Abstract: High-speed connectors and connector assemblies that include structures for alignment and/or improved thermal performance.

Abstract: In one embodiment, instead of using map data, a relative coordinate system is utilized to assist perception of the driving environment surrounding an ADV for some driving situations. One of such driving situations is driving on a highway. Typically, a highway has fewer intersections and exits. The relative coordinate system is utilized based on the relative lane configuration and relative obstacle information to control the ADV to simply follow the lane and avoid potential collision with any obstacles discovered within the road, without having to use map data. Once the relative lane configuration and obstacle information have been determined, regular path and speed planning and optimization can be performed to generate a trajectory to drive the ADV. Such a perception system is referred to as a relative perception system based on a relative coordinate system.

Abstract: Disclosed is a method for establishing an active distribution network planning model considering location and capacity determination of an electric vehicle charging station. In terms of location and capacity determination of electric vehicle charging stations, a traffic flow of electric vehicles is converted into a charging demand flowing in a traffic network, and an electric vehicle traffic network model is established based on an M/M/s queuing model and a flow capturing location model in the traffic field. A distributed generation (including wind power and photovoltaic) and load model is established, based on a time series method. An energy storage element model in a power distribution network is established based on an idea of equivalent load. A nested planning model is established by taking economy and reliability of a power distribution network and a maximum traffic flow intercepted by the electric vehicle charging stations as objectives.

Abstract: A connector assembly includes an insulative housing, first and second conductive ground wafers (see e.g., 661 and 663) and a plurality of grounding links. The insulative housing has a plurality of conductive signal terminals disposed therein (see e.g., 662). The insulative housing has opposite side surfaces and a plurality of openings therein extending between the side surfaces. The second ground wafer is spaced from and parallel to the first ground wafer. The grounding links are electrically connected to one of the ground wafers and extend towards another of the ground wafers and extend through the openings in the housing.

Abstract: One example method includes receiving, by the one or more processors and from a user device, a request for a service, the request including a user identification of a user of the user device; determining, by the one or more processors, a consumption quantity of the service, the consumption quantity indicating a value associated with providing the service; determining, by the one or more processors, a pre-created general resource account associated with the user identification and including a total value that indicates an aggregated value of one or more sets of prepaid resources that belong to the user; and deducting, by the one or more processors, one or more prepaid resources from the total value of the general resource account, the one or more prepaid resources adding up to the value of the consumption quantity of the service, and in response, providing the service to the user device.

Abstract: In one embodiment, in response to a route from a source location to a target location, the route is analyzed to identify a list of one or more driving scenarios along the route that match one or more predetermined driving scenarios. The route is segmented into a list of route segments based on the driving scenarios. At least one of the route segments corresponds to one of the identified driving scenarios. A path is generated based on the route segments for driving an autonomous driving vehicle from the source location to the target location. The path includes a number of path segments corresponding to the route segments. At least one of the path segments of the path is determined based on a preconfigured path segment of a predetermined driving scenario associated with the path segment, without having to calculating the same at real time.

Abstract: One example method includes receiving, by the one or more processors and from a user device, a request for a service, the request including a user identification of a user of the user device; determining, by the one or more processors, a consumption quantity of the service, the consumption quantity indicating a value associated with providing the service; determining, by the one or more processors, a pre-created general resource account associated with the user identification and including a total value that indicates an aggregated value of one or more sets of prepaid resources that belong to the user; and deducting, by the one or more processors, one or more prepaid resources from the total value of the general resource account, the one or more prepaid resources adding up to the value of the consumption quantity of the service, and in response, providing the service to the user device.

Abstract: According to some embodiments, a system calculates a first trajectory based on a map and a route information. The system generates a path profile based on the first trajectory, traffic rules, and an obstacle information describing one or more obstacles perceived by the ADV. The system generates a speed profile based on the path profile, where the speed profile includes, for each of the obstacles, a decision to yield or overtake the obstacle. The system performs a quadratic programming optimization on the path profile and the speed profile to identify an optimal path with optimal speeds. The system generates a second trajectory based on the optimal path and optimal speeds to control the ADV autonomously according to the second trajectory.

Abstract: According to various embodiments, systems and methods described in the disclosure combine mapped features with point cloud features to improve object detection precision of an autonomous driving vehicle (ADV). The map features and the point cloud features can be extracted from a perception area of the ADV within a particular angle view at each driving cycle based on a position of the ADV. The map features and the point cloud features can be concatenated and provided to a neutral network for object detections.

Abstract: One example method includes receiving, by the one or more processors and from a user device, a request for a service, the request including a user identification of a user of the user device; determining, by the one or more processors, a consumption quantity of the service, the consumption quantity indicating a value associated with providing the service; determining, by the one or more processors, a pre-created general resource account associated with the user identification and including a total value that indicates an aggregated value of one or more sets of prepaid resources that belong to the user; and deducting, by the one or more processors, one or more prepaid resources from the total value of the general resource account, the one or more prepaid resources adding up to the value of the consumption quantity of the service, and in response, providing the service to the user device.

Abstract: Driving parameters (e.g., speed, heading direction) that an autonomous driving vehicle (ADV) likely utilize as target driving parameters are grouped into a number of ranges and one of the driving parameters in each range is selected as a driving parameter representative or a target driving parameter representing the respective range or segment. For each of the target driving parameters representing the ranges, a particle swarm optimization method is utilized to derive a set of most optimized coefficients for a controller (e.g., speed controller, steering controller) for controlling an ADV. A driving parameter to coefficient (parameter/coefficient) mapping table is generated to map a particular driving parameter representing a range of driving parameter to a set of one or more coefficients of a particular controller. The parameter/coefficient mapping table is utilized at real-time to configure a controller in response to a particular target driving parameter using the corresponding coefficients.

Abstract: In one embodiment, a computer system generates a first vehicular path based on map information. The system collects data points representing geographical coordinates of vehicles that drove on a vehicular path lane at different points in time. The system segments the first vehicular path into path segments based on the collected data points. For each of the path segments, the system applies a smoothing function to select a subset of the data points that are within a predetermined proximity of the corresponding path segment and calculates a segment reference point to represent the path segment by combining the selected data points. The segment reference points of the path segments of the first vehicular path are interpolated to generate a second vehicular path such that the second vehicular path is used as a reference line to control ADVs driving on the first vehicular path.

Abstract: When generating a control command of an autonomous driving vehicle (ADV), a pitch status and/or a roll status of the road is determined. The control command is adjusted based on the pitch status and the roll status. For example, when an ADV is driving on an uphill or downhill road, a pitch status of the road is determined and a speed control command will be generated based on the pitch status of the road, such that the ADV have a similar acceleration rate as of driving on a flat road. Similarly, when the ADV is driving on a road that is tilted or rolled left or right, a roll status of the road is determined and a steering control command will be generated in view of the roll status of the road, such that the ADV have a similar heading direction as of driving on a flat road.

Abstract: A connector assembly is provided, which includes a cage that defines a port and a card slot positioned in the port. Also included is a wafer set aligned with the card slot, the wafer set including a plurality of wafers that each support at least four terminals. The terminals are arranged so that two rows of contacts are provided, one row on a first side and one row on a second side of the card slot. Each wafer of the plurality of wafers includes an insulative frame, each terminal includes a beam portion cantilevered from the insulative frame supporting that terminal, and the cantilevered beam portion of at least one terminal of the at least four terminals has a molded material thereon.

Abstract: In one embodiment, autonomous driving control for an autonomous vehicle is provided by determining a first state of the autonomous vehicle from among a number of states and determining whether one or more conditions have been satisfied, based on current information and historical information of the autonomous vehicle. A next state of the autonomous vehicle and a transition of the autonomous vehicle from the first state to the next state are determined, based on the one or more conditions that are determined to have been satisfied. Based on the transition of the autonomous vehicle, one of a plurality of motion plans is selected.

Abstract: One example method includes receiving, by the one or more processors and from a user device, a request for a service, the request including a user identification of a user of the user device; determining, by the one or more processors, a consumption quantity of the service, the consumption quantity indicating a value associated with providing the service; determining, by the one or more processors, a pre-created general resource account associated with the user identification and including a total value that indicates an aggregated value of one or more sets of prepaid resources that belong to the user; and deducting, by the one or more processors, one or more prepaid resources from the total value of the general resource account, the one or more prepaid resources adding up to the value of the consumption quantity of the service, and in response, providing the service to the user device.

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: In one embodiment, in response to a route from a source location to a target location, the route is analyzed to identify a list of one or more driving scenarios along the route that match one or more predetermined driving scenarios. The route is segmented into a list of route segments based on the driving scenarios. At least one of the route segments corresponds to one of the identified driving scenarios. A path is generated based on the route segments for driving an autonomous driving vehicle from the source location to the target location. The path includes a number of path segments corresponding to the route segments. At least one of the path segments of the path is determined based on a preconfigured path segment of a predetermined driving scenario associated with the path segment, without having to calculating the same at real time.

Abstract: According to some embodiments, a system calculates a first trajectory based on a map and a route information. The system generates a path profile based on the first trajectory, traffic rules, and an obstacle information describing one or more obstacles perceived by the ADV. The system generates a speed profile based on the path profile, where the speed profile includes, for each of the obstacles, a decision to yield or overtake the obstacle. The system performs a quadratic programming optimization on the path profile and the speed profile to identify an optimal path with optimal speeds. The system generates a second trajectory based on the optimal path and optimal speeds to control the ADV autonomously according to the second trajectory.

Abstract: A connector assembly is provided, which includes a cage that defines a port and a card slot positioned in the port. Also included is a wafer set aligned with the card slot, the wafer set including a plurality of wafers that each support at least four terminals. The terminals are arranged so that two rows of contacts are provided, one row on a first side and one row on a second side of the card slot. Each wafer of the plurality of wafers includes an insulative frame, each terminal includes a beam portion cantilevered from the insulative frame supporting that terminal, and the cantilevered beam portion of at least one terminal of the at least four terminals has a molded material thereon.