Abstract: This document discloses system, method, and computer program product embodiments for operating a vehicle, comprising: using kinematic models to generate forecasted trajectories of an actor (the kinematic models being respectively associated with different actor types that are assigned to an actor detected in an environment of the vehicle); selecting a first kinematic model based on the forecasted trajectories and a kinematic state of the actor; using the first kinematic model to predict a first path for the actor; selecting a second kinematic model responsive to movement of the actor no longer being consistent with typical movement of an object of one of the different actor types that is associated with the first kinematic model; using the second kinematic model to predict a second path for the actor; and controlling operations of the vehicle based on the first and second paths.

Abstract: A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: configuring a sensor noise modeling module to produce simulated sensor errors or noise data with a configured degree, extent, and timing of simulated sensor errors or noise based on a set of modifiable parameters; using the simulated sensor errors or noise data to generate simulated perception data by simulating errors related to constraints of one or more of a plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors; and providing the simulated perception data to a motion planning system for the autonomous vehicle.

Abstract: This invention is directed to an information processing apparatus that efficiently evaluates artificial intelligence for performing virtual automated driving of a virtual vehicle. This information processing apparatus comprises a generator that generates, from driving environment information generated by a driving environment simulator that simulates a virtual driving environment of a virtual vehicle, driving environment information representing a driving environment in which the virtual vehicle is readily put in a dangerous state and to be provided to artificial intelligence for performing automated driving of the virtual vehicle, an acquirer that acquires a virtual driving result obtained by performing the virtual automated driving of the virtual vehicle by the artificial intelligence in the virtual driving environment, and an evaluator that evaluates performance of the artificial intelligence from the virtual driving result of the virtual automated driving by the artificial intelligence.

Abstract: The information processing server includes an unstable behavior position recognition unit configured to recognize an unstable behavior position being a position on a map, at which the target vehicle has performed an unstable behavior, based on the target vehicle data, a support target vehicle determination unit configured to, when the unstable behavior position recognition unit recognizes the unstable behavior position, determine whether or not there is a support target vehicle, based on the unstable behavior position and the target vehicle data, the support target vehicle being the target vehicle estimated to perform the unstable behavior at the unstable behavior position within a predetermined time, and a vehicle support unit configured to, when the support target vehicle determination unit determines that there is the support target vehicle, perform, on the support target vehicle, a vehicle support for suppressing performing of the unstable behavior at the unstable behavior position.

Abstract: A method, non-transitory computer readable medium, and apparatus that improves automated damage appraisal includes analyzing one or more obtained images of property using a deep neural network with multiple hidden layers of units between an input and output and which has stored knowledge data encoded from one or more stored property damage images to identify the part of the vehicle that has sustained damage. Damage data on an extent of the damage in the identified part of the vehicle is determined using the deep neural network which has stored knowledge data encoded from one or more stored property damage images. The identified generic part of the vehicle is used to obtain a corresponding Part ID Code by using a parts dictionary. Part Qualifier information obtained using VIN information is then used in conjunction with the Part ID to obtain the OEM-specific part and then generate one or more repair lines for the repair estimate.

Abstract: An autonomous vehicle simulation system for analyzing motion planners is disclosed. A particular embodiment includes: receiving map data corresponding to a real world driving environment; obtaining perception data and configuration data including pre-defined parameters and executables defining a specific driving behavior for each of a plurality of simulated dynamic vehicles; generating simulated perception data for each of the plurality of simulated dynamic vehicles based on the map data, the perception data, and the configuration data; receiving vehicle control messages from an autonomous vehicle control system; and simulating the operation and behavior of a real world autonomous vehicle based on the vehicle control messages received from the autonomous vehicle control system.

Abstract: A method is provided for operating a railway network having a number of trains, the method comprises operating a scheduling machine that is in communication with the railway network over a data communication system, to receive time separated state data defining states of the railway network at respective times. The scheduling machine accesses a model of the railway network that is stored in an electronic data source. The model defines locations in the railway network that allows for passing of trains and paths for journeys of each of the trains. The method includes operating the scheduling machine to apply the state data to the model to determine, at each of the respective times, controls associated with each trains' path for each of the trains.

Abstract: Provided is a method and system for automating property inspection for prevention of insurance claims or losses using an Artificial Intelligence (AI)-based classifier. The method and system includes accessing digital images corresponding to a property. A trained AI-based classifier classifies the digital images into one or more AI containers based on inspection points and sub-inspection points in relation to the property. Each AI container comprises one or more secondary AI models. The one or more secondary AI models in a respective AI container, detect a condition pertaining to one or more components identified in the digital images, by analyzing the digital images based on the inspection points and sub-inspection points associated with the respective AI container. A signal indicative of insurance loss based on the detected condition pertaining to the one or more components is then derived. An inspection report providing recommendations for action plans is further generated.

Abstract: When a gateway, which provides one or more drivetrain domain specific knowledge services and include one or more simulation tools, receives a request relating to a drivetrain, the request containing identification information identifying one or more components of the drivetrain, and possibly one or more operation conditions, the gateway retrieves, based on the identification information, component information on one or more components of the drivetrain, the component information indicating for each component a component type. The gateway also retrieves, based on one or more component types in the component information and received one or more operation conditions, if any received, one or more values. Then the gateway uses at least the retrieved one or more values as input for a simulation; and outputs a simulation result for the drivetrain and/or for one or more of components the drivetrain.

Abstract: A computer-implemented method of simulating operation of an electric drive unit to predict one or more performance parameters of the electric drive unit is provided. The electric drive unit comprises at least an electric motor. The method comprises obtaining parameters defining physical properties of the electric motor, obtaining parameters defining drive currents for driving the electric motor, processing the obtained parameters using a machine learning module trained a priori to predict a spatially varying electromagnetic and/or mechanical and/or thermal profile within the electric motor during operation, and providing as output a predicted profile for the electric motor, and using the predicted profile to compute the one or more performance parameters of the electric drive unit.

Abstract: A vehicle is received in a stationary controlled area of a controlled testing environment. Simulation inputs corresponding to a simulated scene are generated and transmitted to the vehicle. The vehicle applies torque in response. A vehicle control mechanism of the controlled testing environment, such as a chassis dynamometer, a motorized treadmill, or a lift, keeps the vehicle within the stationary controlled area during the test despite the torque applied by the vehicle. A path of the vehicle within the simulated scene is determined based on the applied torque, based upon which the vehicle's navigation system is calibrated.

Abstract: A software update system includes: a vehicle data acquiring unit configured to acquire data on a state of a vehicle including data of a predetermined performance of the vehicle; an effect predicting unit configured to predict an effect on the predetermined performance which is obtained when update data of software used in the vehicle for improvement of the predetermined performance is applied to the vehicle based on the data acquired by the vehicle data acquiring unit; and a delivery unit configured to deliver the update data to the vehicle when the effect predicted by the effect predicting unit satisfies a predetermined reference and to withhold delivery of the update data to the vehicle when the effect predicted by the effect predicting unit does not satisfy the predetermined reference.

Abstract: To provide evaluation by using a virtual video image generated by performing an optical image processing for lightness and distortion required by an evaluation object. An evaluation apparatus for a camera system including a camera for capturing a video image of outside view includes: a video generation unit for generating a simulation video image simulating the video image of outside view captured by the camera; an optical filter unit which performs an optical image processing on the simulation video image in order to simulate the video image outputted from the camera; and a camera image processing unit which generates a vehicle control signal by performing a recognition processing by using the processed video image.

Abstract: Collision filtering for autonomous vehicle simulations is disclosed herein. A simulation system can be configured to identify a simulated collision involving a simulated autonomous vehicle and a simulated agent representing an obstacle with which the simulated autonomous vehicle may collide. For example, the simulated collision can be simulated based on logged data from a real-world autonomous vehicle. The simulation system can classify the simulated collision as unrealistic or realistic. For example, classification can involve considering a nature of the simulated agent (including, e.g., whether the simulated agent is a drivable obstacle), a nature of the collision, whether the collision is avoidable through an evasive maneuver, whether the collision is similar to a known false positive, and/or input from a human operator.

Abstract: A system for expanding the operational design domain (ODD) of an autonomous agent includes a decision-making platform (equivalently referred to herein as a decision-making architecture). A method for expanding the operational design domain (ODD) includes determining a decision-making architecture for a first domain and adapting the decision-making architecture to a second domain. Additionally or alternatively, the method 200 can include implementing the decision-making architecture S300 and/or any other processes.

Abstract: A method analyzes conditions of technical components in view of a rarity and/or an abnormality of a condition. To provide a reliable analysis and thus a safely operating system the method includes: a) describing conditions of the technical components in a behavioral input space that is spanned by state variables, which are characteristic for the technical components, b) analyzing a condition of one technical component in respect to other conditions of this technical component in the behavioral input space, whereby a rarity of this condition of the technical component is detectable, and c) analyzing the condition of the technical component also in respect to analyses of conditions of further technical components in the behavioral input space. Whereby an abnormality of the condition of the technical component is detectable.

Abstract: A method, medium, and apparatus for allowing evaluation of property, such as damaged property, remotely and efficiently. A mobile computing device may be used to conduct bilateral communication between a client and an agent for evaluating property. Systems and methods may be used to efficiently automate intake of communications and intelligently load-balance resources for handling calls.

Abstract: A system and method for detecting and qualifying stop sign compliance by a moving vehicle includes a computing device configured to process a video recording from a camera observing the stop sign zone. The computing device may be configured to identify a start frame and an end frame when the vehicle is respectively at a virtual start line of a stop sign zone and the end line thereof. The number of frames inbetween may be used to calculate the time of the vehicle traveling through the stop sign zone. The speed of the vehicle is determined using a scale factor from any recognized object with known dimensions such as the stop sign itself, the stop line, or the license plate. The position of the start line and stop line may be adjustable via user interface based on local conditions and preferences.

Abstract: Methods of identifying corner case simulation scenarios that are used to train an autonomous vehicle motion planning model are disclosed. A system selects a scene that includes data captured by one or more vehicles over a time period. The data includes one or more actors that the vehicle's sensors perceived over the time period in a real-world environment. The system selects a scene that includes a safety threshold violation, and it identifies the trajectory of an actor that participated in the violation. The system generates simulated scenes that alter the trajectory of the actor in the selected scene, selects simulated scenes that are more likely to occur in the real world and that may include safety threshold violations that go beyond any that may be found in the original scene, and uses the selected simulated scenes to train an autonomous vehicle motion planning model.

Abstract: A computer-implemented method of simulating operation of an electric drive unit to predict one or more performance parameters of the electric drive unit is provided. The electric drive unit includes at least an electric motor. The method includes obtaining parameters defining physical properties of the electric motor, obtaining parameters defining drive currents for driving the electric motor, processing the obtained parameters using a machine learning module trained a priori to predict a spatially varying electromagnetic and/or mechanical and/or thermal profile within the electric motor during operation, and providing as output a predicted profile for the electric motor, and using the predicted profile to compute the one or more performance parameters of the electric drive unit.

Abstract: A damping force control apparatus for a vehicle in which road surface displacement-related information detected by an in-vehicle detection device is transmitted to a preview reference database control device together with detection position information, a preview reference database including road surface displacement-related values is made, preview damping control that reduces vibration of a sprung of the vehicle is performed using the road surface displacement-related values in the preview reference database, and it is assumed that a road surface displacement-related value in a predetermined adjacent region located in a direction crossing a traveling direction of the vehicle with respect to a point where the road surface displacement-related information was detected by the in-vehicle detection device is the same as the road surface displacement-related value at the above point.

Abstract: A method for analyzing fuselage profile based on measurement data of an aircraft, including: acquiring point-cloud data of an aircraft via a laser scanner; selecting point-cloud data of a fuselage component from the point-cloud data of the aircraft; based on a weighted locally optimal projection (WLOP) operator and Ll median curve-skeleton concept of point cloud, extracting a medial axis from the point-cloud data of the fuselage component; uniformly sampling the medial axis into a plurality of skeleton points; extracting a discrete point set of a cross-section contour of the fuselage component; performing circle fitting on the discrete point set to obtain a fitted circle and parameters thereof; calculating a deformation displacement measurement indicator ? of the cross-section of the fuselage component to evaluate cross-section contour of the fuselage.

Abstract: Systems and methods for using parametric modeling to design scenarios for autonomous vehicle simulation are provided. In particular, a computing system can obtain data identifying a plurality of parameters, each parameter associated with a particular scenario component. The computing system can determine values associated with a first set of parameters in the plurality of parameters. The computing system can determine one or more parameter relationships, such that values associated with a second set of parameters in the plurality of parameters are determined, at least in part, based on the values associated with the first set of parameters. The computing system can initiate a simulation of a scenario based, at least in part, on the values associated with the first set of the parameters and the one or more parameter relationships. The computing system can determine whether the simulated autonomous vehicle has successfully completed the scenario.

Abstract: An information processing device includes a control unit configured to determine whether to include a regenerative brake in specifications of a proposed vehicle based on regenerative brake operation data acquired while a first vehicle including the regenerative brake is traveling in a predetermined area. The proposed vehicle is a vehicle proposed as a vehicle for a customer to drive in the predetermined area.

Abstract: Various embodiments of the present disclosure are directed to a method for carrying out a test run on a test stand. The method in some embodiments reduces a deviation between a comparison simulation value and a comparison reference value when carrying out a test run on a test stand with a test object by simulating via a simulation unit a number of simulation values using a number of specified reference values starting from a selected reference value, determining a corrected reference value which is specified to the simulation unit for simulating a corrected simulation value and determining at least one setpoint variable using the corrected simulation value.

Abstract: In some embodiments, a computer-implemented method for measuring motion values associated with movements of an object as the objects drives along a track comprises: receiving, using a wireless network transceiver, experiment instructions for performing an experiment; generating, based on the experiment instructions, driving instructions for causing the object to drive along the track; executing the driving instructions to cause the object to drive along the track; as the object is driving along the track: receiving, from one or more sensors, motion values associated with the movements of the object as the object drives along the track; transmitting, using the wireless network transceiver, the motion values associated with the movements of the object to one or more user devices to cause a user device, from the one or more user devices, to generate and display a graphical representation of the motion values on a display device of the user device.

Abstract: A full-scale resistance prediction for ships. More particularly, the invention is directed to full-scale resistance predictions for ships using model scale resistance tests. This process involves the designing of a momentum thickness similarity simulator for a model, to accurately determine a model resistance and ultimately to predict a ship resistance. The simulator modifies the geometry of the model, and its design is optimized to accurately predict the ship resistance. The simulator may be an external device such as a wire ring (trip wire), sand paper, or a Hama strip, or the simulator may be integrally formed on the body of the model.

Abstract: A system and method for monitoring vehicle performance and updating engine control parameters, which provides a solution to the problem of tuning engine control parameters for a vehicle. The core components of the invention are an engine controller coupled to an interface device which communicates with a remote device. Generally speaking, the components are configured as follows: the engine controller receives signals from various sensors in a vehicle and the engine controller controls the engine based on engine control parameters and the signals from the sensors. The interface device monitors the engine control and sensor signals and transmits information to the remote device. The remote device receives the information and sends back updated engine control parameters. The interface device receives the updated engine control parameters and communicates with the engine controller to update the engine control parameters using the updated engine control parameters.

Abstract: A system and method of capturing a voicer's voice data to illuminate features of their own physiology and produce voice-driven internal imaging. Data encoded within the voice is captured, decoded, modeled and simulated. Using vibrations of a voicer's voice as the input, features of their own physiology are outputted in the format of an internal image.

Abstract: There is provided a process for evaluating software comprising extracting data (12) relating to metrics from a plurality of software elements (10), each metric representing a dimension of a first reference system, using the extracted data to create a second reference system (16) based on variance in the extracted data, calculating the position of each software element in the second reference system and displaying the position of each software element in the second reference system in a maximum of three dimensions thereby to show in a graphical form the inter-relationship of the software elements to each other. The position of each software element in the second reference system (16) retains the extracted data for examination.

Abstract: An autonomous vehicle simulation system for analyzing motion planners is disclosed. A particular embodiment includes: receiving map data corresponding to a real world driving environment; obtaining perception data and configuration data including pre-defined parameters and executables defining a specific driving behavior for each of a plurality of simulated dynamic vehicles; generating simulated perception data for each of the plurality of simulated dynamic vehicles based on the map data, the perception data, and the configuration data; receiving vehicle control messages from an autonomous vehicle control system; and simulating the operation and behavior of areal world autonomous vehicle based on the vehicle control messages received from the autonomous vehicle control system.

Abstract: An automatic modeling method for a user-defined vehicle controller includes: configuring a component model; generating a description file; summarizing component input and output signals/parameters; and creating the user-defined vehicle controller. A template and data required by the user is provided to automatically build a vehicle controller port model, and a vehicle controller policy model framework to assist the user to quickly and flexibly build the vehicle controller model is provided. The problem of low efficiency in building various user-defined vehicle controller models for different vehicle types is solved. The user develops a vehicle controller policy model under the given model framework, and the model can run directly without additional configuration of port signals. The user can modify the vehicle controller policy model online in real time, which solves the problem that the application configuration of the vehicle controller is complex and cannot be updated online in real time.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing an electrical grid by controlling devices connected to the electrical grid. In one aspect, a method comprises: autonomously determining whether a control strategy update criterion is satisfied, and in response to determining that the control strategy update criterion is satisfied: identifying: (i) a plurality of devices connected to the electrical grid, and (ii) one or more objectives to be satisfied by the plurality of devices; generating, for the plurality of devices and for a plurality of controls, simulated data that simulates operation of the plurality of devices based on application of the plurality of controls; and identifying, by an optimization procedure and based on at least the simulated data, a respective control to be applied to each of the plurality of devices to satisfy the objectives.

Abstract: A pressure-resistant hull for a submersible, includes unit hulls, reinforcing ribs, connecting channels, and closure heads. A plurality of unit hulls are provided, and are sequentially strung together spiralling upward or spiralling downward, the closure heads being arranged on the unit hulls at the first position and the last position respectively, an observation window being provided on each unit hull respectively, adjacent two unit hulls in a horizontal direction being respectively connected by means of a reinforcing rib, and at least two connecting channels being provided between adjacent two rings of the unit hulls in the vertical direction. The design method includes using a spiral joining structure to facilitate organic adjustment of the number of unit hulls, thus having better utilization of space and aiding to greatly expand the space. The sensitivity of the limit load to defects is low, increasing axial rigidity, improving the overall pressure-resistive ability.

Abstract: At a portable electronic device that includes a portable-device display and is in communication with a vehicle display, displaying a first user interface on the portable-device display. Sending, from the portable electronic device to the vehicle display, information for generating a second user interface, the second user interface including an affordance. While the second user interface is displayed on the vehicle display, detecting an input activating the affordance in the second user interface, and in response, causing the portable electronic device to invoke a digital assistant. In response to invoking the digital assistant, prompting a user for an audible request. In response to receiving the audible request, causing display, within the second user interface, of a digital assistant dialogue box; and subsequently causing display, within the second user interface, of a user interface object associated with a search result, and maintaining the first user interface on the portable-device display.

Abstract: Disclosed is a robust topology optimization design method of a damping composite stiffened cylindrical shell box structure, comprising: constructing working load data, and obtaining circumferential target modal frequencies based on the working load data and the stiffened cylindrical shell box; laying constrained layer damping materials on the stiffened cylindrical shell box to construct a damping composite stiffened cylindrical shell box; constructing interval parameters based on the damping composite stiffened cylindrical shell box, and obtaining modal loss factor based on the interval parameters; constructing an objective function based on the modal loss factors, constructing design variables and constraint conditions based on the damping composite stiffened cylindrical shell box, integrating the objective function, design variables and constraint conditions to form an interval robust topology optimization model; updating the design variables based on the interval robust topology optimization model, and obt

Abstract: A method for parameterizing an electrochemical battery model of a specific battery of a device, includes providing a current operating feature point of the specific battery and operating feature points of further batteries of a plurality of further devices for various evaluation periods. The operating feature points of the further batteries characterize an operation of a respective further battery within one or more of the evaluation periods based on several operating features. The several operating features are produced depending on characteristics of operating variables of the respective further battery. The method further includes selecting operating feature points of the further batteries that are similar to the current operating feature point of the specific battery, and providing model parameters of the electrochemical battery model that are associated with the current operating feature point and the selected operating feature points.

Abstract: A network device receives, from multiple smart cameras located at different road segments of multiple real-world road segments, first data describing a location and configuration of each of the multiple real-world road segments, and second data describing movement of one or more objects at each of the multiple real-world road segments. The network device generates multiple virtual road segments based on the first data, wherein each of the multiple virtual road segments describes one of the multiple real-world road segments; and uses a physics engine to simulate, based on the generated multiple virtual road segments and the second data, movement of vehicles or pedestrians through the multiple real-world road segments to analyze traffic characteristics, trends or events. The network device generates road segment alterations for reconfiguring one or more of the multiple real-world road segments based on the analysis of the traffic characteristics, trends, or events.

Abstract: Techniques for determining a safety metric associated with a vehicle controller are discussed herein. To determine whether a complex system (which may be uninspectable) is able to operate safely, various operating regimes (scenarios) can be identified based on operating data and associated with a scenario parameter to be adjusted. To validate safe operation of such a system, a scenario may be identified for inspection. Error metrics of a subsystem of the system can be quantified. The error metrics, in addition to stochastic errors of other systems/subsystems can be introduced to the scenario. The scenario parameter may also be perturbed. Any multitude of such perturbations can be instantiated in a simulation to test, for example, a vehicle controller. A safety metric associated with the vehicle controller can be determined based on the simulation, as well as causes for any failures.

Abstract: In a first aspect, a method for optimizing efficiency of a transport provider is provided, comprising: receiving, by a processor, a first departure time of a vehicle, which is administered by the transport provider, at a first location; receiving, by the processor, a second departure time of the vehicle at a second location which is located after the first location; determining, by the processor, a difference between the first departure time and the second departure time; and updating, by the processer, a current schedule to provide an updated schedule in response to the determination of the difference, the updated schedule indicating an updated estimated arrival time of the vehicle at a location after the second location.

Abstract: An optimum engine configuration is determined, based on a predicted required power, for a seafaring vessel having a plurality of thrust engines. The predicted required power is determined by inputting vessel operational data, environmental data, and voyage data to a required power model. At least some of the vessel operational data and environmental data is received from a plurality of sensors positioned onboard the vessel. The optimum engine configuration is selected from a plurality of candidate engine configurations. Each candidate engine configuration includes a specified number of thrust engines running and a specified power output level of each thrust engine. The optimum engine configuration is selected based on a candidate total predicted fuel consumption of each candidate engine configuration. The candidate total predicted fuel consumption amount is determined as a sum of the engine-specific predicted fuel consumptions determined for each running thrust engine of that candidate engine configuration.

Abstract: A method of planning a platform lift, in particular a stairlift, at a stair, the platform lift including a rail, a platform, in particular a chair, a drive unit for driving the platform along the rail, wherein the platform is attached to the drive unit. The method includes acquiring 3D stair data of a stair on which the platform lift is to be installed; calculating based on the acquired 3D stair data a path of travel of the rail, and by retrieving manufacturing constraints, in particular from a database, calculating a feasible path of travel under consideration of the retrieved manufacturing constraints.

Abstract: A model can be trained to detect interactions of other drivers through a window of their vehicle. A human driver behind a window (e.g., front windshield) of a vehicle can be detected in a real-world driving data. The human driver can be tracked over time through the window. The real-world driving data can be augmented by replacing at least a portion of the human driver with at least a portion of a virtual driver performing a target driver interaction to generate an augmented real-world driving dataset. The target driver interaction can be a gesture or a gaze. Using the augmented real-world driving data set, a machine learning model can be trained to detect the target driver interactions. Thus, simulation can be leveraged to provide a large set of useful training data without having to acquire real-world data of drivers performing target driver interactions as viewed from outside the vehicle.

Abstract: A method of assessing performance of a seat is provided. The method comprises identifying a number of critical seats for testing from a layout of passenger accommodation and building a computer simulation model, following a building block approach, for each identified critical seat. A number of loads are tested on each simulation model. Critical seats are selected for physical testing from simulation model test results according to a specified criteria assessment matrix.

Abstract: A system and method may collect telematics and/or other data, and apply the data to insurance-based applications. From the data, an insurance provider may determine accurate vehicle usage information, including information regarding who is using a vehicle and under what conditions. An insurance provider may likewise determine risk levels or a risk profile for an insured driver (or other drivers), which may be used to adjust automobile or other insurance policies. The insurance provider may also use the data collected to adjust behavior based insurance using incentives, recommendations, or other means. For customers that opt-in to the data collection program offered, the present embodiments present the opportunity to demonstrate a low or moderate risk lifestyle and the chance for insurance-related savings based upon that low or moderate risk.

Abstract: A computer system is provided for processing ultrasonic data of an ultrasonic probe applied to an area of an aircraft component that includes carbon fiber reinforced polymer. C-scan data is obtained and a preliminary mesh is defined over the C-scan data by taking into account the underlying structural or mechanical characteristics of the analyzed component. The mesh is further refined and data gathered for each mesh cell. A heat map is generated based on the mesh.

Abstract: An approach is provided for calculating a payload survivability estimate and generating aerial routes based on the payload survivability estimate. The approach, for example, involves processing data, such as map data representing the geographic area to identify at least one map feature, at least one material corresponding with the at least one map feature, or a combination thereof. The payload survivability estimate can be based on real-time data, historical data, or a combination thereof. The approach also involves generating a map data layer of a geographic database based on the payload survivability estimate. The approach further involves providing the map data layer as an output.

Abstract: A warning control device provided in a vehicle is disclosed. The warning control device includes a hardware processor to: determine whether a section in which the vehicle is travelling is a section prohibited from overtaking; determine whether the vehicle is attempting an overtaking action; and, in response to determining that the vehicle is travelling in the section prohibited from overtaking and that the vehicle is attempting the overtaking action, control a warning device connected to the warning control device to warn a driver of the vehicle when the overtaking by the vehicle is not permitted in accordance with driving rules, and control the warning device not to warn the driver when the overtaking by the vehicle is permitted in accordance with the driving rules.

Abstract: Provided herein is a moving object simulation method including: a simulation preprocessing step in which a first server generates environment information for the simulation target, including at least one of road data, nearby vehicle data, nearby pedestrian data, nearby obstacle data, nearby traffic light data, nearby sign data, and event data, for a predetermined period of time; and a simulation step in which a second server calculates sensor unit output data of a simulation target vehicle according to movement of the simulation target vehicle for the predetermined period of time using the environment information, preventing computational overload due to limitations of server resources and promoting quality improvement for algorithm verification.

Abstract: Systems and methods for creating a customizable dummy finite element model for a dummy hardware model. First finite element factor profiles for the dummy hardware model that match certification corridors for the dummy hardware model are identified, a mapping function based on the first finite element factor profiles that allows second finite element model profiles for the dummy hardware model to be interpolated from the first finite element factor profiles is defined, and a customizable dummy finite element model for the dummy hardware model that incorporates the mapping function is generated.