Abstract: In one embodiment, a steering control delay is measured, where the steering delay represents the delay between the time of issuing a steering control command and the time of a response from one or more wheels of an autonomous vehicle. A speed control delay is measured between the time of issuing a speed control command and the time of a response from one or more wheels of the autonomous vehicle or the time of supplying pressure to the gas pedal or brake pedal. In response to a given route subsequently, an overall system delay is determined based on the steering control delay and the speed control delay using a predetermined algorithm. Planning and control data is generated in view of the system delay for operating the autonomous vehicle.

Abstract: A set of driving scenarios are determined for different types of vehicles. Each driving scenario corresponds to a specific movement of a particular type of autonomous vehicles. For each of the driving scenarios of each type of autonomous vehicles, a set of driving statistics is obtained, including driving parameters used to control and drive the vehicle, a driving condition at the point in time, and a sideslip caused by the driving parameters and the driving condition under the driving scenario. A driving scenario/sideslip mapping table or database is constructed. The scenario/sideslip mapping table includes a number of mapping entries. Each mapping entry maps a particular driving scenario to a sideslip that is calculated based on the driving statistics. The scenario/sideslip mapping table is utilized subsequently to predict the sideslip under the similar driving environment, such that the driving planning and control can be compensated.

Abstract: In one embodiment, a driving scenario is determined for a next route segment or route for an autonomous vehicle. In response, a lookup operation is performed in a scenario/delay mapping table to locate a mapping entry that matches the determined driving scenario. The scenario/delay mapping table includes a number of mapping entries. Each mapping entry maps a particular driving scenario to a system delay that has been calculated for that particular driving scenario. Thereafter, the autonomous vehicle is controlled and driven in view of the system delay corresponding to the driving scenario at the point in time, including issuing control commands according to timing compensating the system delay under the circumstances.

Abstract: Provided are a networking method and a networking device. The method is applied to the networking device, and the networking device is connected with at least one service switch and at least one streaming media server respectively. The method includes that a configuration module in the networking device configures networking configuration information of the at least one streaming media server, a control module in the networking device acquires the networking configuration information, and the control module sets a switching module through a setting interface of the switching module on the basis of the networking configuration information. According to the disclosure, the technical problem of complexity in a networking mode in the existing technology can be solved, and unified network management and configuration can be realized.

Abstract: Described is a data integration technique and system for providing data in response to a request. The data integration system may overcome the limits of a fixed scheduling system by implementing a service dependency graph (SDG). In particular, the data integration system may represent the SDG as a directed acyclic graph (DAG). Accordingly, the system may leverage the nature of DAGs in order to derive an efficient topological ordering for calling one or more services. Thus, the data integration system may retrieve and compile data in an efficient and scalable manner.

Abstract: According to one embodiment, a content item is received that was searched and identified based on a first set of one or more keywords determined based on a search query received from a client device over a network. A search is performed in an image store to identify a plurality of images based on the first set of keywords and a second set of one or more keywords associated with the content item. The images are ranked based on a user context obtained at a time when the search query was received. A composite content item is generated by incorporating an image selected from the ranked images with the content item, where the selected image is ranked above a predetermined threshold. The composite content item is transmitted to the client device over the network.

Abstract: According to one embodiment, a content item is received that was identified in response to a search query received from a client. It is determined whether the search query is within a predetermined percentage of total search queries that yield the content item. In response to determining that the search query is within the predetermined percentage of the total search queries, a search is performed in an image store based on one or more keywords associated with the search query to identify a list of one or more images and one of the identified images is selected to be matched with the content item. Otherwise, a predetermined preferred image is selected to be matched with the content item. The content item is incorporated with the selected image to generate a composite content item to be transmitted to the client.

Abstract: According to one embodiment, in response to a content description describing a content item, an analysis is performed on the content description. An image having image content is identified that is related to the content description based on the analysis. One or more phrases are derived from the content description based on the analysis, the one or more phrases summarizing the content description. A list of content styles is determined based on a relationship between the image and the one or more phrases. A composite content item having the image and the one or more phrases therein is generated based on a selected content style selected from the list of content styles. The image and the one or more phrases are arranged according to a layout corresponding to the selected content style.

Abstract: In response to a search query received from a client, a content item is identified from a content database based on one or more keywords associated with the search query. In addition, a search is performed in an image store to identify a list of image candidates based on one or more keywords associated with the search query. An image is selected from the list of image candidates using an image selection algorithm. Metadata associated with the content provider is inscribed onto the selected image to generate a customized image. The customized image is integrated with the content item to generate a composite content item such as a poster. As a result, the content represented by the composite content item is closely tied to the content provider. The composite content item is then transmitted to the client.

Abstract: In one embodiment, motion planning and control data is received, indicating that an autonomous vehicle is to move from a first point to a second point of a path. The motion planning and control data describes a plurality of routes from the first point to the second point within the path. For each of the routes, a simulation of the route is performed in view of physical characteristics of the autonomous vehicle to generate a simulated route. A controlling error is calculated, the controlling error representing a discrepancy between the route and the simulated route. One of the routes is selected based on controlling errors between the routes and associated simulated routes. The autonomous vehicle is operated to move from the first point to the second point according to the selected route.

Abstract: In one embodiment, a number of steering rate candidates are determined for a steering control command of operating an autonomous vehicle. For each of the steering rate candidates, a number of individual costs are calculated for the steering rate candidate by applying a plurality of cost functions, each cost function corresponding to one of a plurality of cost categories. A total cost for the steering rate candidate is determined based on the individual costs produced by the cost functions. One of the steering rate candidates having a lowest total cost is selected as a target steering rate. A steering control command is generated based on the selected steering rate candidate to control a steering wheel of the autonomous vehicle.

Abstract: In one embodiment, an autonomous vehicle is operated in an autonomous mode, where during the autonomous mode, the autonomous vehicle operates without influence of a human driver ridding the autonomous vehicle. An electrical current is detected flowing through a first electrode and a second electrode mounted on a steering wheel of the autonomous vehicle. In response to the detecting the electrical current flowing through the first and second electrodes, the autonomous vehicle is transitioned from the autonomous mode to a manual mode. Thereafter, the autonomous vehicle is operated in the manual mode in response to user actions from the human driver.

Abstract: In one embodiment, motion planning and control data is received, where the motion planning and control data indicates that an autonomous vehicle is to move from a first point to a second point of a path within a predetermined route. In response to the motion planning and control data, the path from the first point to the second point is segmented into multiple path segments. For each of the path segments, one of predetermined driving scenes is identified that matches motion characteristics of the corresponding path segment. The motion planning and control data associated with the path segments is modified based on predetermined motion settings of the path segments. The autonomous vehicle is driven through the path segments of the path based on the modified motion planning and control data.

Abstract: According to one embodiment, in response to a search query received from a client, a search is performed in a content database to identify a list of one or more content items based on one or more keywords of the search query. A first search is performed in an image store to identify a first set of one or more images using a first image searching method. A second search is performed in the image store to identify a second set of one or more images using a second image searching method that is different than the first image searching method. A search result is transmitted to the client, the search result having at least a portion of the content items to the client. Each content item is associated with one of the images selected from the first set of images or the second set of images.

Abstract: According to one embodiment, content keyword elements (CKEs) are determined based on content keywords (CKs) associated with content items. Query keyword elements (QKEs) are determined based on query keywords (QKs) associated with search queries. A first search query having one or more query keywords represented by a first QKE. A first content keyword represented by a first CKE that matches the first QKE is identified. A new entry in a query-to-CK (query/CK) whitelist table to map the first search query to the first content keyword. The query/CK whitelist table includes a number of entries, each entry mapping a search query to one or more content keywords. The query/CK whitelist table is utilized to identify content items in response to a subsequent search query.

Abstract: According to one embodiment, images are identified to be matched with a content item that is identified in response to a search query. For each of the images, a matching type score is calculated based on a first set of one or more keywords associated with the search query and a second set of one or more keywords associated with the image. A matching quality score is calculated for the image based on the matching type score, the first set of keywords, and the second set of keywords. The images are ranked based on their respective matching quality scores. One of the images with a matching quality score higher than a predetermined threshold is selected, where the selected image is to be associated with the content item.

Abstract: According to one embodiment, a request is received for evaluating matching between a content item and an image that were identified and selected from a plurality of content items and images in response to a search query. First metadata associated with the content item, second metadata associated with the image, and third metadata associated with the search query are obtained. A first similarity score is determined based on the first metadata associated with the content item and the third metadata associated with the search query. A second similarity score is determined based on the second metadata associated with the image and the third metadata associated with the search query. An evaluation score is calculated for matching of the content item and the image in view of the search query. The evaluation score is utilized to identify subsequent content items and images in response to a subsequent search query.

Abstract: According to one embodiment, a first set of one or more images are identified as a list of image candidates to be matched with a content item that is identified in response to a search query, where the content item is provided by a first content provider. A first lookup operation is performed in an image whitelist table to identify a second set of one or more images that are associated with a second content provider other than the first content provider. Any image candidate that is included in the second set of the images is removed from the list of image candidates. One of the candidate images is then selected to be associated with the content item.

Abstract: According to one embodiment, a first keyword-to-image (keyword/image) mapping table is provided. The first keyword mapping table includes a number of entries, each entry mapping a keyword to one or more image identifiers (IDs) identifying one or more images. For each of the keywords of the first keyword/image mapping table, an analysis is performed on the keyword to determine one or more related keywords that are related to the keyword. One or more additional entries corresponding to the one or more related keywords are generated to be incorporated into the first keyword/image mapping table to generate a second keyword/image mapping table. The second keyword/image mapping table is utilized to associated a particular image to a particular content item related to a particular keyword.

Abstract: According to one embodiment, in response to a search query received from a client device for searching content, one or more first keywords are determined from the search query. A lookup operation is performed in an image-to-keyword (image/keyword) mapping table based on the first keywords. The image/keyword mapping table includes a plurality of entries, each entry mapping an image identifier (ID) identifying an image to one or more second keywords. For each of images identified in the image/keyword mapping table, a matching degree is determined between the first keywords and the second keywords. A ranking process is performed based on matching degrees on a plurality of images identified in the image/keyword mapping table whose second keywords match at least a portion of the first keywords.