Abstract: Techniques for performing multi-sensor calibration on a vehicle are described. A method includes obtaining, from each of at least two sensors located on a vehicle, sensor data item of a road comprising a lane marker, extracting, from each sensor data item, a location information of the lane marker, and calculating extrinsic parameters of the at least two sensors based on determining a difference between the location information of the lane marker from each sensor data item and a previously stored location information of the lane marker.

Abstract: The present application discloses a pose estimation method and device, related equipment and a storage medium. In the pose estimation method, a visual observation model constraint is constructed according to images, a motion model constraint is constructed according to inertial data, and a pose of a camera, an inertial measurement unit or an object that corresponds to the time of each image is calculated according to the visual observation model constraint and the motion model constraint. The pose estimation method adopts a fusion model of the visual observation model constraint and the motion model constraint to improve the accuracy, stability and robustness of pose estimation in a complex scene.

Abstract: A positioning method and device based on multi-sensor fusion are provided and relates to object positioning field. The method includes obtaining sensor data collected by various sensors on a movable object in real time; temporally and spatially synchronizing sensor data collected by the sensors to form various temporally and spatially synchronized sensor data; performing data preprocessing and correlation on the temporally and spatially synchronized sensor data to form to-be-jointly-optimized sensor data; obtaining state information at each time point before a current time point in a preset sliding window; and determining a current pose state of the movable object by performing a joint optimization according to the to-be-jointly-optimized sensor data and the state information at each time point before the current time point in the sliding window. The movable object can be accurately positioned in scenarios where GPS signals are lost, jumping exists, or LiDAR observation is degraded seriously.

Abstract: A rechargeable, self-heating aluminum-chalcogen battery is provided, with an aluminum or aluminum alloy negative electrode, a positive electrode of elemental chalcogen, and a mixture of chloride salts providing a molten salt electrolyte. The predominant chloride salt in the electrolyte is AlCh. Additional chloride salts are chosen from alkali metal chlorides. The cell operates at a modestly elevated temperatures, ranging from 90° C. to 250° C.

Abstract: A network device having an embedded router (eRouter) providing connections for a plurality of client devices in a local area network, and an embedded cable modem (eCM) bridging communication between a wide area network (WAN) network and the eRouter. The network device also includes a memory, and at least one processor configured to execute instructions stored on said memory to cause said network device to implement an eRouter physical interface and an eCM physical interface according to a configuration file, and to transmit a generic routing encapsulation (GRE) domain name system (DNS) query to a DNS server from the eRouter physical interface or the eCM physical interface.

Abstract: Techniques for performing multi-sensor calibration on a vehicle are described. A method includes obtaining, from each of at least two sensors located on a vehicle, sensor data item of a road comprising a lane marker, extracting, from each sensor data item, a location information of the lane marker, and calculating extrinsic parameters of the at least two sensors based on determining a difference between the location information of the lane marker from each sensor data item and a previously stored location information of the lane marker.

Abstract: Techniques for performing multi-sensor calibration on a vehicle are described. A method includes obtaining, from each of at least two sensors located on a vehicle, sensor data item of a road comprising a lane marker, extracting, from each sensor data item, a location information of the lane marker, and calculating extrinsic parameters of the at least two sensors based on determining a difference between the location information of the lane marker from each sensor data item and a previously stored location information of the lane marker.

Abstract: Provided are a method and an apparatus of training a radiation image recognition model online and a method and an apparatus of recognizing a radiation image. Preset data is pre-stored in a radiation inspection system, and the preset data includes a first radiation image. The method of training radiation image recognition model online includes: collecting a second radiation image at the radiation inspection site; labeling the second radiation image online to form on-site collected data having a second labeling information, wherein the second labeling information is an incomplete labeling information of the second radiation image, and the second labeling information is used to indicate at least one of objects of interest in the second radiation image; synthesizing the preset data and the on-site collected data online to form a training data set; and training the radiation image recognition model online using the training data set.

Abstract: Embodiments of the present invention disclose a map construction method, apparatus, and storage medium. The method includes the following steps: acquiring sensor data collected by a preset sensor; establishing a pose constraint relationship of a movable object and a semantic constraint relationship of a semantic object according to the sensor data; performing a joint optimization solution according to the pose constraint relationship and the semantic constraint relationship to determine a semantic result of the semantic object and a pose result of the movable object; and constructing a semantic map and a point cloud map according to the semantic result and the pose result. By adopting the above technical solution, the semantic map and the point cloud map can be obtained quickly and accurately, thereby obtaining a more accurate high-definition map.

Abstract: The present application discloses a pose estimation method and device, related equipment and a storage medium. In the pose estimation method, a visual observation model constraint is constructed according to images, a motion model constraint is constructed according to inertial data, and a pose of a camera, an inertial measurement unit or an object that corresponds to the time of each image is calculated according to the visual observation model constraint and the motion model constraint. The pose estimation method adopts a fusion model of the visual observation model constraint and the motion model constraint to improve the accuracy, stability and robustness of pose estimation in a complex scene.

Abstract: A network device having an embedded router (eRouter) providing connections for a plurality of client devices in a local area network, and an embedded cable modem (eCM) bridging communication between a wide area network (WAN) network and the eRouter. The network device also includes a memory, and at least one processor configured to execute instructions stored on said memory to cause said network device to implement an eRouter physical interface and an eCM physical interface according to a configuration file, and to transmit a generic routing encapsulation (GRE) domain name system (DNS) query to a DNS server from the eRouter physical interface or the eCM physical interface.

Abstract: A flap slat control lever and a method for operating the lever are disclosed. The lever includes: a first displacement sensor to detect a displacement of the flap slat control lever and generate a first displacement detection signal; a second displacement sensor to detect the displacement of the flap slat control lever and generate a second displacement detection signal; a first control command module to receive the first displacement detection signal; and a second control command module to receive the second displacement detection signal, wherein the first control command module is in a standby state and the second control command module is in a working state.

Abstract: A network device having an embedded router (eRouter) providing connections for a plurality of client devices in a local area network, and an embedded cable modem (eCM) bridging communication between a wide area network (WAN) network and the eRouter. The network device also includes a memory, and at least one processor configured to execute instructions stored on said memory to cause said network device to implement an eRouter physical interface and an eCM physical interface according to a configuration file, and to transmit a generic routing encapsulation (GRE) domain name system (DNS) query to a DNS server from the eRouter physical interface or the eCM physical interface.

Abstract: A rechargeable, self-heating aluminum-chalcogen battery is provided, with an aluminum or aluminum alloy negative electrode, a positive electrode of elemental chalcogen, and a mixture of chloride salts providing a molten salt electrolyte. The predominant chloride salt in the electrolyte is AlCl3. Additional chloride salts are chosen from alkali metal chlorides. The cell operates at a modestly elevated temperatures, ranging from 90° C. to 250° C.

Abstract: Action processing associated with a cloud device is disclosed, including: in response to a trigger comprising receiving a forwarding instruction from a control device or receiving an event message from a first smart device, sending an action message to a second smart device, wherein the action message comprises at least an action identifier, wherein the action identifier corresponds to a control instruction to be executed at the second smart device; and receiving an action response message from the second smart device, wherein the action response message comprises the action identifier and an action status identifier, wherein the action status identifier is associated with an execution status of the control instruction at the second smart device.

Abstract: A network device having an embedded router (eRouter) providing connections for a plurality of client devices in a local area network, and an embedded cable modem (eCM) bridging communication between a wide area network (WAN) network and the eRouter. The network device also includes a memory, and at least one processor configured to execute instructions stored on said memory to cause said network device to implement an eRouter physical interface and an eCM physical interface according to a configuration file, and to transmit a generic routing encapsulation (GRE) domain name system (DNS) query to a DNS server from the eRouter physical interface or the eCM physical interface.

Abstract: A positioning method and device based on multi-sensor fusion are provided and relates to object positioning field. The method includes obtaining sensor data collected by various sensors on a movable object in real time; temporally and spatially synchronizing sensor data collected by the sensors to form various temporally and spatially synchronized sensor data; performing data preprocessing and correlation on the temporally and spatially synchronized sensor data to form to-be-jointly-optimized sensor data; obtaining state information at each time point before a current time point in a preset sliding window; and determining a current pose state of the movable object by performing a joint optimization according to the to-be-jointly-optimized sensor data and the state information at each time point before the current time point in the sliding window. The movable object can be accurately positioned in scenarios where GPS signals are lost, jumping exists, or LiDAR observation is degraded seriously.

Abstract: Techniques for performing multi-sensor calibration on a vehicle are described. A method includes obtaining, from each of at least two sensors located on a vehicle, sensor data item of a road comprising a lane marker, extracting, from each sensor data item, a location information of the lane marker, and calculating extrinsic parameters of the at least two sensors based on determining a difference between the location information of the lane marker from each sensor data item and a previously stored location information of the lane marker.

Abstract: A flap slat control lever and a method for operating the lever are disclosed. The lever includes: a first displacement sensor to detect a displacement of the flap slat control lever and generate a first displacement detection signal; a second displacement sensor to detect the displacement of the flap slat control lever and generate a second displacement detection signal; a first control command module to receive the first displacement detection signal; and a second control command module to receive the second displacement detection signal, wherein the first control command module is in a standby state and the second control command module is in a working state.

Abstract: A method for recommending pick-up locations is provided. The method may include one or more of the following operations. A start location may be obtained from a requester terminal. One or more candidate pick-up locations may be determined based on the start location and historical data. The historical data may include one or more historical start locations within a threshold distance from the start location. Location information of the one or more candidate pick-up locations may be obtained. One or more recommended pick-up locations may be selected among the one or more candidate pick-up locations based on the location information of the one or more candidate pick-up locations. The one or more recommended pick-up locations may be transmitted to the requester terminal.