Abstract: An information processing device includes: an acquisition unit that acquires travel information related to travel of a vehicle and information of regulation display that has been converted into information from a captured image of the regulation display, the image being an image captured by a camera mounted on the vehicle; a preprocessing unit that sets, when a reliability of the information of the regulation display that has been converted into information is equal to or higher than a threshold value, the information to a regulation value, and updates the regulation value at a certain time with any one of the regulation values in a certain section including the time; and a diagnosis unit that diagnoses a violation when the travel of the vehicle based on the travel information satisfies a violation condition based on the updated regulation value.

Abstract: A system for aggregating alarms for a network includes a non-transitory computer readable medium configured to store instructions thereon. The system further includes a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for receiving information for configuring alarm data. The processor is configured to execute the instructions for aggregating alarm data based on the information for configuring alarm data. The processor is configured to execute the instructions for generating a visual representation of the aggregated alarm data. The processor is configured to execute the instructions for instructing a display to display the visual representation on a graphical user interface (GUI). The processor is configured to execute the instructions for receiving filter criteria through the GUI. The processor is configured to execute the instructions for updating the display on the GUI based on the filter criteria.

Abstract: A method, system and medium for assisted driving of a vehicle are disclosed. The method comprises predicting a target intersection based on map information, a positioning location of the vehicle, and a motion status of the vehicle, where the target intersection is an intersection that the vehicle is to first pass in the future; determining a distance between the vehicle and the target intersection based on the map information and the positioning location of the vehicle; collect a turn light status of the vehicle; and when the distance between the vehicle and the target intersection is less than a first threshold, generating prompt information based on the turn light status of the vehicle and a first turning rule of a first lane in which the vehicle is located at the target intersection, where the prompt information prompts that the turn light status does not conform to the first turning rule.

Abstract: A boundary specifying a bounded geographic area for which travel information is to be reported is generated. Flow section information associated with flow sections located within the boundary is obtained. The flow sections represent portions of one or more roadways assigned relevant functional road classes (FRCs). The flow section information includes information about traffic flow associated with the flow sections. FRC current traffic messages, which include non-predictive traffic information associated with roadway portions that are in the bounded geographic area and are assigned relevant FRCs, are combined with the flow section information to generate a first data group. The first data group is streamed to a first traffic message service.

Abstract: Adaptive navigation techniques are disclosed that allow navigation systems to learn from a user's personal driving history. As a user drives, models are developed and maintained to learn or otherwise capture the driver's personal driving habits and preferences. Example models include road speed, hazard, favored route, and disfavored route models. Other attributes can be used as well, whether based on the user's personal driving data or driving data aggregated from a number of users. The models can be learned under explicit conditions (e.g., time of day/week, driver ID) and/or under implicit conditions (e.g., weather, drivers urgency, as inferred from sensor data). Thus, models for a plurality of attributes can be learned, as well as one or more models for each attribute under a plurality of conditions. Attributes can be weighted according to user preference. The attribute weights and/or models can be used in selecting a best route for user.

Abstract: A vehicle may transmit, to a network entity, a lane use request message associated with a lane for the vehicle. The network entity may identify lane information associated with a lane for a vehicle. The network entity may identify vehicle information associated with the vehicle. The network entity may transmit, to the vehicle, and the vehicle may receive, from the network entity, a lane use grant message based on at least one of the identified lane information or the identified vehicle information. The lane use grant message may be indicative of a permission for the vehicle to use the lane. The vehicle may not be permitted to use the lane without the permission. The lane may correspond to a flexible direction lane, an emergency lane, a road shoulder, an HOV lane, or a passing lane.

Abstract: Disclosed is a traffic flow forecasting method based on a multi-mode dynamic residual graph convolution network, including following steps: constructing a relationship matrix and an adaptive matrix to learn the site dependence relationship for historical traffic data of traffic stations; using multi-mode dynamic graph convolution to extract traffic characteristics corresponding to different traffic modes; embedding the graph convolution into the gated cyclic neural network to realize the combination of space dependence and time dependence of traffic flow; connecting the network by using the dynamic residual, and combining the input traffic data with the decoding data to obtain the final forecasting value. The application utilizes two different methods to construct adjacency matrix, effectively captures traffic flow characteristics corresponding to different traffic modes, and dynamically fuses traffic flow characteristics of two different modes.

Abstract: A controller is provided to control movement of transporting devices. Embodiments limit the loads imparted on a grid of pathways structure of transporting devices to prevent non-safety-critical damage from excess loads and/or fatigue. A controller is arranged to control movement of transporting devices arranged to transport containers stored in a facility. The facility includes pathways arranged in cells to form a grid-like structure which extends in first and second directions. A route determination unit determines a route from one location to another, and a clearance unit to provide clearance for each transporting device to traverse a portion of the determined route. A constraint area determination unit determines constraint areas based on the grid-like structure and a calculation unit calculates a constraint limit in each constraint area.

Abstract: An electronic device includes memory circuitry, a wireless interface, and processor circuitry. The processor circuitry is configured to obtain positioning data and movement data from a wireless device. The processor circuitry is configured to determine, based on the positioning data, one or more stops including a first stop of a transportation journey of the wireless device. The processor circuitry is configured to determine, based on movement data associated with the first stop, a transition parameter associated with the first stop. The processor circuitry is configured to determine whether the transition parameter satisfies a first criterion indicative of a change of transportation mode at the first stop. The processor circuitry is configured to output, based on the transition parameter, a transportation parameter.

Abstract: Aspects of the present disclosure relate to differentiating between active and inactive construction zones. In one example, this may include identifying a construction object associated with a construction zone. The identified construction object may be used to map the area of the construction zone. Detailed map information may then be used to classify the activity of the construction zone. The area of the construction zone and the classification may be added to the detailed map information. Subsequent to adding the construction zone and the classification to the detailed map information, the construction object (or another construction object) may be identified. The location of the construction object may be used to identify the construction zone and classification from the detailed map information. The classification of the classification may be used to operate a vehicle having an autonomous mode.

Abstract: A control device associated with an autonomous vehicle receives sensor data and detects that the autonomous vehicle is approaching a railroad crossing based on the sensor data. The control device determines that no train is approaching the railroad crossing from the sensor data. The control device detects an indication of a stopped vehicle in front of the autonomous vehicle and behind the railroad crossing. The control device determines whether the stopped vehicle is associated with a mandatory stop rule. The mandatory stop rule indicates vehicles carrying hazardous materials have to stop behind the railroad crossing even when no train is approaching or traveling through the railroad crossing. If it is determined that the stopped vehicle is associated with the mandatory stop rule, the control device waits behind the stopped vehicle until the stopped vehicle crosses the railroad crossing and instructs the autonomous vehicle to cross the railroad.

Abstract: A controller may determine a battery consumption configuration of the machine based on information regarding the machine, and obtain fuel burn data indicating an amount of fuel burned by the machine. The controller may determine a simulated battery consumption of the machine based on the battery consumption configuration and the fuel burn data. The controller may determine a simulated battery charge level based on the simulated battery consumption. The controller may determine whether the simulated battery charge level satisfies a charge level threshold. The controller may derate an engine of the machine based on determining that the simulated battery charge level does not satisfy the charge level threshold.

Abstract: A data processing method, a data processing apparatus, an electronic device, and a computer-readable storage medium are provided. The data processing method includes: acquiring at least one piece of sample data in a statistical group, each piece of sample data including a statistical indicator and an indicator value of the statistical indicator; creating a first statistical array corresponding to the statistical indicator, the first statistical array including a plurality of first elements, and the plurality of first elements being used to perform statistics on different indicator values, respectively; and traversing indicator values of the at least one piece of sample data, and performing statistics on the at least one piece of sample data by using the first statistical array, so as to obtain a data statistical result, the plurality of first elements of the first statistical array being statistical sub-results of respective indicator values, respectively.

Abstract: Examples include receiving a plurality of values of a parameter that is measured by a sensor, determining a sensor rate of change based on the plurality of values, determining a sensor error rate based on the plurality of values, receiving a reading of the parameter, and determining a reliability of the reading based on the sensor rate of change and the sensor error rate.

Abstract: Vehicle guidance with systemic optimization may include traversing, by a current vehicle, a vehicle transportation network, by obtaining, by the current vehicle, systemic-utility vehicle guidance data for a current portion of the vehicle transportation network and traversing, by the current vehicle, the current portion of the vehicle transportation network in accordance with the systemic-utility vehicle guidance data. Obtaining the systemic-utility vehicle guidance data may include obtaining vehicle operational data for a region of a vehicle transportation network, wherein the vehicle operational data includes current operational data for a plurality of vehicles operating in the region, operating a systemic-utility vehicle guidance model for the region, obtaining systemic-utility vehicle guidance data for the region from the systemic-utility vehicle guidance model in response to the vehicle operational data, and outputting the systemic-utility vehicle guidance data to the current vehicle.

Abstract: Provided is an information processing method of determining the influence of the event on the traffic condition, and this method includes a first link setting step of setting a link, related to an occurrence position of the event, as a target link, a determining step of determining a degree of influence of the event on the traffic condition of the target link, and a second link setting step of setting a link adjacent to the target link as a new target link based on a determination result of the determining step, in which the processing in the determining step is performed on the target link specified in the second link setting step.

Abstract: Embodiments of this application generally disclose a communication method and apparatus. The method is applied to an intelligent device, and the intelligent device includes a plurality of sensors. The method includes determining N target sensors from a plurality of sensors, where N is an integer greater than 1. The method also includes, correcting to respective second moments of the N target sensors to a first moment of a first clock. According to embodiments of this application, time of different sensors in the intelligent device can be synchronized, to improve an accuracy for a fusion of data collected by the different sensors.

Abstract: A vehicle control system includes an automatic driving control device that generates a target trajectory used for automatic driving, and a vehicle travel control device that executes vehicle travel control such that a vehicle follows the target trajectory. The vehicle travel control device determines whether an operating condition of travel support control for reducing a risk when the vehicle travels is satisfied based on driving environment information, acquired from a plurality of sensor devices, and executes the travel support control in a case where the operating condition is satisfied. The vehicle travel control device generates risk information based on the driving environment information, and transmits the risk information to the automatic driving control device before the operating condition is satisfied. The automatic driving control device generates or corrects the target trajectory based on the received risk information.

Abstract: A vehicle broadcasts a lane change intent message indicating parameters of a maneuver to be performed by the vehicle operating as a main traffic participant vehicle, the maneuver requiring use of a road resource. Response messages are received from recipient vehicles indicating approval or disapproval of performance of the maneuver. Responsive to one of the recipient vehicles returning a response message indicating conflict with use of the road resource required for performance of the maneuver, a conflict resolution procedure is performed between the main traffic participant vehicle and the conflicted recipient vehicle, the conflict resolution procedure using a pre-agreed identical conflict resolution algorithm executed on each of the main traffic participant vehicle and the conflicted recipient vehicle to each make a same distributed decision whether to proceed with the maneuver.

Abstract: A departure sequencing system models airport operations and provides suggested gate pushback times for aircraft. In various embodiments, a departure sequencing system includes an airport state analyzer, a taxi-out predictor, and a pushback optimizer. The departure sequencing system may utilize stochastic models, and resolve aircraft conflicts using a business rules engine. Via use of the departure sequencing system, taxi times may be reduced, taxi fuel burn may be reduced, and airport throughput may be increased.

Abstract: A driving controller for a vehicle includes a detector that obtains driving information of a preceding vehicle and information about the road and a controller that determines a risk level of the preceding vehicle based on the driving information of the preceding vehicle and determines whether to perform avoidance control depending on the risk level. When it is determined that a breakdown or risk occurs in the preceding vehicle, the driving controller provides corresponding logic capable of avoiding the preceding vehicle.

Abstract: A parking lot management system according to the present disclosure includes a management apparatus, an image capturing apparatus, a cart, and a display apparatus. The management apparatus acquires, and stores as parking information, a license plate number and a spot number of a parking spot from the image capturing apparatus. Then, the management apparatus acquires, from a cart terminal of the cart, information that enables specification of the parking information of a vehicle of a customer using the cart and an identification number of the cart terminal, and stores the identification number of the cart terminal in association with the parking information. Then, the management apparatus detects return of the cart to a predetermined location, calculates a predicted time until the parking spot is freed up, and updates display on the display apparatus based on the predicted time.

Abstract: According to one embodiment, a dynamic parameter server is provided in an ADV to update parameters of an autonomous driving system (ADS) of the ADV in real time without requiring the reboot of the ADS. The dynamic parameter server can obtain new parameters from a configuration file created by users based on their experiences and expectations. Each new parameter is mapped to certain physical conditions. When the ADV encounters the physical conditions mapped to a particular parameter, the dynamic parameter server can broadcast the new parameters to the ADS, which can use the new parameters to control the ADV. The physical conditions can be used as selection factors for the dynamic parameter to determine which ADS parameter to update.

Abstract: A method for the infrastructure-supported assistance of a motor vehicle. The method includes: receiving surroundings signals which are representative of surroundings of the motor vehicle; analyzing the surroundings in order to determine a traffic situation, in which the motor vehicle is located; determining a suggestion for a traffic-directing traffic control measure for the infrastructure-supported assistance of the motor vehicle for an operator based on the determined traffic situation; outputting suggestion signals which are representative of the determined suggestion. A device, a computer program and a machine-readable storage medium are also described.

Abstract: There is provided a method for generating traffic data indicative of a traffic volume and/or traffic density within a navigable network in an area covered by an electronic map, the electronic map comprising a plurality of segments representing navigable elements of the navigable network. The method generally comprises obtaining data indicative of a count of devices associated with vehicles traversing the navigable element represented by the segment in respect of a given time, wherein the count of devices is based on positional data and associated timing data relating to the movement of a plurality of devices associated with vehicles along the navigable element represented by the segment; and using the determined count data and an scaling coefficient to obtain data indicative of an estimated traffic volume for the segment in respect of the given time, wherein the scaling coefficient is time dependent.

Abstract: The subject disclosure relates to techniques for enabling autonomous vehicles to reason about similarities of features between drivable areas. A process of the disclosed technology can include receiving first sensor data corresponding with a first roadway segment, receiving second sensor data corresponding with a second roadway segment, encoding the first sensor data into a first vector, wherein the first vector represents a first roadway characteristic associated with the first roadway segment, encoding the second sensor data into a second vector, wherein the second vector represents a second roadway characteristic associated with the second roadway segment, and determining a similarity between the first roadway segment and the second roadway segment based on the first vector and the second vector.

Abstract: In a self-vehicle with V2X communication capability and with an enhanced ADAS, a method for warning nearby road-users at risk using exterior vehicle lights, the method comprising by the enhanced ADAS, analyzing the behavior of a non-V2X connected road-user ahead and/or a non-V2X connected road-user behind the self-vehicle using inputs from at least one sensor of the self-vehicle and from V2X communications received in the self-vehicle, determining from the analysis that the non-V2X connected road-user ahead and/or the non-V2X connected road-user behind poses a risk to another road-user, and warning the non-V2X connected road-user ahead and/or the non-V2X connected road-user behind that it poses the risk using a special lighting pattern displayed on an exterior part of the self-vehicle.

Abstract: Systems and methods are disclosed for implementing a vehicle shadow service that includes a vehicle and/or vehicle shadow update mechanism. A vehicle shadow management sub-system of the vehicle shadow service includes or interfaces with an interface configured to receive vehicle state change requests. Received requests are stored in an update queue for a vehicle shadow and a validation processor determines whether the received state change requests are valid before sending a given state change request to a vehicle corresponding to the vehicle shadow. In some embodiments, state change requests may be invalidated due to being rendered moot by subsequently received requests, changes in state of the vehicle, expiration, etc. The corresponding vehicle shadow is then updated when a data stream from the vehicle indicates that the requested state change has in fact been implemented at the vehicle.

Abstract: A video analytics based image verification system for obtaining initial vehicle profiles is presented. The system may include an external processing server that receives a location of a vehicle and proximate traffic information to determine whether it is safe for a user to obtain an initial vehicle profile. The external processing server may further determine first and second profile features from video data indicative of the vehicle. The external processing server may compare the second profile feature to an image verification indicator to generate an image verification score. A provider server may receive the first profile feature and the image verification score from the external processing server, and update a risk evaluation to include the initial vehicle profile if the image verification score is above an image verification threshold.

Abstract: A load control system for controlling a plurality of lighting loads located in a space may be configured to track the location of one or more tracked devices. The load control system may comprise a system controller, lighting control devices, e.g., for controlling a plurality of lighting loads, and tracked devices. The tracked devices may each transmit beacon messages. The lighting control devices may receive the beacon message. The lighting control devices may measure a communication quality metric of each of the beacon messages, and process the measured communication quality metrics received over a period of time to determine a processed communication quality metric for the tracked device. The lighting control devices may transmit tracking data to the system controller. The system controller may determine a location (e.g., an area location and/or a fixture location) of the tracked device.

Abstract: A parking assist apparatus including a controller configured to perform operations including image feature extraction, parking feature registration, identification of a parking position from the registered parking features, performance of parking assistance based on the identified parking position, and erasure of registered parking features based on non-detection of the parking features during the performance of parking assistance.

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: Methods and systems for assessing driving autonomous system (DAS) performance based on the telematics data, vehicle type, and/or driving environment. The methods and/or systems may receive driving data indicative of vehicle performance based on DAS operation of the vehicle during a time period; select a portion of the driving data related to at least one performance metric of the DAS operated vehicle during the time period; receive historical DAS performance data that includes at least one performance metric of a vehicle-type of DAS operated vehicle that includes the vehicle; analyze the selected portion of the driving data during the time period with the historical DAS performance data; calculate a DAS score for the vehicle based on the analysis of the selected portion of the driving data during the time period with the historical DAS performance data of the vehicle type; and adjust DAS operation of the vehicle based on the calculated DAS score for the vehicle.

Abstract: A transportation vehicle, a method, a computer program and an apparatus for combining object information relating to one or more objects in an environment of a transportation vehicle from different data sources. The method includes capturing a first item of environmental information relating to the environment by at least one sensor arranged on the transportation vehicle, receiving at least one second item of environmental information relating to the environment from a transmitter separated from the transportation vehicle, determining at least one first item of object information from the first environmental information, determining at least one second item of object information from the second environmental information, and assigning the first meta information and the second meta information to one another based on a comparison of a tolerance range with a discrepancy between the first object information and the second object information.

Abstract: Devices at a scene of a vehicular accident may be used to direct vehicle traffic in response to the vehicular accident. For example, a device associated with a structure at a location of the vehicular accident may analyze information about the accident scene and, based on the information, direct traffic near the accident scene.

Abstract: A technique, comprising: controlling an operation of a first vehicle at least partly on the basis of information about one or more sensor outputs of one or more other vehicles recovered from one or more radio transmissions each verifiable as a radio transmission by a vehicle included in a record of certified vehicles.

Abstract: A route planning apparatus configured to create a travel plan that includes a planned travel route for a leading vehicle to electronically tow a following vehicle using inter-vehicle communication, the route planning apparatus comprising: a receiving unit configured to receive a request to stop at a waypoint during traveling by the electronic towing, the stop-over request being input on a second information processing apparatus that is used by an occupant of the following vehicle: a searching unit configured to search, for a waypoint according to the request, the planned travel route and a surrounding region of the planned travel route; and a transmitting unit configured to transmit information regarding a found waypoint and a route to the waypoint to a first information processing apparatus that is used by an occupant of the leading vehicle.

Abstract: A method includes: obtaining a number of vehicles passing a driving road segment within a duration; determining whether the driving road segment is a sparse road segment by determining whether the number of vehicles is less than or equal to a vehicle threshold; obtaining first real-time driving data transmitted by a first vehicle the target road segment, and obtaining first driving characteristic-information of the target road segment based on the first real-time driving data; obtaining second real-time driving data transmitted by a second vehicle passing a topology road segment, and obtaining second driving characteristic-information of the target road segment based on the second real-time driving data, the topology road segment being a road segment within a target range of the target road segment; and generating road-condition information of the target road based on at least the second driving characteristic-information.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit a first safety message associated with the UE. The first safety message may be transmitted according to a first periodicity of a set of transmission periodicities for safety message transmissions. The UE may select a second periodicity of the set of transmission periodicities based on one or more environmental conditions associated with the UE. The UE may transmit a second safety message associated with the UE according to the second periodicity of the set of transmission periodicities based at least in part on selecting the second periodicity. The one or more environmental conditions may include topological information, road information, or visibility information. The UE may select the second periodicity based on one or more parameters associated with the UE.

Abstract: Provided is a system which can reduce load on a travel controller that performs a danger avoidance operation by preliminarily detecting a significant event without increasing an amount of ITS communications, thereby providing suitable assistance for travel control of autonomous vehicles. When a vehicle 1 passes through a certain section of a road after an in-vehicle terminal 4 has detected a significant event while the vehicle 1 is traveling in the section, the in-vehicle terminal 4 transmits event data (images and other information related to the event) to a roadside apparatus 6 at an end point of the section. The roadside apparatus 6 transmits the event data to another roadside apparatus 6 at a start point of the section, which in turn transmits the event data to an in-vehicle device in another vehicle entering the section so that the device can perform travel control based on the event data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring a dedicated roadway the runs in parallel to a railroad. In some implementations, a system includes a central server, an interface, and sensors. The interface receives data from a railroad system that manages the railroad parallel to the dedicated roadway. The sensors are positioned in a fixed location relative to the dedicated roadway. Each sensor can detect vehicles in a first field of view on the dedicated roadway. For each detected vehicle, each sensor can generate sensor data based on the detected vehicle in the dedicated roadway and the data received at the interface. Each sensor can generate observational data and instruct the detected vehicle to switch to an enhanced processing mode. Each sensor can determine an action for the detected vehicle to take based on the generated observational data.

Abstract: A controller for controlling a motion of at least one device subject to constraints on the motion, is disclosed. The controller comprises a processor and a memory, where the controller inputs parameters of the task including the state of the at least one device to a neural network trained to output an estimated motion trajectory for performing the task. Further, the controller extracts at least some of the integer values of a solution to a mixed-integer optimization problem for planning an execution of the task that results in the estimated motion trajectory. Further, the controller solves the mixed-integer optimization problem for the parameters of the task with corresponding integer values fixed to the extracted integer values to produce an optimized motion trajectory subject to the constraint and changes the state of the at least one device to track the optimized motion trajectory.

Abstract: First feature points can be determined which correspond to pose-invariant surface model properties based on first data points included in a first lidar point cloud acquired by a sensor. A three-dimensional occupancy grid can be determined based on first data points included in the first lidar point cloud. Dynamic objects in a second lidar point cloud acquired by the sensor can be determined based on the occupancy grid. Second feature points can be determined which correspond to pose-invariant surface model properties based on second data points included in the second lidar point cloud not including the dynamic objects. A difference can be determined between corresponding feature points included in the first feature points and the second feature points. A traffic infrastructure system can be alerted based on the difference exceeding a threshold.

Abstract: A fiber optic sensing technology for vehicle run-off-road incident automatic detection by an indicator of sonic alert pattern (SNAP) vibration patterns. A machine learning method is employed and trained and evaluated against a variety of heterogeneous factors using controlled experiments, demonstrating applicability for future field deployment. Extracted events resulting from operation of our system may be advantageously incorporated into existing management systems for intelligent transportation and smart city applications, facilitating real-time alleviation of traffic congestion and/or providing a quick response rescue and clearance operation.

Abstract: An environmental information acquiring unit for acquiring one or more pieces of environmental information, an important information specifying unit for specifying important environmental information among the pieces of environmental information acquired by the environmental information acquiring unit, a calculation unit for performing a calculation related to control of a vehicle on the basis of the pieces of environmental information acquired by the environmental information acquiring unit, and a trained model in machine learning, a contribution information specifying unit for specifying contribution environmental information among the pieces of environmental information used for the calculation by the calculation unit, and a reliability determination unit for determining a degree of reliability of a result of the calculation performed by the calculation unit by comparing the important environmental information specified by the important information specifying unit with the contribution environmental informa

Abstract: One embodiment of a system for analyzing the in-lane driving behavior of an external road agent generates a sequence of sparse 3D point clouds based on a sequence of depth maps corresponding to a sequence of images of a scene. The system performs flow clustering based on the sequence of depth maps and a sequence of flow maps to identify points across the sequence of sparse 3D point clouds that belong to a detected road agent. The system generates a dense 3D point cloud by combining at least some of those identified points. The system detects one or more lane markings and projects them into the dense 3D point cloud to generate an annotated 3D point cloud. The system analyzes the in-lane driving behavior of the detected road agent based, at least in part, on the annotated 3D point cloud.

Abstract: A computer is provided for a system for detecting, characterizing, and mitigating road network congestion. The system includes a plurality of motor vehicles. Each motor vehicle includes a telematics control unit (TCU) for generating one or more location signals for a location of the associated motor vehicle and one or more event signals for an event related to the associated motor vehicle. The computer includes one or more processors for receiving the location signal and/or the event signal from the TCU of the associated motor vehicles. The computer further includes a non-transitory computer readable storage medium (CRM) including instructions, such that the processor is programmed to identify a location of the road network congestion at a current time step. The processor is further programmed to track the road network congestion and predict the road network congestion at a next time step.

Abstract: A vehicle management method is provided for setting a travel plan for a vehicle (Vn) using a server (10) configured to manage vehicle requests from a plurality of users. This method includes specifying an available vehicle from among a plurality of the vehicles as an in-use vehicle on the basis of the vehicle requests from the users who request use of the vehicle (Vn), setting the travel plan including a travel route of the in-use vehicle by way of a boarding location for each of the users on the basis of the vehicle requests from the users, and in a case in which a user of the users is absent at the boarding location when the in-use vehicle arrives at the boarding location, setting a waiting time at the boarding location on the basis of the travel plan.

Abstract: The present invention relates to a method, a device, and a computer program for a first vehicle. The method comprises a step of obtaining information on a state of a roadway from a second vehicle or from traffic infrastructure. The method additionally comprises a step of validating the information on the state of the roadway based on a sensor signal or a step of obtaining information on a validation of the information on the state of the roadway from one or more third vehicles. The method additionally comprises a step of determining a trustworthiness of the information on the state of the roadway based on the validation of the information on the state of the roadway and/or based on the information obtained from the one or more third vehicles on the validation of the information on the state of the roadway.

Abstract: Disclosed is an air a gas source system for supplying air gas to a turbine engine by fracturing manifold equipment, including an air a gas supply device, an air gas delivery manifold, a filtering device, a gas detecting system and a connecting device, the air gas delivery manifold, the filtering device and the gas detecting system are integrated on the fracturing manifold equipment, the air gas supply device is connected to the air gas delivery manifold through the filtering device, and the air gas delivery manifold supplies air gas to the turbine engine through the connecting device. Beneficial effects: avoiding the hidden danger of the high pressure region, saving the floor space, avoiding the wiring of on-site delivery manifold, enhancing the connection efficiency, and reducing the difficulty of wellsite installation.