Abstract: An embodiment pallet stacking apparatus includes a lidar installed in an unmanned forklift and configured to radiate laser light and convert range data reflected from a first cup-feet pallet to 3D point cloud data, a bird's eye view (BEV) conversion unit configured to convert the 3D point cloud data to a 2D BEV image, a cup recognition unit configured to perform channel normalization with input data of the 2D BEV image and recognize a cup position through calculation using convolutional neural network, a forklift controller configured to control operation of the unmanned forklift according to a control signal, and a control unit configured to identify a difference between a cup position of the first cup-feet pallet and a cup position of a stationary second cup-feet pallet and apply a control signal for adjustment to a matching position to the forklift controller.

Abstract: The present disclosure is directed to interactive voice navigation. In particular, a computing system can provide audio information including one or more navigation instructions to a user via a computing system associated with the user. The computing system can activate an audio sensor associated with the computing system. The computing system can collect, using the audio sensor, audio data associated with the user. The computing system can determine, based on the audio data, whether the audio data is associated with one or more navigation instructions. The computing system can, in accordance with a determination that the audio data is associated with one or more navigation instructions, determine a context-appropriate audio response. The computing system can provide the context-appropriate audio response to the user.

Abstract: Disclosed are a parking control apparatus for a vehicle and a method thereof. The parking control apparatus includes a processor that searches for at least one parking space in a parking control of a vehicle, calculates an estimated route and a required parking time for each of the at least one parking space, and performs parking control into a target parking space which is one parking space selected from the at least one parking space by a user, and a display that displays the estimated route and the required parking time for each of the at least one parking space.

Abstract: Examples disclosed herein relate to an autonomous driving system in a vehicle having a radar system with a Non-Line-of-Sight (“NLOS”) correction module to correct for NLOS reflections prior to the radar system identifying targets in a path and a surrounding environment of the vehicle, and a sensor fusion module to receive information from the radar system on the identified targets and compare the information received from the radar system to information received from at least one sensor in the vehicle.

Abstract: A system for crowdsourcing reporting of road conditions from abnormal vehicle events. Abnormal vehicle events (such as sudden braking, sharp turns, evasive actions, pothole impact, etc.) can be detected and reported to a road condition monitoring system (RCMS). The RCMS can identify patterns in reported road conditions to generate advisory information or instructions for vehicles and users of vehicles. For example, suspected obstacles can be identified and used to instruct a driver or a vehicle to slow down gradually to avoid sudden braking and sharp turns. In some examples, a vehicle can have a camera that can upload an image of a suspected obstacle (e.g., a pothole) to allow the positive identification of a road problem. This provides the RCMS with more confidence to take a corrective action, such as an automated call to a road repair service.

Abstract: The invention is related to pairing a customer with the best service provider upon a selection from the customer in on-demand transportation service. A platform in the invention provides a graphical representation of the electronic interface displaying sets of indicators that reflect transportation service relevant data corresponding to each of the available service providers and containing two or more identifications through at least a Global Positioning System (GPS) receiver. The display is corresponding to the one or more inputs provided by the customer to the two or more search parameters including a maximum number of available service providers and at least one of the following groups comprising the one or more available service providers within a time span or a distance span for arrival to a pick-up location of the customer. The sets of indicators corresponding to each of the available service providers that match the preset preferences.

Abstract: Systems and methods are disclosed for improved mapping data validation using randomness measures. Methods may include receiving a map dataset that includes a plurality of map features. A knowledge graph may be generated based on the map dataset that may include nodes representing or corresponding to the map features. Nodes corresponding to map features of a particular feature type may be identified and edges connected to the identified nodes may be processed to identify a plurality of paths. A randomness measure for the particular feature type may be determined based on the plurality of paths. The randomness measure may indicate a predictability of occurrences of map features of the particular feature type in the map dataset. The randomness measure may then be compared to a second randomness measure determined based on another map dataset.

Abstract: A device may include one or more processors configured to receive sensor data from an external sensor associated with an autonomous driving zone; generate a map of the autonomous driving zone based on the sensor data; determine that a vehicle is entering the autonomous driving zone; and transmit a signal to the vehicle based on the vehicle entering the autonomous driving zone. The signal may cause the vehicle to begin operating in a full autonomous mode. The one or more processors may be configured further to determine an objective associated with the vehicle; receive first data obtained by one or more first sensors associated with the vehicle and second data obtained by the external sensor; determine a route based on the objective, the first data, and the second data; and transmit information identifying the route to the vehicle. The route may allow the vehicle to satisfy the objective.

Abstract: Disclosed are systems and methods for predicting the destination location of a vehicle by processing a local preference graph of a user of the vehicle having nodes corresponding to locations visited by the user. In some embodiments, information about locations which have been visited one after another by users and the time between visits of the locations are also used in the prediction.

Abstract: A vehicle rescue device includes a communication unit that is communicable with an onboard communication device or a terminal device of a user of each of a plurality of electric vehicles; a receiving unit configured to store, in a storage unit, vehicle notification information received by the communication unit; a determination unit configured to determine, based on the vehicle notification information of an electric vehicle that has requested an electric power supply and the vehicle notification information of an electric vehicle that has accepted a rescue request, whether or not the electric vehicle that has accepted the rescue request can be dispatched to the electric vehicle that has requested the electric power supply; and a management unit configured to direct the electric vehicle that has accepted the rescue request to a location where electric power supply to the electric vehicle that has requested the electric power supply can be performed.

Abstract: Aspects of the disclosure relate to conducting pullover maneuvers for autonomous vehicles. For instance, a pullover location may be identified. A pullover start location may be determined for the pullover location. A first distance for the vehicle to come to a complete stop within a pullover deceleration limit may be determined based on a current speed of the vehicle. A second distance between a current location of the vehicle and the pullover start location may be determined. The first distance may be compared to the second distance to assess feasibility of the pullover location. The vehicle may be controlled in order to conduct a pullover maneuver in an autonomous driving mode.

Abstract: Platooning vehicles can result in operational cost savings. Disclosed is a method of apportioning costs that are incurred/saved as a result of platooning vehicles, as well as assigning penalties for unfair platoon participation. For example, platooning history of a vehicle can be tracked, and if that vehicle acts too often as a trailing vehicle in a series of platoons then a penalty might be assigned to that vehicle. Also disclosed is a technique for operating a platoon in the presence of external factors such as municipal regulations, merging traffic, emergency vehicles, etc.

Abstract: Systems, methods, computing platforms, and storage media for directing and controlling an autonomous inventory management system are disclosed. Exemplary implementations may place an inventory item in an autonomous storage unit, direct the autonomous storage unit to depart a starting location, direct the autonomous storage unit to board a first transport system departing for a first arrival location, determine whether an event will delay or expedite the arrival of the autonomous storage unit at the first arrival location, determine alternative routing options for the autonomous storage unit to continue travel to the first arrival location, recalculate the route of the autonomous storage unit to the first arrival location, and select a new route to the first arrival location.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: receiving request data from a first mobile UE device, the request data requesting installation of an instance of a client software installation package on the first mobile UE device; and responsively to the request data from the first mobile UE device, deploying a first instance of the client software installation package to the first mobile UE device for installation on the first mobile UE device, wherein the client software installation package is configured so that when the client software installation package is installed on a respective mobile client, the respective mobile client is operative for counting of crossings of the respective mobile client with one or more neighboring mobile client during performance of a trip.

Abstract: Provided is a travel evaluation method of making an evaluation related to travel of a vehicle capable of traveling in a leaning position, the method including: obtaining a tire force which is an external force exerted on a wheel of the vehicle from a ground surface; and deriving an evaluation index related to travel of the vehicle. The evaluation index includes a positive evaluation index as a rating of a positive evaluation related to travel of the vehicle. In deriving the evaluation index, the positive evaluation index is set higher as the tire force increases, and the evaluation index is corrected based on an influential parameter other than the tire force.

Abstract: A parking assistance apparatus for aiding a driver of a motor vehicle with a parking process, having an environment recording unit configured to record environment data of the motor vehicle at least during a parking process, having a storage unit configured to at least temporarily store the parking trajectory performed by the driver during the parking process and the recorded environment data, and having a processing unit configured to determine a trained parking trajectory, wherein in order to determine the trained parking trajectory, the processing unit is configured to check the driver-performed parking trajectory for a more efficient parking trajectory.

Abstract: A system providing a multi-persona social agent includes a computing platform having a hardware processor, a system memory storing a software code, and multiple neural network (NN) based predictive models accessible by the software code. The hardware processor executes the software code to receive input data corresponding to an interaction with a user, determine a generic expression for use in the interaction, and identify one of the character personas as a persona to be assumed by the multi-persona social agent. The software code also generates, using the generic expression and one of the NN based predictive models corresponding to the persona to be assumed by the multi-persona social agent, a sentiment driven personified response for the interaction with the user based on a vocabulary, phrases, and one or more syntax rules idiosyncratic to the persona to be assumed, and renders the sentiment driven personified response using the multi-persona social agent.

Abstract: A portable electronic device is disclosed comprising data processing means and a data repository containing: data records representative of locations relevant to or within a digital map; and data representative of an index associating words contained in the data records with the records in which those words appear. The device further comprises means for, in relation to a received search query including a search string, processing the search string to provide one or more search words; querying the index to identify data records containing the or each search word; and generating a rank for each of the one or more identified data records indicative of the relevance of each identified data record to the search query.

Abstract: An awakening degree detecting device outputs awakening degree information corresponding to an awakening degree of a driver of a vehicle. A stimulus providing device provides the driver with a stimulus including at least one of a vibration stimulus imparting vibration and an apparent motion stimulus giving an illusion of motion presence. A control device outputs, based on the awakening degree information, a first control signal causing the stimulus providing device to provide the stimulus in a case where the awakening degree is less than a first threshold, and to output a second control signal causing the stimulus providing device to provide the stimulus after the first control signal is outputted.

Abstract: A screen reader application traverses each node in a document object model (DOM) for the text stylization. Properties for foreground color, background color, font type, font size and font stylization are algorithmically reduced to an identifier. Each node in the DOM with the same identifier has the same text stylization. Unique and infrequent text stylizations by a webpage author signal a point of interest. The screen reader application locates and navigates to that node in the DOM on behalf or in response to the end user. Points of interest are further identified by a number of additional factors. A first includes percentage of text of having the text stylization versus total text in the DOM. A second includes excluding candidate point of interest nodes having more than 250 characters. Others include imposing minimum font sizes and text contrast ratios to qualify as a point of interest.

Abstract: To provide an information generation device and the like that, when generating transmission data of inter-mobile body communication having a limited data amount, generate information that can be effectively used by a mobile body on a reception side. An information generation device 1 mountable on a mobile body (5), the information generation device 1 estimating a control attribute concerning driving control for another mobile body existing in a communicable range from a position of the mobile body (5), the control attribute being a control attribute of mobile bodies relatively large in number, (S4) and generating information for transmission transmitted to the other mobile body, the information for transmission including mobile body information of an item prioritized according to the estimated control attribute among a plurality of items of mobile body information including information concerning the driving control for the mobile body (5) (S7).

Abstract: Disclosed herein are an apparatus and method for providing a customized traffic guidance service. The method may include acquiring data about one or more nearby objects, detecting surrounding traffic conditions based on the data about the nearby objects, determining whether to provide a customized traffic guidance service, selecting one or more target objects to which the customized traffic guidance service is to be provided and guidance information to be provided to each of the target objects, generating a customized traffic guidance message for the selected guidance information, and transmitting the customized traffic guidance message to the corresponding target object.

Abstract: Provided are methods, systems, devices, and tangible non-transitory computer readable media for offline mapping and navigation. The disclosed technology can determine a current region associated with a current location of a navigation device. Predicted travel destinations from the current region can be determined based on aggregated travel data. The aggregated travel data can include previous travel destinations from within the current region. Based on the current region and the predicted travel destinations, additional regions associated with the current region can be determined. Further, connectivity information can be determined based on network data. The connectivity information can be associated with network connectivity within the additional regions. The additional regions can be prioritized based on the connectivity information.

Abstract: A plurality of instances of probe data are received. Each instance of probe data corresponds to travel of a vehicle apparatus along a first segment, comprises an indication of at least one parameter characterizing the travel of the vehicle apparatus along the first segment. The at least one parameter is extracted from the instances of probe data to generate a distribution of parameters. One or more clusters of instances of probe data are identified based on the distribution of parameters. Responsive to identifying two or more clusters, a representative at least one parameter is determined for each cluster, and an element of a data structure is modified based thereon for each cluster. Responsive to identifying only one cluster of instances of probe data, the data structure is not modified based on the cluster. A navigation application is configured to use the data structure to perform a navigation function.

Abstract: Static obstruction detection and management systems and methods include, in an Air Traffic Control (ATC) system for any flying vehicles including any of passenger drones and Unmanned Aerial Vehicles (UAVs), receiving monitored data from a plurality flying vehicles related to static obstructions; receiving external data from one or more external sources related to the static obstructions; analyzing the monitored data and the external data to populate and manage an obstruction database of the static obstructions; and transmitting obstruction instructions to the plurality of flying vehicles based on analyzing the obstruction database with their flight plan.

Abstract: Vehicle speed data of a plurality of vehicles registered for each link of map information and respective average vehicle speeds calculated from the vehicle speed data are acquired, and the links are divided into vehicle speed groups according to the magnitude of the average vehicle speed. For each of the vehicle speed groups, the vehicle speed data of the plurality of vehicles is collectively subjected to frequency distribution analysis, and a predicted vehicle speed transition simulating a change in vehicle speed is calculated for each of the vehicle speed groups. An electricity consumption rate model of the vehicle is applied to the calculated predicted vehicle speed transition to predict an electricity consumption rate corresponding to the average vehicle speed for each of the vehicle speed groups.

Abstract: An autonomous cleaning robot includes a controller configured to execute instructions to perform one or more operations. The one or more operations includes operating a drive system to move the cleaning robot in a forward drive direction along a first obstacle surface with a side surface of the cleaning robot facing the first obstacle surface, then operating the drive system to turn the cleaning robot such that the side surface of the cleaning robot faces a second obstacle surface, then operating the drive system to move the cleaning robot in a rearward drive direction along the second obstacle surface, and then operating the drive system to move the cleaning robot in the forward drive direction along the second obstacle surface.

Abstract: A communication device includes one or more processors and one or more memories supporting communication, the device comprising a plurality of modes, including at least one focused mode. When the device is in the focused mode, one or more features of the device are at least partially disabled, and wherein the one or more features of the device that are at least partially disabled in the focused mode include one or more features relating to communication supported by the device. The device supports a user interface for setting the device into a focused mode. The interface may have a “focus” button. A focused mode is implemented, at least in part, by an operating system of the device. Setting the device in focus mode causes at least one other device associated with the user to be set to focus mode.

Abstract: A vehicle controller includes: a recognition unit that recognizes a surrounding state of a subject vehicle traveling in a road lane; an area specification unit that specifies a specific area in the lane in which the subject vehicle travels; and a driving control part that controls the subject vehicle with respect to a vehicle traveling ahead thereof, based on a result recognized b the recognition unit. The driving control part determines a condition of shifting from a first support status to a second support status such that there is a vehicle traveling ahead of the subject vehicle in the lane; and, if the subject vehicle enters the specific area at the first support status, the subject vehicle keeps the first support status, and if the subject vehicle enters the specific area at the second support status, shifts the support status from the second to the first support status.

Abstract: This disclosure describes a radar system configured to estimate a yaw-rate and an over-the-ground (OTG) velocity of extended targets in real-time based on raw radar detections. This disclosure further describes techniques for determining instantaneous values of lateral velocity, longitudinal velocity, and yaw rate of points of a rigid body in a radar field-of-view (FOV) of the radar system.

Abstract: A method and a system determine a change of state of an autonomous device, such as an autonomous vehicle. A plurality of performance parameter values obtained by monitoring at least one performance parameter during the autonomous operation of the device is received. A performance quantity quantifying the quality of autonomous operation of the device, in particular the quality of driving of the autonomous vehicle, is determined based on the obtained performance parameter values and information associated with a flux of software and/or hardware related to the autonomous operation of the device. Further, a change of state value for the device is determined based on the performance quantity.

Abstract: A computer-implemented information processing method includes: obtaining a plan including at least locations to which moving object is expected to travel and stay at; setting, on the basis of the locations included in the plan, a candidate charging location at which the battery of the moving object is chargeable; obtaining the reservation status of a charging station associated with the candidate charging location; and arranging reservation details according to the reservation status of the charging station.

Abstract: Itineraries may be recommended using rider context information relating to a rider. The rider context information may be obtained from various sources. Location information including an origin and a destination may obtained. A set of itineraries may be generated based on the rider context information. Each itinerary may include at least one mode of transportation to allow the rider to travel from the origin to the destination. Each itinerary in the set of itineraries may be ranked based on the rider context information.

Abstract: An automatic parking method includes: acquiring a panoramic image near a vehicle, and recognizing a parking space line in the panoramic image; determining whether a parking space exists near the vehicle according to a recognition result; in response to the recognition result indicating that no parking space exists near the vehicle, generating a virtual parking space; and controlling the vehicle to park automatically according to the virtual parking space.

Abstract: Provided is a method of sensing a three-dimensional (3D) space using at least one sensor. The method can include acquiring spatial information over time for the sensed 3D space, applying a neural network based object classification model to the acquired spatial information over time to identify at least one object in the sensed 3D space. The method can also include tracking the sensed 3D space including the identified at least one object, and using information related to the tracked 3D space.

Abstract: Systems, devices, media, and methods are presented for training a predictive model to detect objects in digital images, such as detecting whether a cotter key is present or absent in a digital photograph of a rail car coupler. The training system includes curating a plurality of training datasets, each including a number of raw images, together with a number of adjusted, augmented, and duplicate images. The predictive model includes a localization algorithm and an ensemble of models for classification. The localization algorithm is a deep convolutional neural network (CNN) which identifies a region of interest. One of more of the deep CNN classification models generates a plurality of candidate regions associated with each region of interest, thereby generating a large number of additional regions useful for training. In use, the trained predictive model is part of a detection and notification system that processes new images from the field and broadcasts a notice when an anomaly is detected.

Abstract: A method and system of magnetic fingerprint based neural network training for mobile device indoor navigation and positioning.

Abstract: A vehicle control apparatus mounted on a vehicle including a DC-DC converter that supplies electric power from a first battery to a second battery and an auxiliary load includes an electronic control unit configured to control an operation of the converter, determine a state of a starter switch of the vehicle, detect a user operation to the vehicle, and acquire charging status information of the second battery. The electronic control unit is configured to, when the electronic control unit detects a first operation by the user and determines that the starter switch is off, drive the converter such that the converter charges the second battery, and, when an electric power amount charged in the second battery reaches a target amount of charge set based on an amount of electric power to be consumed by the auxiliary load while the starter switch is off, stop the converter.

Abstract: A node is provided for capturing information about moving objects at an intersection. The node includes a plurality of first cameras that are positioned to capture first digital images of an intersection from different fields of view and a second camera positioned to capture second digital images in a field of view that is wider than that of each first camera. The node includes a processor that detects in the first and second digital images a set of objects of interest of the intersection, determines motion of each detected object of interest in the set from consecutive images of the first digital images or the second digital images. The node generates, for each object of interest of the set, augmented perception data that includes location data in the global coordinate system and the determined motion of each object of interest in the set.

Abstract: A method for a motor vehicle to select a preferred traffic lane to access a toll area having a plurality of traffic lanes includes the following: a) detecting traffic lanes of the toll area, b) determining, for at least some of the traffic lanes, a first item of data relating to the distance between the motor vehicle and the corresponding traffic lane, and a second item of data relating to the number of other vehicles situated on the corresponding traffic lane, c) minimizing a cost function that depends on each first item of data and on each second item of data, so as to identify the preferred traffic lane, and d) determining the possibility or the risk for the motor vehicle of changing traffic lane in order to move towards the preferred traffic lane.

Abstract: The disclosure relates to assessing impact of blockages on an autonomous vehicle transportation service. An example method may include identifying a plurality of starting and destination location pairs within a service area; running a first plurality of simulations by determining a first route for each of the plurality of pairs without including a first blockage in the service area; determining a first summary for each determined first route identifying a length of time to complete that determined route; running a second plurality of simulations by determining a second route for each of the plurality of pairs and including the first blockage in the service area; determining a second summary for each determined second route identifying a length of time to complete that determined route; and comparing the determined first summaries with the determined second summaries in order to assess an impact of the first blockage on the service.

Abstract: An information processing device includes a memory and a processor coupled to the memory. The processor acquires a first image at a first time and a second image at a second time later than the first time from a monocular camera mounted on a vehicle, calculates an amount of movement of the vehicle based on a sensor value acquired during a measurement period between the first time and the second time, outputs a result of distance measurement using a first distance measurement method to perform distance measurement using the first image or the second image or a second distance measurement method to perform distance measurement using the first image and the second image, depending on the amount of movement and outputs a result of calculation of a route to guide the vehicle to a parking space, based on the result of distance measurement.

Abstract: Examples described herein relate to apparatuses and methods for or simulating and improving performance of an artificial intelligence (AI) driver, including but not limited to determining safety quotients associated with an AI driver and an AI/human driver in simulations to provide data for reinforced machine learning to improve the AI driver.

Abstract: A vehicle control device includes a determination unit, a speed control unit, and a recommended speed acquisition unit. The recommended speed acquisition unit acquires a first recommended speed, being a new recommended speed related to a first section. The determination unit determines a magnitude relationship between the first recommended speed and the first recommended speed. The speed control unit controls the speed of the vehicle to be maintained at a speed of the first recommended speed in the first section when the determination unit determines that the first recommended speed is less than the first recommended speed.

Abstract: Embodiments of the present disclosure provide a method and a device for processing information and a storage medium. The method includes: obtaining intensities of electromagnetic radiation of locations which a mobile device passes during movement of the mobile device; creating a distribution map of electromagnetic radiation according to the intensities of electromagnetic radiation, the distribution map of electromagnetic radiation being configured to reflect an electromagnetic radiation distribution of a route which the mobile device passes; and generating a protective measure against the electromagnetic radiation according to the distribution map of electromagnetic radiation.

Abstract: Embodiments of the disclosure provide methods and systems for determining a position of a terminal device. The system may include a receiving module configured to receive current position information associated with the terminal device, the current position information including one or more positions indicative of the present location of the terminal device. The system may further include an acquisition module configured to acquire historical position information associated with the terminal device, said historical position information being separated from the current position information by a predetermined time interval. The system may further include a determination module configured to determine, based on the historical position information, an actual position of the terminal device from the current position information.

Abstract: An information processing apparatus according to the present disclosure includes a controller configured to execute: determining whether to change a scheduled riding vehicle for a first user or not based on predetermined position information related to a first user's riding a first vehicle, before a scheduled time on which the first user is to board the first vehicle which the first user is scheduled to board at a first boarding place; extracting one or more candidate vehicles serving as alternative candidates for the first vehicle, when it is determined to change the scheduled riding vehicle for the first user; and changing the scheduled riding vehicle for the first user from the first vehicle to a second vehicle that is one of the one or more candidate vehicles, based on an approval by the first user.

Abstract: Various systems and methods for providing a proximity measurement system are provided herein. A proximity measurement system includes: a user tracking service to calculate a travel area of a user, the travel area representing an area that the user has traveled within during a period of time, a proximity service to: identify a reminder task created by the user, the reminder task having an associated point of interest; identify a plurality of geographical locations of the point of interest; and calculate an effective proximity measure based on the travel area of the user and the plurality of geographical locations; and a notification service to transmit a notification to the user when the user is within the effective proximity measure of any one of the plurality of geographical locations.

Abstract: A robot cleaner for avoiding a stuck situation using artificial intelligence includes a sensing unit configured to detect the stuck situation of the robot cleaner, a driving unit to drive the robot cleaner, and a processor configured to determine a rotation angle of the robot cleaner when the stuck situation is detected through the sensing unit, control the driving unit such that the robot cleaner rotates by the determined rotation angle, and control the driving unit such that the robot cleaner reverses by a certain distance after rotating by the rotation angle.

Abstract: An application processing unit executes an application that is perforated as a notification device mounted in a vehicle. In the application processing unit, an input unit acquires information indicating that the vehicle is receiving driving assistance. In the application processing unit, an output unit outputs notifications to other vehicles in accordance with the information that has been acquired at the input unit.