Abstract: Provided is a processing method for a multi-row, multi-column flat lens with an equivalent negative refractive index, which includes: performing photoresist coating, masking and exposure on the photolithography surface; removing photoresist in an unexposed block, and forming a rectangular groove; coating a surface of an exposed block and all surfaces of the rectangular groove with a protective layer, and then coating a side surface of the rectangular groove with a reflective film; removing the protective layer on the surface of the exposed block and the bottom surface of the rectangular groove, then filling up the groove with a filling material, and further processing the front and rear surfaces of the parallel plate in such a manner that a parallel misalignment between the front and rear surfaces thereof is smaller than 1?; and adding a protective window sheet on each of the front and rear surfaces of the new parallel plate.

Abstract: In one embodiment, a system is designed to determine the requirement of a perception range for a particular type of vehicles and a particular planning and control technology. A shadow filter is used to connect a scenario based simulator and a PnC module, and tuning the parameters (e.g. decreasing the filter range, tuning the probability of obstacles to be observed among frames) of shadow filter to mimic the real world perceptions with a limited range and reliabilities. Based on the simulation results (e.g., a failure rate, smoothness, etc.), the system is able to determine the required perception distance for the current PnC module. A PnC module represents a particular autonomous driving planning and control technology for a particular type of autonomous driving vehicles. Notice that the PnC module is replaceable so that this method is suitable for different PnC algorithms representing different autonomous driving technologies.

Abstract: User equipment, a base station, a base station access method, and a radio link monitoring method are provided, where the user equipment includes: a first receiving module, configured to receive first indication information sent by a first base station, where the first indication information includes a time period required by the user equipment to initially request to access a second base station; a first sending module, configured to send the random access scrambling code to the second base station; and a first notification module, configured to: if the user equipment fails to access the second base station within the time period, notify the first base station that a secondary cell group failure occurs. In this application, efficiency of accessing the second base station by the user equipment is improved by limiting a time in which the user equipment requests to access the second base station.

Abstract: In one embodiment, a method, apparatus, and system may predict behavior of environmental objects using machine learning at an autonomous driving vehicle (ADV). A data processing architecture comprising at least a first neural network and a second neural network is generated, the first and the second neural networks having been trained with a training data set. Behavior of one or more objects in the ADV's environment is predicted using the data processing architecture comprising the trained neural networks. Driving signals are generated based at least in part on the predicted behavior of the one or more objects in the ADV's environment to control operations of the ADV.

Abstract: A device and a method for performing automatic adjustment and optimization display for a visible area of a screen is provided. The method includes determining position information of a viewer and the screen according to a face recognition algorithm, and determining an optimal visible area for the viewer according to a human eye view range algorithm, and adjusting a visible area of the screen according to the optimal visible area to obtain a size and layout of the visible area most suitable for viewing by the viewer.

Abstract: According to some embodiments, a system performs an emergency stop when a speed planning optimization fails to generate a speed curve. In one embodiment, in response to an emergency stop request, the system generates one or more path-time analytical curves, where each of the one or more path-time curves is represented by a polynomial function. The system selects one of the path-time analytical curves to determine whether the selected path-time analytical curve satisfies a set of evaluation criteria. If the selected path-time analytical curve does not satisfy the set of evaluation criteria, the system selects a next one of the path-time analytical curves for evaluation. If the selected path-time analytical curve satisfies the set of evaluation criteria, the system generates a trajectory based on the selected path-time analytical curve to control the ADV during an emergency stop.

Abstract: A sensor aggregation framework for autonomous driving vehicles is disclosed. In one embodiment, sensor data is collected from one or more sensors mounted on an autonomous driving vehicle (ADV) while the ADV is moving within a region of interest (ROI) that includes a number of obstacles. The sensor data includes obstacle information of the obstacles and vehicle data of the ADV. Each of the vehicle data is timestamped with a current time at which the vehicle data is captured to generate a number of timestamps that correspond to the vehicle data. The obstacle information, the vehicle data, and the corresponding timestamps are aggregated into training data. The training data is used to train a set of parameters that is subsequently utilized to predict at least in part future obstacle behaviors and vehicle movement of the ADV.

Abstract: In one embodiment, a system receives vehicle information from one or more ADVs. The system determines a location and a heading of each ADV from the vehicle information of the ADV. For each of the ADVs, the system determines if the ADV is approaching a traffic light junction based on the location and the heading of the ADV. The system sends the vehicle information of the ADVs to a traffic light control system in response to determining the ADV is approaching the traffic light junction, where the vehicle information is used by the traffic light control system to direct a traffic flow at the traffic light junction, including adjusting a time duration of a light signal at one or more traffic lights disposed at the traffic light junction in advance of the ADVs arriving at the traffic light junction.

Abstract: In one embodiment, a system of an ADV perceives a driving environment surrounding the ADV using a plurality of sensors mounted on the ADV. The system identifies a blind spot based on the perceived driving environment surrounding the ADV. The system in response to identifying the blind spot, receives an image having the blind spot from an image capturing device disposed within a predetermined proximity of the blind spot. In some embodiments, the system receives the image having the blind spot from a remote server communicatively coupled to the image capturing device. The system identifies an obstacle of interest at the blind spot of the ADV based on the image. The system generates a trajectory based on the obstacle of interest at the blind spot to control the ADV to avoid the obstacle of interest.

Abstract: One example method includes receiving, by a first node, a first message from a second node, wherein the first message is used to page a third node, instruct the third node to access a network, instruct the first node to provide a relay serving for the third node, instruct to set the third node to a low configuration mode, instruct to set the third node to a high configuration mode, or instruct to update system information. The first node can send a second message to a third node, where the second message is used to instruct the third node to access a network, instruct the third node to perform communication with a second node by using the first node, instruct to set the third node to a low configuration mode, instruct to set the third node to a high configuration mode, or instruct the third node to update system information.

Abstract: In one embodiment, a real time map can be generated by an autonomous driving vehicle (ADV) based on a navigation guideline for a lane and associated lane boundaries for the lane on a particular segment of a road. When travelling in the lane on the road segment, the ADV can use the navigation guideline as a reference line and use the lane boundaries as boundaries. The navigation guideline can be derived from manual driving path data collected by a manned vehicle that has travelled multiple times on the particular segment of the road.

Abstract: In one embodiment, one or more first data items associated with a planned trip of a user riding in an autonomous driving vehicle (ADV) are displayed on a display device within the ADV. Each of the first data items is associated with a user selectable option to indicate whether the user wishes or allows the ADV to store each of the first data items in a persistent storage device. User inputs are received via a user interface such as touch screen of the display device, including a first selection indicating that the user wishes to store a first subset of the first data items. In response to the first selection, the first subset of the data items is stored in the persistent storage device of the ADV.

Abstract: According to one embodiment, an ADV is controlled according to a first trajectory planned during a first planning cycle. A control error is determined which represents a drifting error at a first location of the ADV at a first point in time at the end of the first planning cycle. A second point in time is selected on the first trajectory. A second trajectory is generated from a second location on the first trajectory corresponding o the second point in time as a starting location of the second trajectory for a second planning cycle as a next planning cycle. A segment of the first trajectory between the first point in time and the second point in time is combined with the second trajectory to generate a third trajectory for the second planning cycle. The ADV is driven and controlled according to the third trajectory corresponding to the second planning cycle.

Abstract: A process of transmitting a configuration message is efficiently completed. The solution includes receiving a first message from a first node, where the first message includes a configuration of a second node and/or a dual connectivity configuration, and sending a first reply message to the first node if the configuration in the first message is accepted, so that the first node learns that a user terminal accepts the configuration, or sending a second reply message to the first node if the configuration in the first message is not accepted, so that the first node learns that the user terminal does not accept the configuration; or skipping sending any message to the first node if the configuration in the first message is not accepted.

Abstract: Provided is a processing method for a single-column and multi-row equivalent negative refractive flat lens, including: processing an optical material into parallel plates including upper and lower surfaces each being a polished surface; cutting the parallel plates into strip-shaped optical waveguides; plating each polished surface with an aluminum film; attaching and gluing the surfaces together to form a single-column and multi-row strip-shaped optical waveguide array; curing the strip-shaped optical waveguide array through heating treatment; cutting the plate of the strip-shaped optical waveguide array into two sets of plates of strip-shaped optical waveguide array arranged in a direction of 45 degrees; and gluing the two sets of plates in such a manner that arrangement directions of the two sets of plates are perpendicular to each other, and then adding protective window sheets on both sides of the glued plates.

Abstract: Embodiments of the present application provide a communication method, including: the first node sends the second message to the third node, where the second message is used to instruct the third node to perform a corresponding operation. This resolves a problem of relatively high power consumption generated when the third node needs to periodically listen to a message sent by the second node when the third node performs D2D communication in a D2D communication process, and achieves an objective and an effect of effectively saving power when the third node receives information sent by the second node during D2D communication.

Abstract: In one embodiment, a system sends current location information of the ADV to an alert service over a network, where the alert service is communicatively coupled to a number of ADVs. The system receives a broadcasted alert signal from the alert service, where the alert service has determined that the ADV is or will be located in an alert area, and the location of the alert area is determined based on a location of a dispatched vehicle having a higher priority of traveling. In response to receiving the broadcast alert signal, the system examines a current state and the current location of the ADV in view of the alert area to determine whether the ADV should overtake or yield the alert area based on a set of rules. The system generates a trajectory to control the ADV to navigate the alert area based on the examination.

Abstract: By using a method for coordination between base stations, one base station allocates a resource to user equipment in a better manner with reference to resource configuration information saved in the base station and resource configuration information of another base station. The method provided in the embodiments of the present invention includes: acquiring, by a first base station, resource configuration information of a first cell, where the first cell is a cell served by the first base station; receiving resource configuration information of a second cell sent by a second base station, where the second cell is a cell served by the second base station; and allocating a resource to user equipment according to the resource configuration information of the first cell and the resource configuration information of the second cell, so that the user equipment communicates with the first cell and the second cell.

Abstract: In response to receiving a user inquiry describing one more symptoms of a medical condition, an online hospital visit prediction system can determine whether the user will visit the hospital for treatment related to the medical condition the day following the user inquiry, termed “hospital day.” Query logs are stored for a large plurality of users. Using the query logs, a prediction model can be trained using predetermined features extracted from the query logs of each of a plurality of users for a predetermined period of time prior to the day the user visited the hospital. The predetermined features can be used to train the prediction model with a high accuracy to determine whether a future user will visit the hospital the day following a query about a medical condition.

Abstract: A new cost design is disclosed for evaluating candidate path curves for navigating an autonomous driving vehicle (ADV) through a segment of a route which may include an obstacle. Each point on each candidate path curve has a plurality of attributes having logical values and an associated priority of evaluation, and at least one numeric attribute having an associated priority of evaluation. A cost for each path curve is determined using the attributes and priorities, and a least cost path curve is selected using the attributes and priorities. By comparing attribute values in accordance with priority, and utilizing logical values, the efficiency of determining path curve cost and selecting a least cost path curve is substantially improved.