Abstract: Systems and methods involving obtaining point cloud data from one or more sources corresponding to one or more zones within a real-world space, the point cloud data representing surface features of structures detected within the one or more zones; defining a plurality of first-level nodes based on the point cloud data, individual first-level nodes corresponding to obtained point cloud data corresponding to individual zones of the one or more zones; identifying connections between two or more first-level nodes, the connections between the two or more first-level nodes based on connections between the point cloud data for the zones corresponding to the two or more first-level nodes; and defining a plurality of second-level nodes, individual second-level nodes corresponding to aggregated subsets of first-level nodes for which connections are identified.

Abstract: Methods, systems, and apparatus for recommending alternative destinations in ride-sharing services are provided. A computing device implementing the method may start with receiving a trip request from a user device. The trip request may include an origin and a destination. Then the computing device classifies the trip request into one of a plurality of trip purpose categories based at least on the origin and the destination of the trip request, the rider's information, and a machine-learning classifier trained to predict the one trip purpose category of the trip request. In response to the one trip purpose category belonging to a preset group of trip purpose categories, the computing device determines one or more alternative destinations for the trip request, and sends to the user device, the one or more alternative destinations.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for evaluating and improving live translation captioning systems. An exemplary method includes: displaying a word in a first language; receiving a first audio sequence, the first audio sequence comprising a verbal description of the word; generating a first translated text in a second language; displaying the first translated text; receiving a second audio sequence, the second audio sequence comprising a guessed word based on the first translated text; generating a second translated text in the first language; determining a matching score between the word and the second translated text; determining a performance score of the live translation captioning system based on the matching score.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for testing a plurality of variants among a plurality of users. One of the methods includes: determining a spatial granularity to divide an area into a plurality of grid cells; randomly splitting the plurality of grid cells into a plurality of testing groups, wherein a quantity of the plurality of testing groups is determined based on a quantity of the multiple versions of the feature to be tested; determining a temporal granularity to divide a testing period into a plurality of testing intervals; during each of the plurality of testing intervals, respectively assigning the multiple versions of the feature to the plurality of testing groups; and obtaining a treatment effect for each of the multiple versions of the feature and determining an optimal version of the feature.

Abstract: The present disclosure relates to systems and methods for displaying vehicle information for an on-demand service. The method may include sending a request for on-demand service to a server. The method may further include obtaining information of a vehicle related to the request for on-demand service. The information of the vehicle may include color information of the vehicle. The method may further include generating, by a processor, a user interface based on the information of the vehicle. The user interface may include at least one user interface element corresponding to the color information of the vehicle.

Abstract: The present disclosure relates to a system, method and non-transitory computer readable medium. The system includes at least one computer-readable storage medium including a set of instructions and at least one processor in communication with the at least one computer-readable storage medium. When executing the set of instructions, the at least one processor is directed to: receive a triggering event in the absence of input from a user terminal associated with a user; obtain one or more candidate destinations based on the triggering event; obtain a trained ranking model; determine a ranking result of the one or more candidate destinations based on the trained ranking model; and transmit the ranking result to the user terminal in response to the triggering event.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for carpool dual-pricing in ridesharing are provided. An exemplary method comprises: determining an expected trip count based on a plurality of carpool requests in a pricing unit and a pair of price adjustment multipliers applied to the pricing unit; for each of the plurality of carpool requests, generating a carpool matching probability of the carpool request by a second machine learning model based on the first expected trip count; constructing one or more Key Performance Indicator (KPI) models based on the plurality of carpool matching probabilities and the pair of price adjustment multipliers; and determining optimal values of the pair of price adjustment multipliers based on an optimization model maximizing an aggregated value of the one or more KPI models.

Abstract: Embodiments of the disclosure provide a system and method for determining a trajectory of a subject. The method can include acquiring motion data of the subject to which the mobile device is attached; determining a motion status of the subject based on the motion data; and determining the trajectory based on the motion data using a trajectory model corresponding to the motion status.

Abstract: The present application discloses systems and methods for performing location-based actions. The methods may include obtaining, by an electronic device, location information associated with the electronic device with respect to a reference location. The methods may further include determining, by the electronic device, whether the location information changes from a first status to a second status. The methods may further include performing, by the electronic device, a predetermined action upon determining that the location information changes from the first status to the second status. The location information may relate to a speed, a direction, an acceleration, a geographic location of the electronic device, and/or a distance between the electronic device and the reference location.

Abstract: Embodiments of the disclosure provide methods and systems for positioning a vehicle. The system may include a communication interface configured to receive a set of point cloud data with respect to a scene captured under a first lighting condition by at least one sensor. The system may further include a storage configured to store the set of point cloud data, and a processor. The processor may be configured to simulate illumination of the scene under a second lighting condition different from the first lighting condition based on the set of point cloud data, modify the set of point cloud data based on the simulated illumination of the scene under the second lighting condition, and position the vehicle under the second lighting condition based on the modified set of point cloud data.

Abstract: The present disclosure relates to systems and methods for determining traffic information of a region. The method may include determining a first region and a second region. The method may also include obtaining a set of links associated with the first region and the second region. The method may also include obtaining a plurality of driving routes of a plurality of vehicles in the first region and the second region in a predetermined time period. The method may also include selecting one or more driving routes that traverse a first boundary of the first region and a second boundary of the second region based on the set of links associated with the first region and the second region. The method may also include determining traffic information of the first region based on information related to the one or more selected driving routes.

Abstract: In some cases, lower quality, large scale training data can be automatically generated by automatic labeling. The generated training data can be used to pre-train a machine learning model. For instance, the model can be a model for detection of verbal harassment. Parameters of the pre-trained model can be refined or updated using another one or more higher-quality sets of training data, with which the model can be subsequently trained.

Abstract: In some cases, a verbal harassment detection system may use machine learning models to detect verbal harassment in real-time or near real-time. The system may receive an audio segment comprising a portion of audio captured by a microphone located within a vehicle. Further, the system may convert the audio segment to a text segment. The system may provide at least the text segment to a prediction model associated with verbal harassment detection to obtain a harassment prediction. Further, the system may provide the audio segment to an emotion detector to obtain a detected emotion of a speaking user that made an utterance included in the audio segment. Based at least in part on the harassment prediction and the detected emotion, the system may automatically, and without user intervention, determine whether a user is being harassed.

Abstract: An exemplary method includes: obtaining, at one or more cloud servers, endpoint data of an endpoint computing device; based on the endpoint data, determining, by the one or more cloud servers, a plurality of script-language rules, wherein: each of the plurality of script-language rules corresponds to an atomic operation of detecting and/or removing at least one rootkit, the at least one rootkit comprises a target rootkit, and the plurality of script-language rules comprise a set of one or more rootkit rules corresponding to the target rootkit; and transmitting, by the one or more cloud servers to the endpoint computing device, the plurality of script-language rules, wherein the set of rootkit rules is executable at the endpoint computing device to detect and/or remove the target rootkit by, for each of the set of rootkit rules, executing a corresponding atomic operation.

Abstract: Embodiments of the disclosure provide a method for configuring indication information for transportation services. The method includes receiving a first transportation request which includes a first passenger pick-up point located in a preset geographical area, and the first transportation request matches a first vehicle. The method also includes receiving a second transportation request which includes a second passenger pick-up point located in the preset geographical area, and the second transportation request matches a second vehicle. The method further includes generating first indication information for the first transportation request and second indication information for the second transportation request based on a time difference between a first estimated time for the first vehicle to arrive in the preset geographical area and a second estimated time for the second vehicle to arrive in the preset geographical area.

Abstract: A method for recommending a route includes obtaining a first start point and a first end point relating to a road network. The method also includes obtaining a route recommendation model. The method further includes determining a recommendation route from the first start point to the first end point based on the route recommendation model.

Abstract: The embodiments of the present disclosure provide a method, an apparatus, a storage medium, and an electronic device for information exchange. After receiving task information of a task, a task processing terminal may send its own position. A task issuing terminal may control a display device to render and display a position modification control corresponding to the task. In response to the position modification control is triggered, the task issuing terminal may display a modification page to detect a input operation. In response to that the input operation is detected, the task issuing terminal may determine corresponding position information and send position modification information determined based on the position information to a server.

Abstract: The present disclosure relates to systems and methods for determining a pickup location. The systems may perform the methods to receive a request or an intention for a first transportation service that is allowed to combine with a second transportation service from a terminal association with a service requester, the request or the intention including an origin location of the first transportation service and a destination of the first transportation service; obtain a plurality of candidate locations; for each of the plurality of candidate locations, determine a matching index value of the candidate location based on the origin location or the destination, wherein the matching index value is a probability of becoming a pickup location of the first transportation service; select one or more pickup locations from the plurality of candidate locations based on the matching index value; and transmit the one or more pickup locations to the terminal.

Abstract: The present disclosure relates to systems and methods for displaying vehicle information for an on-demand service. The method may include sending a request for on-demand service to a server. The method may further include obtaining information of a vehicle related to the request for on-demand service. The information of the vehicle may include color information of the vehicle. The method may further include generating, by a processor, a user interface based on the information of the vehicle. The user interface may include at least one user interface element corresponding to the color information of the vehicle.

Abstract: A method may include acquiring a first operation on a terminal device. The first operation may be used to instruct the terminal device to execute a first application. The method may also include adding a first floating window on a display interface of the terminal device when the first application is executed. The first floating window may include a first state and a second state. The first floating window may be hidden on the display interface in the first state, and displayed on the display interface in the second state. The method may further include adding a second floating window associated with the first application after adding the first floating window. When a relative positional relationship of the first floating window and the second floating window satisfies a first preset condition, the first state of the first floating window may be switched to the second state.