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: 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: 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: 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 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: 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: The present disclosure invention relates to a method for the anonymized transmission of sensor data of a vehicle to a vehicle-external receiving unit, to an anonymizing system, and to a receiving unit, the method including the following steps: determining the sensor data at a measurement location at a measurement time, determining a traffic density in an environment of the measurement location, determining an anonymized time and/or an anonymized location, calculating an anonymization probability of the vehicle, which results from the traffic density and the anonymized time and/or location, determining whether the anonymization probability meets a predetermined anonymization condition, and if the anonymization condition is met, transmitting the sensor data to the external receiving unit, the anonymized time being indicated as a measurement time indication and/or the anonymized location being indicated as a measurement location indication.

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: A system comprises a computer including a processor and a memory. The memory storing instructions executable by the processor to cause the processor to receive a blockchain including a record of a vehicle status, wherein the vehicle status comprises at least an intended vehicle operation of a first vehicle; determine a path recommendation for the first vehicle based on at least a vehicle trajectory of a second vehicle; and transmit the path recommendation to the first vehicle.

Abstract: Methods and devices for operating a Self-Driving Car (SDC) are disclosed. The method includes generating a first graph-structure having nodes and edges, ranking the edges based on a priority logic into a ranked list of edges, and generating a second graph-structure (i) by iteratively generating attributes for respective ones from the ranked list of edges beginning with a highest priority edge in the ranked list of edges and (ii) until a pre-determined limit is met. The method also includes causing operation of the SDC on the road segment using the second graph-structure.

Abstract: A driving control device controls driving of a subject vehicle so that front-rear acceleration of the subject vehicle when traveling along a curved route becomes an acceleration upper limit or less. Provided that a merging point exists in a certain section on the downstream side of the curved route, when the distance between the position of the subject vehicle traveling along the curved route and the merging point is a predetermined distance or less, the control device sets the acceleration upper limit to a corrected acceleration upper limit that is higher than a reference acceleration upper limit when the merging point does not exist in the certain section.

Abstract: The subject disclosure relates to techniques for real-time lane validation. A process of the disclosed technologies can include steps for receiving a route from a remote computing system, the route indicating lanes on the route that an autonomous vehicle must traverse, traversing at least one lane of the lanes on the route, and sending sensor data to the remote computing system after traversing the at least one lane, the sensor data indicating whether the at least one lane is in accordance with a virtual lane of a virtual map, the virtual lane corresponding to the at least one lane.

Abstract: A method is described for verifying a digital map of a higher-level automated vehicle (HAV), in particular a highly automated vehicle, including the steps: S1 providing a digital map, preferably a highly accurate digital map: S2 determining an instantaneous reference position and localizing the reference position in the digital map; S3 establishing at least one actual feature property of a feature in the surroundings of the reference position, the establishment being carried out with the aid of at least one information source; S4 comparing the actual feature property to a setpoint feature property of the feature and ascertaining at least one difference value as the result of the comparison. A corresponding device and a computer program are also described.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring vehicles traversing a dedicated roadway that includes an at-grade crossing. In some implementations, a system includes a central server, a gate system, and sensors. The gate system provides access to an at-grade crossing for vehicles. The sensors are positioned in a fixed location relative to a roadway, the roadway including the at-grade crossing. Each sensor can detect vehicles on the roadway. For each vehicle, each sensor can generate sensor data and observational data from the generated sensor data. Each sensor can determine a likelihood that the detected vehicle will approach the at-grade crossing by comparing the likelihood to a threshold. In response, each sensor can transmit data to the gate system that causes the gate system to allow the autonomous vehicle access to the at-grade crossing prior to the autonomous vehicle reaching the gate system.

Abstract: The present application discloses a method and apparatus for adjusting a train diagram, the method includes: obtaining a first time of an extra train corresponding to a target passenger flow, and obtaining a set of trains with adjustable departure times based on the first time, in which the set of trains includes at least one train; adjusting a departure time of the at least one train in the set of trains based on a preset minimum departure time interval to obtain an adjusted train diagram; and performing an extra train adding instruction based on the adjusted train diagram.

Abstract: A cognitive sensor-based autonomous parking route search system includes a cognitive sensor configured to obtain cognitive information for determining an existence and a location of an obstacle by sensing a space around a vehicle being driven in an inside of a parking lot, a global path search module configured to generate a global path for the inside of the parking lot as a node map by searching for a free space, in which the vehicle is capable of being driven, based on the cognitive information and by setting a node in the free space, and an optimal local path generation module configured to generate an optimal local path from a current location of the vehicle to a destination by connecting the node set in the free space while the vehicle moves inside the parking lot.

Abstract: The present disclosure relates to monitoring data in and around a vehicle to predict anomalous, e.g., unsafe, road conditions, and using the data to suggest a corrective action to avoid the unsafe road conditions. A computing device receives information indicative of imagery, sound, or vehicle operation via sensors and/or cameras mounted in or near a vehicle. The information may be received via the vehicle itself or via a device. The computing device then determines whether there is an indication of an anomalous road condition. The computing device also receives vehicle operation data extracted from one or more vehicle sensors. The computing device then determines whether there is an indication of unsafe road conditions, and if there is, the computing device may output a notice or alert via a notification system to alert the driver.

Abstract: The application provides a method, device, electronic device for vehicle cooperative decision-making as well as a computer storage medium. The method for vehicle cooperative decision-making applied at a cloud server includes: receiving a cooperative decision request sent by a roadside device, wherein the cooperative decision request is a request sent by the roadside device after it is recognized that a road is congested based on acquired real-time road information; acquiring information of a road scene included in the cooperative decision request; determining a congestion scene type based on the information of the road scene; calculating multi-vehicle oriented decision planning schemes using a preset scene cooperative decision model based on the congestion scene type; and sending the decision planning schemes to respective vehicles, so that the vehicles perform respective driving operations according to the decision planning schemes.

Abstract: A traveling control apparatus that allows lane changing due to a driver's steering intervention while continuing lane maintenance control includes an electronic control unit. The electronic control unit sets a target trace along a lane in which a vehicle is traveling, determines a target steering angle of the vehicle based on the target trace and a lateral position of the vehicle, applies control torque to a steering shaft of the vehicle based on the target steering angle, resets, in response to a change in the lateral position due to the driver's steering intervention which exceeds the control torque and entrance of the vehicle into an adjacent lane, the target trace to the adjacent lane, and determines, using a gradual changing function, in response to the resetting of the target trace, the target steering angle by changing the target steering angle at the time of the resetting.

Abstract: To provide a vehicle sharing system that allows the user to use a shared vehicle having a battery with a reduced risk of the battery running out, a management server (1) includes a management information database (122) configured to store information on (i) a plurality of shared-vehicle standby locations (2) at each of which a motor-assisted bicycle(s) (3) having a battery (302) is on standby, (ii) a motor-assisted bicycle(s) (3), and (iii) the destination desired by the user; and a location specifying section (115) configured to, in a case where the location specifying section (115) has determined that the remaining battery power of the motor-assisted bicycle (3) that the user is using is not enough to continue to travel to the destination desired by the user, specify a transfer location.

Abstract: A method in a navigational controller includes: obtaining (i) a plurality of task fragments identifying respective sets of sub-regions in a facility, and (ii) an identifier of a task to be performed by a mobile automation apparatus at each of the sets of sub-regions; selecting an active one of the task fragments according to a sequence specifying an order of execution of the task fragments; generating a path including (i) a taxi portion from a current position of the mobile automation apparatus to the sub-regions identified by the active task fragment, and (ii) an execution portion traversing the sub-regions identified by the active task fragment; during travel along the taxi portion, determining, based on a current pose of the mobile automation apparatus, whether to initiate execution of another task fragment; and when the determination is affirmative, updating the sequence to mark the other task fragment as the active task fragment.

Abstract: Implementations described and claimed herein provide systems and methods for interaction between a user and a machine. In one implementation, machine status information for the machine is received at a dedicated machine component. The machine status information is published onto a distributed node system network of the machine. The machine status information is ingested at a primary interface controller, and an interactive user interface is generated using the primary interface controller. The interactive user interface is generated based on the machine status information. In some implementations, input is received from the user at the primary interface controller through the interactive user interface, and a corresponding action is delegated to one or more subsystems of the machine using the distributed node system network.

Abstract: A method for driving a motor vehicle in an at least semiautomated manner. The method includes: receiving surrounding-area signals, which represent a first region of a surrounding area of the motor vehicle monitored with the aid of a surround-sensor system of the motor vehicle; receiving information signals, which represent information that is ascertained outside of the motor vehicle and is in regard to a second region of the surrounding area of the motor vehicle; generating and outputting control signals for controlling the lateral and/or longitudinal guidance of the motor vehicle on the basis of the surrounding-area signals and the information signals, in order to drive the motor vehicle in an at least semiautomated manner on the basis of the first region and the second region of the surrounding area of the motor vehicle. A device, a computer program, and a machine-readable storage medium, are also described.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for allowing vehicles access or egress from a dedicated roadway. In some implementations, a system includes a server, an interface, and sensors. The interface receives data from a railroad system that manages a railroad running parallel to a first roadway. The sensors are positioned in a location relative to the first and second roadway. Each sensor can detect vehicles on the second roadway. For each detected vehicle, each sensor can generate first sensor data based on the detected vehicle and the data received at the interface. Second sensor data can be generated based on activities on the first roadway. Observational data can be generated based on the first and second sensor data. An instruction can be determined to allow the detected vehicle access to the first roadway. The instruction can be transmitted to the detected vehicle.

Abstract: According to one embodiment, a platooning operation system organizes a platoon by making a plurality of vehicles cooperate. The platooning operation system includes an application acceptance processor and a platoon organization processor. The application acceptance processor accepts an application of a vehicle for admission to the platoon. The platoon organization processor which selects a platoon to which the vehicle is to be admitted or determines possibility of admission of the vehicle to the platoon, based on at least one of information on a driver driving the vehicle and information on the vehicle.

Abstract: A system and method for allocating drivers to procure targets, such as automobiles. These targets are then transported to a desired drop-off destination. The entire system is automated, such that a requestor may hire drivers that are certified by the system and would satisfy requirements associated with the target, such as proper driver's license and location of the driver relative to the target. The system is powered by an internet based mobile application that is designed to match individual drivers to auto dealers, auction houses, driving transport companies and other businesses and individuals (“requestors”) seeking to move automobiles, goods, services, tasks, etc. from one location to another. The system has been designed to find, organize, and manage drivers and all aspects of the trip on a real time basis and reduce the cost of the existing system.

Abstract: An environmental safety system may comprise a plurality of first sensors each located at a predetermined physical location of a traffic intersection and with a predetermined orientation. The system may have a memory storing executable instructions. The system may have one or more processors in communication with the plurality of first sensors and the memory. The one or more processors may be programmed by the executable instructions. The system may receive first sensor data captured at a time point and by the plurality of first sensors. The system may determine values of one or more parameters of an object of interest within a threshold distance of the traffic intersection using the first sensor data. The system may generate an information object comprising the values of the one or more parameters of the object of interest, the time point, and a signature of the information object. The system may transmit, via a communication network, the information object.

Abstract: The system includes a server and an on-vehicle device of a vehicle. The on-vehicle device includes a collecting unit for collecting sensor information detected by a sensor on the vehicle, a transmission unit for transmitting the sensor information collected by the collecting unit, to the server via a communication line, a reception unit for receiving data including a line speed of the communication line in an expected traveling area of the vehicle, from outside of the vehicle, a line management unit for determining, as a predicted line speed, the line speed of the communication line at an expected traveling position of the vehicle in a future, on the basis of the data received by the reception unit, and a control unit for determining a parameter relevant to transmission of the sensor information collected by the collecting unit to the server, on the basis of the predicted line speed.

Abstract: To reduce the effects of traffic jams, a traffic reduction system identifies road segments having more a threshold amount of traffic. The traffic reduction system also receives an indication of a current location of a client device operating in a vehicle and compares the current location to the locations of the identified road segments to determine whether the vehicle is on or approaching the road segment. If the vehicle is on or approaching the road segment, the traffic reduction system determines a target speed for the vehicle to maintain an equal distance between the vehicle and the vehicle in front of the vehicle and the vehicle and the vehicle behind the vehicle. The traffic reduction system then provides the target speed to the client device for display on a user interface. By maintaining equal distances between vehicles in front of and behind each other, the amount of traffic dissipates.

Abstract: A process of augmenting images of incident scenes with object descriptions retrieved from an audio stream. In operation, an electronic computing device detects an object of interest in an image captured corresponding to an incident scene and identifies an audio stream linked to an incident identifier of an incident that occurred at the incident scene. The electronic computing device then determines whether the audio stream contains an audio description of the detected object of interest. When it is determined that the audio stream contains the audio description of the detected object of interest, the electronic computing device generates a visual or audio prompt corresponding to the audio description of the detected object of interest and plays back the visual or audio prompt via a corresponding display or audio-output component communicatively coupled to the electronic computing device.

Abstract: A first vehicle includes a communication device configured to send and receive V2V information, a memory configured to store the V2V information, and a processor configured to perform abnormal traveling determination processing. A second vehicle includes a communication device configured to send and receive the V2V information, a memory configured to store the V2V information and driving environment information on the second vehicle, and a processor configured to perform objective determination processing. In the objective determination processing, whether the first vehicle is traveling abnormally is objectively determined based on the driving environment information on the second vehicle. The determination result of the objective determination processing is sent to the first vehicle. In the abnormal traveling determination processing, whether the first vehicle is traveling abnormally is determined based on this determination result.

Abstract: An apparatus and method for determining a traffic level in the future. A road network including graph edges for a plurality of intersections and graph nodes for a plurality of road links is identified. A road link of interest is selected from the plurality of road links. A set of related link subset are calculated for the selected road link. Historical data is queried for the related link subset. A predicted traffic level is calculated for the selected road link in response to the historical data for the related link subset.

Abstract: A reference cost and a variable cost are included in a link cost for setting a set route for causing a setting vehicle to travel to a destination on a travelable route. A controller obtains an adjusted variable cost by adjusting a variable cost using a priority adjustment value set higher as a priority for arriving more quickly at a destination decreases, determines a link cost for each link in a candidate route, which is a candidate for a set route for a setting vehicle, based on the adjusted variable cost and the reference cost, obtains a route cost for each candidate route based on the link costs, and sets the set route based on the route costs of the candidate routes.

Abstract: An information management apparatus acquires location information of one or more vehicles having electric power of only a first battery as a power source and a remaining level of the electric power of the first battery, acquires information of a surplus power accumulated in a second battery that is installed in each of a plurality of facilities and is capable of supplying electric power to devices installed in the facility and location information of the facility, and provides the location information of the facility to the vehicle in a case in which the remaining level of the electric power of the first battery is equal to or lower than a first threshold, the facility being in which the second battery of which the surplus power is equal to or higher than a second threshold is disposed and being present within a predetermined distance from a vehicle.

Abstract: A vehicle control device includes an external situation recognition unit configured to recognize a crossing person who crosses over a path of a vehicle and acquire information on the crossing person and information on an environment where the crossing person crosses, a scheduled departure time deciding unit configured to decide a scheduled departure time of the vehicle based on the information on the crossing person and the environment where the crossing person crosses when the crossing person is recognized by the external situation recognition unit, and an informing controller configured to perform a control to inform an outside of the vehicle of the scheduled departure time. The scheduled departure time deciding unit predicts a crossing completion time at which the crossing person recognized by the external situation recognition unit completes the crossing and decides the scheduled departure time based on the crossing completion time.

Abstract: The present invention discloses a method and system for evaluating road safety based on multi-dimensional influencing factors, and relates to the field of road safety technologies. Based on historical traffic data and corresponding safety influencing factors, safety evaluation models in different dimensions are respectively constructed, and road safety risk exposure is classified flexibly. The safety evaluation models in macro and micro dimensions are linked by using a constraint function, and influence mechanisms of the safety influencing factors are determined respectively. Specifically, a safety evaluation model is constructed and obtained for each sub-region in a limited region range. The safety evaluation model is applied to obtain influencing factors of safety of each traffic road in the sub-region, and safety evaluation is performed on the sub-region.

Abstract: A vehicle such as an autonomous or self-driving vehicle has a navigation system for displaying, on a display screen, a user interface presenting a map showing multiple routes. The vehicle includes a traffic-prioritization processor configured to cooperate with the navigation system to present prices and travel times for the multiple routes via the user interface to enable a user of the vehicle to select one of the multiple routes based on both the prices and the travel times displayed on the display screen. The vehicle further includes a radiofrequency data transceiver configured to cooperate with the traffic-prioritization processor to communicate with one or more other vehicles or a central server to negotiate a traffic reprioritization for a user-selected route.

Abstract: An object detection apparatus includes an input port that receives information on a plurality of objects in surroundings of a vehicle and information on a traffic environment of the vehicle, the plurality of objects being detected by a sensor installed on the vehicle, a controller that determines, based on the information on the plurality of objects and the information on the traffic environment, priority for each of the plurality of objects and determines first information based on the priority in a case where the total amount of information on the plurality of objects is greater than a determined value, the first information being information on part of the plurality of objects, and an output port that outputs the first information to an in-vehicle apparatus that controls the vehicle.

Abstract: A vehicle control method and system, including: receiving road friction information indicating road friction estimates for a plurality of regions surrounding the vehicle; detecting and determining a predicted trajectory for an object within the plurality of regions surrounding the vehicle; wherein the predicted trajectory for the object is determined based in part on the road friction estimates for the plurality of regions surrounding the vehicle; and modifying operation of the vehicle based on the predicted trajectory for the object. The predicted trajectory for the object is determined based in part on a risk map for the plurality of regions surrounding the vehicle that is generated from a road friction map for the plurality of regions surrounding the vehicle.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for implementing critical section subgraphs in a computational graph system. One of the methods includes executing a lock operation including providing, by a task server, a request to a value server to create a shared critical section object. If the task server determines that the shared critical section object was created by the value server, the task server executes one or more other operations of the critical section subgraph in serial. The task server executes an unlock operation including providing, by the task server, a request to the value server to delete the shared critical section object.

Abstract: The present disclosure discloses a method and system for assisting a robot to navigate in a warehouse setting. In some embodiments, robot is configured to receive a reserved route and move according to the reserved route as it navigates inside a warehouse. A reserved route includes one or more waypoints. Each waypoint represents a location and a size, the size being the space needed for accommodating a robot at the location. The one or more waypoints are listed in a sequence for a robot to follow sequentially. In some embodiments, each waypoint may further include a timestamp representing the time that the robot given the reserved route is supposed to arrive at the location.

Abstract: An approach is provided for resolving an inconsistency in road closure data stored in a mapping platform. The approach, for example, involves processing map data to generate a roadway graph representing a spatial relationship between a first road segment and a second road segment. The spatial relationship indicates that a first closure state of the first road segment cannot differ from a second closure state of the second road segment. The approach also involves determining that the inconsistency in the road closure data for the first road segment and the second road segment indicates that first closures state and the second closure state do not match. The approach further involves changing the road closure data stored in the mapping platform either to match the first road closure state with the second road closure state, or to match the second road closure state with the first road closure state in response to the inconsistency.

Abstract: [Solving Means] A traffic control device according to an embodiment of the present invention is a traffic control device that controls a traffic light installed on a route of a vehicle running on the basis of an operation diagram, including: an acquisition unit; a determination unit; and a signal generation unit. The acquisition unit acquires, from the vehicle, vehicle information including information regarding the operation diagram and a current position of the vehicle. The determination unit calculates, on the basis of the vehicle information, an estimated time of arrival at the traffic light, and determines whether or not the estimated time is on a scheduled time. The signal generation unit generates, where it is determined that the estimated time is delayed from the scheduled time, a control signal for causing the traffic light to execute signal control for preferentially causing the vehicle to pass therethrough.

Abstract: A multi-intelligence federated reinforcement learning (FRL)-based vehicle-road cooperative control system and method at the complex intersection use a vehicle-road cooperative control framework based on the Road Side Unit (RSU) static processing module and the vehicle-based dynamic processing module. The historical road information is supplied by the proposed RSU module. The Federated Twin Delayed Deep Deterministic policy gradient (FTD3) algorithm is proposed to connect the federated learning (FL) module and the reinforcement learning (RL) module. The FTD3 algorithm transmits only neural network parameters instead of vehicle samples to protect privacy. Firstly, FTD3 selects only specific networks for aggregation to reduce the communication cost. Secondly, FTD3 realizes the deep combination of FL and RL by aggregating target critic networks with smaller Q-values. Thirdly, RSU neural network participates in aggregation rather than training, and only shared global model parameters are used.

Abstract: A vehicle right-of-way management method and apparatus, and a terminal. The method includes: determining a used right-of-way level of a first vehicle according to function information of the first vehicle, where the used right-of-way level of the first vehicle includes a right-of-way level that the management device allows the first vehicle to use; and scheduling a road resource for the first vehicle according to the used right-of-way level of the first vehicle. In technical solutions provided in embodiments of this application, the management device can allocate different used right-of-way levels to vehicles with different functions according to function information of the vehicles, and schedule and allocate road resources by means of overall planning for the vehicles in a transportation system according to the used right-of-way levels of the vehicles.

Abstract: A technique is provided for determining a loss risk assessment score for a vehicle trip. The technique includes, at a vehicle, a computing device receiving first information indicative of operation of the vehicle. The technique also includes, at the vehicle, the computing device receiving second information indicative of an environment at a particular location and time. The computing device correlates the first information and the second information to generate a data set. The technique also includes determining a score for the vehicle trip based at least in part upon the generated data set.

Abstract: A method for assisting a driver of a vehicle with driving of the vehicle is disclosed, in which the surroundings of the vehicle are detected. The detection of the surroundings comprises the course of driving paths as well as movement data relating to other road users. Historic data obtained at least from past driving maneuvers by road users in the detected surroundings are called up for the surroundings, the detected surroundings of the vehicle are analyzed and a traffic situation of the vehicle in relation to at least one second road user of the other detected road users is determined. A likely driving maneuver of the second road user is predicted based on the called-up historic data and the current traffic situation, and a control signal for assisting the driver with driving of the vehicle is generated depending on the predicted driving maneuver of the second road user.

Abstract: A method for operating a heating device for controlling the temperature of a radome of a radar sensor of a vehicle includes the steps of: receiving surroundings data that describe surroundings of the vehicle and/or at least one area of the radome of the vehicle, detecting a deposit of a precipitation on the radome on the basis of the surroundings data, outputting a heating signal to the heating device in order to control the temperature of the radome on the basis of the detected deposit of the precipitation. The surroundings data received are image data from at least one camera of the vehicle. The image data are used to detect the precipitation in the surroundings and/or on the area of the radome.

Abstract: Disclosed herein is a virtual pedestrian traffic light (VPTL) system and method that provides an infrastructure-free way to provide the right-of-way to pedestrians at intersections. The invention is most effective when integrated with existing virtual traffic light (VTL) systems to provide complete infrastructure-free control of traffic at intersections.