Abstract: A data transmission method, apparatus, and device, and a computer storage medium are provided. The method includes: obtaining an application packet of a target application; transmitting the application packet to a first routing device by using a network data channel, and transmitting, by using the first routing device, the application packet to a proxy server; meanwhile, transmitting the same application packet to a second routing device by using a short-range wireless data channel different from the network data channel, and transmitting, by using the second routing device, the application packet to the proxy server. The proxy server performs, a deduplication mechanism on the application packet and transmit the application packet to an application server corresponding to the target application.

Abstract: A method for detecting and labeling a target object in a 2D image includes receiving a plurality of 2D images from a visual sensor, manually marking points of the target object on each of the 2D images, generating from the 2D images a 3D world coordinate system of the environment surrounding the target object, mapping each of the marked points on the 2D images to the 3D world coordinate system using a simultaneous localization and mapping (SLAM) engine, automatically generating a 3D bounding box covering all the marked points mapped to the 3D world coordinate system, mapping the 3D bounding box to each of the 2D images, generating a label for the target object on each of the 2D images using a machine learning object detection model, and training the machine learning object detection model based on the generated label for the target object.

Abstract: A chair chassis includes: a base, provided with an accommodation chamber; a backrest support; a memory stopper, disposed on the backrest support, wherein the memory stopper is provided with a first arc surface facing the base; a locking slider, slidably disposed in the accommodation chamber of the base, wherein the locking slider is provided with a second arc surface disposed opposite to the first arc surface, and a side of the locking slider is provided with a first rack; a first elastic member; and an elastic slider, slidably disposed in the accommodation chamber of the base, wherein one end of the elastic slider is provided with a second rack, wherein the second rack is meshable with the first rack. Accordingly, the chair chassis according to the embodiments of the present disclosure achieves reclination memory adjustment of a backrest of the chair.

Abstract: A system, method, and computer program product provides a way to separate connected or adhered adjacent characters of a digital image for license plate recognition. As a threshold processing, the method performs a recognition of character adhesion by obtaining character parameters using an image processor. The parameters include a horizontal max crossing and a ratio of width and height. A first rule-based module is used responsive to the character parameters to distinguish the adhered characters (character adhesions) that are easy to judge, leaving the uncertain part to a character adhesion classifier model for discrimination. Character adhesion data is obtained by data augmentation including the adding of a random distance between two single characters to create class like adhered characters. Then the character adhesion classifier model of single character and character adhesion data is trained. Any uncertain part can be distinguished by the trained character adhesion classifier model.

Abstract: An electrically controlled chassis includes: a chassis body; an electrical control box, internally provided with an accommodation space; a drive motor, configured to control lift adjustment of the chassis of the chair and pitch adjustment of a backrest of the chair; a winding mechanism, connected to an output shaft of the drive motor; a first pull cord, reversely wound on the winding mechanism; a second pull cord, normally wound on the winding mechanism; a backrest adjustment mechanism, disposed on the chassis body, and fixedly connected to the other end of the first pull cord; and a chassis lift mechanism, disposed on the chassis body, and fixedly connected to the other end of the second pull cord.

Abstract: An adaptive manipulation apparatus and method are provided. The adaptive manipulation method includes steps of providing a mobile manipulation apparatus comprising a manipulator, a sensor and a processor for a manipulation of an object placed on a carrier having a plurality of markers spaced apart from each other, the sensor detecting the plurality of markers to obtain a run time marker information, the processor, according to the base-case motion plan, generating a run time motion plan, wherein the run time motion plan comprises a plurality of second pose-aware actions, and the plurality of second pose-aware actions are modified from the plurality of first pose-aware actions according to the run time marker information, and the processor further executing the run time motion plan for controlling the manipulator to manipulate the object.

Abstract: A system, method, and computer program product provides a way to separate connected or adhered adjacent characters of a digital image for license plate recognition. As a threshold processing, the method performs a recognition of character adhesion by obtaining character parameters using an image processor. The parameters include a horizontal max crossing and a ratio of width and height. A first rule-based module is used responsive to the character parameters to distinguish the adhered characters (character adhesions) that are easy to judge, leaving the uncertain part to a character adhesion classifier model for discrimination. Character adhesion data is obtained by data augmentation including the adding of a random distance between two single characters to create class like adhered characters. Then the character adhesion classifier model of single character and character adhesion data is trained. Any uncertain part can be distinguished by the trained character adhesion classifier model.

Abstract: A chair chassis includes: a base, provided with an accommodation chamber; a backrest support; a memory stopper, disposed on the backrest support, wherein the memory stopper is provided with a first arc surface facing the base; a locking slider, slidably disposed in the accommodation chamber of the base, wherein the locking slider is provided with a second arc surface disposed opposite to the first arc surface, and a side of the locking slider is provided with a first rack; a first elastic member; and an elastic slider, slidably disposed in the accommodation chamber of the base, wherein one end of the elastic slider is provided with a second rack, wherein the second rack is meshable with the first rack. Accordingly, the chair chassis according to the embodiments of the present disclosure achieves reclination memory adjustment of a backrest of the chair.

Abstract: An electrically controlled chassis includes: a chassis body; an electrical control box, internally provided with an accommodation space; a drive motor, configured to control lift adjustment of the chassis of the chair and pitch adjustment of a backrest of the chair; a winding mechanism, connected to an output shaft of the drive motor; a first pull cord, reversely wound on the winding mechanism; a second pull cord, normally wound on the winding mechanism; a backrest adjustment mechanism, disposed on the chassis body, and fixedly connected to the other end of the first pull cord; and a chassis lift mechanism, disposed on the chassis body, and fixedly connected to the other end of the second pull cord.

Abstract: A method for detecting and labeling a target object in a 2D image includes receiving a plurality of 2D images from a visual sensor, manually marking points of the target object on each of the 2D images, generating from the 2D images a 3D world coordinate system of the environment surrounding the target object, mapping each of the marked points on the 2D images to the 3D world coordinate system using a simultaneous localization and mapping (SLAM) engine, automatically generating a 3D bounding box covering all the marked points mapped to the 3D world coordinate system, mapping the 3D bounding box to each of the 2D images, generating a label for the target object on each of the 2D images using a machine learning object detection model, and training the machine learning object detection model based on the generated label for the target object.

Abstract: A method, system, and computer program product for obtaining a first route traversed by a target object, performing at least one prediction for a second route to be traversed by the target object based on the first route, the at least one prediction being performed with at least one of an object-specific prediction model, an object group-specific prediction model, and an object-independent prediction model, and determining, according to a decision rule, a prediction result of the second route based on the at least one prediction.

Abstract: A method and an apparatus for generating a road network are disclosed. The method for generating a road network comprises: aggregating a plurality of grid cells partitioned in advance on a trajectory map based on trajectories in each grid cell of the plurality of grid cells to form level-1 regions; and generating a link of the road network by merging a level-1 region having two valid neighbors with its neighbor level-1 regions having two valid neighbors.

Abstract: One or more sensors associated with a vehicle detect a roadway condition of a first roadway and an evasive maneuver is performed by the vehicle to avoid the detected roadway condition. In response to one or more processors determining that the evasive maneuver was successful, a record of the successful maneuver and the roadway condition are stored in a database. Subsequent to storing the record in the database, one or more computers associated with one or more vehicles is trained to execute the evasive maneuver, in response to determining that the one or more vehicles is exposed to the roadway condition experienced by the vehicle.

Abstract: A rapid activation method of an electrically controlled common ail engine. The method includes: arranging, between an oil outlet of a fuel transfer pump and an oil inlet of a fuel injection pump in the electrically controlled common rail engine, a gas discharging device; and communicating an outlet of the gas discharging device with a fuel tank via a pipe to discharge a gas present in fuel during a normal system operation. By arranging the gas discharging device at an oil feeding port of a fine filter, the method can be utilized to discharge, via the gas discharging device to the outside, air in the fine filter, thereby implementing active gas discharging, and effectively increasing activation performance of the engine.

Abstract: A method and an apparatus for generating a road network are disclosed. The method for generating a road network comprises: aggregating a plurality of grid cells partitioned in advance on a trajectory map based on trajectories in each grid cell of the plurality of grid cells to form level-1 regions; and generating a link of the road network by merging a level-1 region having two valid neighbors with its neighbor level-1 regions having two valid neighbors.

Abstract: A care-free activation system of an electrically controlled common rail engine. The care-free activation system includes a fuel tank, a fuel transfer pump and a fine filter. A gas discharging device discharging fuel gas is arranged between the fuel transfer pump and the fine filter. An outlet of the gas discharging device communicates with the fuel tank via an oil pipe. In the care-free activation system of the electrically controlled common rail engine, by arranging the gas discharging device at an oil feeding port of a fine filter, air in the fine filter can be discharged via the gas discharging device, thereby implementing active gas discharging, and effectively increasing activation performance of the engine.

Abstract: An apparatus or a method for detecting activity quantity of an object includes a sense unit, a count unit, a trigger unit, and a radio circuit. The sense unit senses movements of the object, and generates a sensing signal based on the sensed movements. The count unit receives the sensing signal from the sense unit, counts a number of the movements from the sensing signal, and generates a movement number signal including the number of the movements. The trigger unit generates a trigger signal based on whether one or more trigger conditions are satisfied. The radio circuit is triggered in response to the trigger signal, to generate an activity quantity signal based on the movement number signal and ID information corresponding to the object.

Abstract: A method and an apparatus for generating a road network are disclosed. The method for generating a road network comprises: aggregating a plurality of grid cells partitioned in advance on a trajectory map based on trajectories in each grid cell of the plurality of grid cells to form level-1 regions; and generating a link of the road network by merging a level-1 region having two valid neighbors with its neighbor level-1 regions having two valid neighbors.