Abstract: The present disclosure proposes a method, an apparatus, a device, and a medium for calibrating an intelligent roadside unit. The method includes: obtaining an intelligent driving vehicle within a preset range of the intelligent roadside unit; obtaining a first point cloud detected by a first radar in the intelligent driving vehicle, and obtaining location information of the intelligent driving vehicle; obtaining a second point cloud detected by a second radar in the intelligent roadside unit; and obtaining location information of the second radar based on the first point cloud, the second point cloud, and the location information of the intelligent driving vehicle.

Abstract: An atmospheric water harvesting material includes a deliquescent salt, a photothermal agent, and a polymeric hydrogel matrix containing the deliquescent salt and photothermal agent.

Abstract: A water evaporation system includes an evaporation module configured to evaporate water from a brine; a support module attached to the evaporation module and configured to support the evaporation module above the brine; and an inlet configured to add a crystal growth inhibitor to the brine.

Abstract: A solar-powered system including a chamber that is bordered by an evaporation layer and a condensation layer; and a photothermal layer located over the evaporation layer so that sun rays incident on the photothermal layer are transformed into heat and the heat is supplied to the evaporation layer for evaporating water. The sun rays incident on the photothermal layer do not pass through the condensation layer prior to arriving at the photothermal layer.

Abstract: The present disclosure discloses a second-degree friend query method. The method includes storing a first-degree friend of each account, querying for the first-degree friend after receiving a second-degree friend query command, and query the first-degree friend to obtain a second-degree friend. A storage module stores the first-degree friend relationships. The second-degree friend is obtained through a query according to the first-degree friend in real time. The present disclosure further discloses a second-degree friend query apparatus and system corresponding to the foregoing method and a storage medium. The system includes a processing server and a storage server. The storage server stores a first-degree friend for each account, and queries for and returns the first-degree friend at the request of the processing server. The processing server controls an entire query procedure, and obtains a second-degree friend after twice queries.

Abstract: A multi-channel direct-deposit assembly method is disclosed to high-throughput synthesize three-dimensional macroporous/mesoporous (3DMM) material array with precisely controlled composition, pore size, and pore structure. The macropore size of the synthesized 3DMM material is in the range of 50-1000 nm; the mesopore size of the synthesized 3DMM material is in the range of 1-50 nm. The surface area of the 3DMM material is in the range of 20-1000 m2/g. The 3DMM material array can be used for rapid synthesis, screening and manufacture of catalysts and nanosensors.

Abstract: A solar-powered system includes a support portion; and an evaporation portion having a pumping layer and a photothermal layer. The support portion pumps a fluid to the evaporation portion, the pumping layer evaporates the fluid based on solar power; and the photothermal layer is insulated from the pumping layer.

Abstract: The present disclosure proposes a method and an apparatus for upgrading a map of a self-driving vehicle. The method includes: obtaining a target position and a current position of the self-driving vehicle; obtaining a navigation path of the self-driving vehicle according to the target position and the current position; obtaining information of a map required by the navigation path, the information comprising a serial number of the map required and a version number of the map required; determining whether the map required is stored locally in the self-driving vehicle according to the serial number of the map required; determining whether a version number of the stored map is consistent with the version number of the map required if yes; and downloading a corresponding map from a server if not.

Abstract: The present disclosure provides a roadside sensing system based on vehicle infrastructure cooperation and a method for controlling a vehicle thereof. The system includes a target vehicle and an intelligent roadside device provided on a road segment divided by a preset distance. The intelligent roadside device comprises a roadside sensing module, a roadside processing module, and a roadside communication module. The roadside sensing module comprises a sensor configured to acquire surrounding environment information of the target vehicle. The roadside processing module is configured to perform fusion processing on the surrounding environment information acquired to form road environment information. The roadside communication module is configured to send the road environment information to the target vehicle.

Abstract: The present disclosure provides an intelligent roadside unit. The intelligent roadside unit includes: a radar configured to detect an obstacle within a first preset range of the intelligent roadside unit; a camera configured to capture an image of a second preset range of the intelligent roadside unit; a master processor coupled to the radar and the camera, and configured to generate a point cloud image according to information on the obstacle detected by the radar and the image detected by the camera; and a slave processor coupled to the radar and the camera, and configured to generate a point cloud image according to the information on the obstacle detected by the radar and the image detected by the camera, in which the slave processor checks the master processor, and when the original master processor breaks down, it is switched from the master processor to the slave processor.

Abstract: Provided is a smart roadside unit, including a light intensity sensor configured to generate current light intensity information; a high-bright camera assembly configured to capture a high-bright image; a low-bright camera assembly configured to capture a low-bright image; and a controller configured to turn on the high-bright camera assembly to shoot when the current light intensity is greater than a first light intensity threshold, turn on the low-bright camera assembly to shoot when the current light intensity is less than a second light intensity threshold, and extract vehicle information from the high-bright image or the low-bright image, in which the second light intensity threshold is smaller than the first light intensity threshold.

Abstract: The present disclosure describes an intelligent roadside unit and a control method thereof, comprising: a circular camera array, including a plurality of cameras for capturing images in different road directions respectively; a circular radar array, including a plurality of radars for detecting obstacle information in different road directions respectively; and a controller configured to determine whether a vehicle is approaching according to the obstacle information detected by the radars, to turn on a camera corresponding to the radar that has detected the approaching of the vehicle to capture an image, and to control the cameras corresponding to the radars that have not detected the approaching of the vehicle to be in a standby state.

Abstract: Provided are a communication system and a communication method of an autonomous vehicle. The system includes: a plurality of application modules, and an in-vehicle terminal. The in-vehicle terminal includes: an external communication module configured to communicate with another autonomous vehicle or a server in a message mode, and an internal communication module configured to communicate with the plurality of application modules in a service mode.

Abstract: The present disclosure provides a data transmission method and a data transmission device for an intelligent driving vehicle, and a device. The method includes: acquiring data to be transmitted; encoding the data to be transmitted to generate encoded data; generating a check digit according to the data to be transmitted; adding the encoded data to a data packet, wherein a trailer of the data packet comprises the check digit; and transmitting the data packet.

Abstract: The present disclosure provides a high-precision map generation method, device, and computer device. The method includes: obtaining a local high-precision map in an autonomous vehicle and a destination of the autonomous vehicle, determining whether there is a high-precision map corresponding to a front road section according to the destination and the local high-precision map, and when there is no high-precision map corresponding to the front road section, prompting the driver to switch to a manual driving mode, and after the autonomous vehicle enters the front road section, collecting map information by a radar and a camera of the autonomous vehicle, and generating the high-precision map according to the map information.

Abstract: Provided are a method for indicating at least one obstacle by a smart roadside unit, a system and a non-temporary computer-readable storage medium. The method includes: detecting the at least one obstacle via a radar to generate an obstacle set; acquiring status information reported by an autonomous vehicle; filtering the obstacle set according to the status information reported by the autonomous vehicle, to remove the autonomous vehicle object from the obstacle set; and sending a filtered obstacle set to the autonomous vehicle.

Abstract: The present disclosure proposes a method, an apparatus, a device, and a medium for calibrating an intelligent roadside unit. The method includes: obtaining an intelligent driving vehicle within a preset range of the intelligent roadside unit; obtaining a first point cloud detected by a first radar in the intelligent driving vehicle, and obtaining location information of the intelligent driving vehicle; obtaining a second point cloud detected by a second radar in the intelligent roadside unit; and obtaining location information of the second radar based on the first point cloud, the second point cloud, and the location information of the intelligent driving vehicle.

Abstract: A method of detecting acetone in a gas sample, comprising, at an operation temperature of 50° C. or less, exposing the gas sample to a gas sensor comprising an electrode and a sensing material deposited on the electrode, wherein the sensing material comprises tungsten bronze, and a level of the acetone in the gas sample is detected by a change in resistivity of the sensing material.

Abstract: A multi-channel direct-deposit assembly method is disclosed to high-throughput synthesize three-dimensional macroporous/mesoporous (3DMM) material array with precisely controlled composition, pore size, and pore structure. The macropore size of the synthesized 3DMM material is in the range of 50-1000 nm; the mesopore size of the synthesized 3DMM material is in the range of 1-50 nm. The surface area of the 3DMM material is in the range of 20-1000 m2/g. The 3DMM material array can be used for rapid synthesis, screening and manufacture of catalysts and nanosensors.

Abstract: Provided are a vehicle positioning method, an apparatus and a device. The method includes: sending an auxiliary positioning request to an auxiliary positioning device within a preset distance range; receiving an auxiliary positioning message returned by the auxiliary positioning device with respect to the auxiliary positioning request, where the auxiliary positioning message carries location information of the auxiliary positioning device; and determining a current location of a current vehicle according to the location information of the auxiliary positioning device and distance information between the current vehicle and the auxiliary positioning device. The method of the present disclosure can implement vehicle positioning without a satellite positioning signal. The vehicle positioning can be performed when the vehicle is blocked by an obstacle such as a tunnel, a building and the satellite positioning signal cannot be received, improving the accuracy of the vehicle positioning.