if lane changes are needed and the motorcycle controller may provide an alert to a rider.

Abstract: The present invention relates to a method of determining at least one area (ZON) of a road network reachable by a vehicle driving on the road network. The method is based on the use of a dynamic model (MOD) of the vehicle depending on the vehicle speed and acceleration, the construction of a line graph (GA) and a shortest path algorithm (ALG).

Abstract: Various systems and methods for personal sensory drones are described herein. A personal sensory drone system includes a drone remote control system comprising: a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones; a transceiver to receive information from the drone swarm related to the task; and a user interface module to present a user interface based on the information received from the drone swarm.

Abstract: Tracking movements of mobile devices may provide insight into parking space availability for transports deemed to be associated with those mobile devices. One example method of operation may include identifying a transport speed of a particular transport vehicle is moving above a first threshold speed, identifying a first change in direction of the transport and confirming a new transport speed after the first change in direction is less than a second threshold speed. The method may also include initiating a monitoring event to track movement of the transport responsive to the first change in direction of the transport or the confirmed new transport speed.

Abstract: Disclosed is a method for receiving a multimedia content message by a vehicle to everything (V2X) communication apparatus. A method for receiving a multimedia content message by a vehicle to everything (V2X) communication apparatus according to an embodiment of the present invention includes: receiving a multimedia content message; parsing the multimedia content message; and acquiring a multimedia content included in the multimedia content message or a content segment which is a part of the multimedia content.

Abstract: A method, system, and/or computer program product controls a self-driving vehicle based on a purchase transaction at a point of sale (POS) device. One or more processors detect a purchase transaction at the POS device. In response to detecting the purchase transaction at the POS device, the processor(s) transmit instructions to the SDV to pick up a passenger associated with the purchase transaction at a predetermined location.

Abstract: An embodiment of the present invention relates to a method for transmitting and receiving a vehicle to everything (V2X) message of a first road side unit (RSU) in a wireless communication system, the method comprising the steps of transmitting, to an ITS server, information associated with PC5 interface congestion; after transmitting the information associated with PC5 interface congestion, receiving a first V2X message; and broadcasting a second V2X message on the basis of the first V2X message, wherein the second V2X message indicates that the second V2X message is control information via a packet data convergence protocol (PDCP) service data unit (SDU).

Abstract: A traffic monitoring system (400) includes a network of geographically distributed sensors (401-403). The sensors (401-403) provide raw or preprocessed data to a processing system (405) based on received long range wireless signals (e.g., 2.4 GHz, 5.8 GHz, or 5.9 GHz spectrum). The processing system (405) can then implement any of various algorithms to calculate traffic parameters taking into account the range of communication between the source and the sensor. The inputs to these algorithms include a first contacts, last contacts, maximum range, minimum range, median of contacts, average of contacts, maximum strength, and combinations thereof.

Abstract: Disclosed are an interconnected system and an interconnected device for an outdoor activity group that are capable of transmitting RF signals by a public open frequency band and transmitting a data packet in a relay manner without requiring the internet and external communication devices. The data packet includes the positioning information of a machine and each interconnected device, and each member of the outdoor activity group acts as a relay station to unlimitedly extend the communication distance of the whole group in a relay manner, so as to overcome the problem of losing contact caused by a long distance and a failed receipt of signals, and the interconnected system and device can improve the safety of outdoor activities.

Abstract: Systems, apparatuses, and methods disclosed herein provide for receiving internal vehicle information, external static information, and external dynamic information; controlling the operation of one or more electronic accessories of the vehicle based on the received information; and managing a power supply for the one or more electronic accessories based on the energy usage and the operation of the electronic accessories.

Abstract: A system uses machine models to estimate trip durations or distance. The system trains a historical model to estimate trip duration using characteristics of past trips. The system trains a real-time model to estimate trip duration using characteristics of recently completed trips. The historical and real-time models may use different time windows of training data to predict estimates, and may be trained to predict an adjustment to an initial trip estimate. A selector model is trained to predict whether the historical model, the real-time model, or a combination of the historical and real-time models will more accurately estimate a trip duration, given features associated with a trip duration request, and the system accordingly uses the models to estimate a trip duration. In some embodiments, the real-time model and the selector may be trained using batch machine learning techniques which allow the models to incorporate new trip data as trips complete.

Abstract: A cloud server maintains a neighboring vehicle data structure storing vehicle information of vehicles coupled to the cloud server over a network. The server receives a first request from a first of the vehicles, including a first vehicle identifier (ID) and current vehicle metadata of the first vehicle. In response to the first request, the server traverses the neighboring vehicle data structure to update a first node corresponding to the first vehicle based on the first vehicle ID and the current vehicle information of the first vehicle. The server transmits to the first vehicle over the network a list of one or more vehicle IDs identifying one or more vehicles that are within a predetermined geographic proximity of the first autonomous vehicles to allow the first vehicle to directly communicate with any vehicle in the list via a wireless local area network.

Abstract: A low flying unmanned vehicle is disclosed that may be able to determine whether a collision is possible and may take evasive action in response to the possible collision. The vehicle may wirelessly communicate and may use a standard protocol such that a variety of additional objects may be taken into account when determining the possible collision risk.

Abstract: A video surveillance method includes the steps of detecting, by a motion detector, an object motion, in the field of view of a surveillance device when the surveillance device is in a standby mode; generating, responsive to a positive detection to switch the surveillance device from the standby mode to an operation mode, one or more images of the moving object; determining, by processing the one or more images with a deep neural network (DNN) model of an object detector, whether the objects contained in the one or more images belong to a given categories, wherein the DNN model comprises N (N is a positive integer and ranged from 4-12) depthwise separable convolution layers; and video recording, responsive to a positive determination, the moving object in the field of view of the surveillance device.

Abstract: A device that estimates the travel speed of a mobile body obtains a speed similarity of a travel speed associated with a road subject to estimation and a travel speed associated with each section of a map. The device also obtains an environment similarity degree of environment information corresponding to a section including the subject road and environment information corresponding to each section. A section similar to the section including the subject road is selected based on the total similarity degree, which is calculated based on the speed similarity and the environment similarity, to set the travel speed associated with the selected section as a travel speed of a corresponding time period on the subject road.

Abstract: A method and system for generating warning notifications using wireless indoor navigation technology is disclosed. The method comprises determining a location for an individual and a transportation device by receiving device identifiers (e.g., distinctive combination of numbers and/or characters uniquely identifying receiving devices associated with the individual and the transportation device) and location information, received from one or more beacons, from the receiving devices. The method comprises determining a location associated with the individual and the transportation device based on the location information and/or the device identifiers. The method also comprises receiving a destination location and determining an intended path for the transportation device. The method comprises warning the individual upon determining that the location associated with the individual is within a predetermined proximity to the transportation device or its intended path.

Abstract: Tracking railroad cars during transit using computer implemented methods. Location information for railroad cars is obtained from sensors through a computer network and input into a computer system. Locations of trains are represented by train symbols on a graphical representation of a geographical region. In different embodiments, the location information is used to determine how the railroad cars are grouped into trains; when an operator selects one of the train symbols, one railcar symbol is displayed for each of the railroad cars that make up the train; or a bad ordered car is depicted. In various embodiments, GPS coordinates are used, shapes of locomotives or railcars are used, train symbols are shown at a shifted location when two of the trains are close together, a particular train is displayed in an ocean when location information is unavailable, or railcar symbols are displayed in a spiral pattern.

Abstract: In a method for associating a transmitter which transmits at least one communication information in a car-to-car communication with an object in a receiving motor vehicle, wherein the object is described by environmental data from at least one environmental sensor, wherein the association occurs based on comparing environmental data from at least one environmental sensor of the motor vehicle having the transmitter with corresponding environmental data of the receiving motor vehicle.

Abstract: A system and a method that determine movement of one or more individuals or populations of individuals are provided. A residential zip code of an individual is determined. Long-term movements are identified. Short-term movements are identified. The long-term and short-term movements are classified. Anonymization removes personally identifying information of the individual. The short-term movements and long-term movements are aggregated by creating source-target zip code pairs. A population movement database is generated. The population movement database is accessible by a user device that has credentials allowing access.

Abstract: Introspective autonomous vehicle operational management includes operating an introspective autonomous vehicle operational management controller including a policy for a model of an introspective autonomous vehicle operational management domain. Operating the controller includes, in response to a determination that a current belief state of the policy indicates an exceptional condition, identifying an exception handler for controlling the autonomous vehicle. Operating the controller includes, in response to a determination that the current belief state indicates an unexceptional condition, identifying a primary handler as the active handler.

Abstract: A system for detecting and recording real-time law violations having an array of wide and narrow angled cameras providing a plurality of images of a substantially 360° field of view around a law enforcement unit, a recording unit for recording said images, an analyzing unit for detecting a law violation, a permanent storage unit for permanently storing a plurality of images of a law violation event and a reporting unit for issuing citations.

Abstract: A vehicle mounted apparatus includes a first acquisition portion, a second acquisition portion, a comparison portion, and a control portion. The first acquisition portion acquires first vehicle information of different vehicles. The second acquisition portion acquires second vehicle information of different vehicles. The comparison portion compares a position of a closest different vehicle recognized based on the first vehicle information with a position of a closest different vehicle recognized based on the second vehicle information. The control portion employs both of the vehicle information acquired based on detection signals from the vehicle detection sensor and the vehicle information acquired based on the detection signals from the vehicle-to-vehicle communication in a combined manner when the position of the closest different vehicle recognized based on the first vehicle information matches with the position of the closest different vehicle recognized based on the second vehicle information.

Abstract: A driving event recording method and system for non-image-based car accident cause determination are disclosed. The system includes an external-event determination unit, an internal-driving-behavior-event determination unit, and a processor electrically connected to both determination units. The method is carried out as follows. The external-event determination unit generates information about an external event, and at the same time the internal-driving-behavior-event determination unit generates information about an internal driving behavior event. The processor receives the external-event information and the internal-driving-behavior-event information and uploads both pieces of information to a cloud storage space in a text or program code format for storage in a blockchain.

Abstract: The present invention provides a traffic intersection driving assistance method and system, wherein the method comprises: acquiring driving information about vehicles within a current intersection area by way of vehicle interconnection; obtaining vehicle flows in various driving directions according to the driving information; determining whether a difference in between vehicle flows in various driving directions exceeds a pre-set threshold, and if so, changing a driving direction of a variable lane; and sending information about the distribution of driving directions of current lanes to the vehicles within the current intersection area. The object of the present invention is to avoid traffic congestion by adjusting a variable lane in time.

Abstract: Computer system, method and computer program product are provided for supporting an operator to control a traffic system including a traffic infrastructure configured to allow the movement of real world traffic participants. A state prediction module of the computer system determines, based on time-stamped location data of trajectories, time dependent speed profiles, time dependent turn probabilities, and time dependent attraction shares corresponding to time dependent turn probabilities. It further determines a state forecast (FC1) for a given future time point based on the time dependent traffic parameters including the speed profiles, turn probabilities, and attraction shares), in conjunction with at least one existing time-dependent origin-destination-matrix and a suitable Sequential Dynamic Traffic assignment methodology.

Abstract: A Public Safety Access Point (PSAP) or other system can receive an emergency event. Based on information associated with the emergency event, the PSAP can determine which emergency vehicle can respond to the event. The PSAP may then determine an origination point, a destination, and a route that will be used by the emergency vehicle. The route information may then be communicated to a map server, one or more vehicles that may be affected by the route of the emergency vehicle, and/or other systems, devices, and/or computer systems. The map server, vehicles, etc. can then reroute or change a characteristic of a vehicle's travel to adjust for the travel and route of the emergency vehicles.

Abstract: A spout is operably connected to a transferring material for transferring the agricultural material to the receiving vehicle. An imaging device faces towards the storage portion of the receiving vehicle and collects image data. A container module is adapted to determine a container position of the storage portion, or its container perimeter. A spout module is adapted to identify a spout of the transferring vehicle in the collected image data, or to determine a spout position. An alignment module is adapted to determine the relative position of the spout and the container position based on the collected image data and to generate command data or user interface data to facilitate placement of the spout and storage container in relative cooperative alignment for transferring of material from the transferring vehicle to the receiving vehicle.

Abstract: A method for determining a location of a transit stop for a transit system, the method comprising: registering a plurality of entries of device location data of a plurality of mobile computing devices, each entry of the plurality of entries comprising a geographical coordinate of a mobile computing device at a time the mobile computing device displayed information relating to the transit stop; and determining a transit stop location responsive to the registered entries of device location data.

Abstract: A driving control method for an intersection traffic light array is provided. The intersection traffic light array includes Nxi horizontal ground traffic light sets. The Nxi horizontal ground traffic light sets include a horizontal ground traffic light set pxi which is disposed at an intersection safety line position of an entrance lane xi of a planar intersection. The Nxi horizontal ground traffic light sets further include a horizontal ground traffic light set qxi which is disposed at a stop line position of the entrance lane xi. Each horizontal ground traffic light set includes at least one traffic light, and part or all of traffic lights of a horizontal ground traffic light set i are provided with a wireless driving signal input port and/or a wired driving signal input port.

Abstract: A platoon control system includes a platoon control in communication with a plurality of individual platoon vehicle controls associated with respective platoon vehicles of a platoon of vehicles traveling along an initial traffic lane. The platoon control determines if there is sufficient clearance in another lane for the platoon of vehicles. Responsive to the platoon control, the individual platoon vehicle controls control the respective platoon vehicles to maneuver the platoon vehicles from the initial traffic lane to the other lane in a manner that limits or substantially precludes other vehicles from interrupting the platoon of vehicles. Responsive to the platoon control, the individual platoon vehicle controls control the respective platoon vehicles to allow a new platoon vehicle to enter the platoon of vehicles and/or to regroup following departure of a platoon vehicle from the platoon of vehicles.

Abstract: A method of managing a vehicle convoy, the method comprising: sending a convoy setup invitation message from a first vehicle to set up a vehicle convoy; receiving, at the first vehicle, a confirmation message from a second vehicle accepting the convoy setup invitation; sending, from the first vehicle, convoy data messages to the second vehicle, the convoy data messages comprising data required to maintain the vehicle convoy.