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公开(公告)号:US20180076825A1
公开(公告)日:2018-03-15
申请号:US15410642
申请日:2017-01-19
Inventor: Wei HE , Liming XIA , Yu MA , Kaiwen FENG , Yibing LIANG , Zhuo CHEN
IPC: H03M7/30
Abstract: The present application discloses a data transmission method and apparatus. A specific implementation of the method includes: receiving to-be-transmitted data sent from an information sending end, and determining a sending coding type of the to-be-transmitted data; determining a receiving coding type of an information receiving end receiving the to-be-transmitted data; converting the to-be-transmitted data from the sending coding type to the receiving coding type using a preset transcoding model, to obtain transcoded transmission data, the transcoding model representing a corresponding relationship between the sending coding type and the receiving coding type; and sending the transcoded transmission data to the information receiving end. This implementation improves the data transmission efficiency.
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公开(公告)号:US20180081039A1
公开(公告)日:2018-03-22
申请号:US15410906
申请日:2017-01-20
Inventor: Wei HE , Kaiwen FENG , Chengliang DENG , Yibing LIANG , Bocong LIU , Zhuo CHEN , Yu MA
CPC classification number: G01S7/4861 , G01S7/4808 , G01S17/87 , G01S17/936
Abstract: The present application discloses a data acquiring method and apparatus applied to a driverless vehicle. A specific implementation of the method includes: selecting, from at least one laser radar of the driverless vehicle, a laser radar having a highest importance level as a first laser radar; acquiring a start time of a current time window and executing following data processing steps: executing a real-time acquisition and storage operation on point cloud data packets collected by the each of the at least one laser radar after the start time of the current time window; and determining whether any condition in a group of conditions is satisfied; and setting the start time of the current time window to be the current time and continuing to execute the data processing steps, in response to determining that any of the group of conditions is satisfied. This implementation implements the alignment and storage of point cloud data packets collected by at least one laser radar of the driverless vehicle.
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公开(公告)号:US20180321994A1
公开(公告)日:2018-11-08
申请号:US16039144
申请日:2018-07-18
Inventor: Yu MA , Weide ZHANG , Wei HE , Haifeng WANG , Yibing LIANG , Zhuo CHEN
CPC classification number: G06F9/546 , G06F11/3024 , G06F11/3055 , G06F2209/508 , Y10S901/50
Abstract: This disclosure discloses a method and apparatus for monitoring a message transmission frequency in a robot operating system. A specific implementation of the method includes: writing to-be-transmitted messages, into a pre-allocated memory; obtaining time points when the to-be-transmitted messages are written into the memory, and recording the time points in a preset time point list; determining a message transmission frequency within a preset time interval based on the time points in the time point list; and comparing the message transmission frequency with a preset message transmission frequency threshold, and generating monitoring information based on a comparing result. This implementation monitors the message transmission frequency of a process to thereby avoid information codes related to monitoring of each application from being added to the application so as to reduce the program debuging cost, and improve the monitoring efficiency.
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公开(公告)号:US20180077034A1
公开(公告)日:2018-03-15
申请号:US15410614
申请日:2017-01-19
Inventor: Yibing LIANG , Bocong LIU , Zhuo CHEN , Wei HE , Chengliang DENG , Kaiwen FENG
IPC: H04L12/26 , H04L12/725 , H04L29/08 , H04J3/14 , H04J3/06
CPC classification number: H04L43/04 , H04J3/0661 , H04J3/14 , H04L43/106 , H04L45/3065 , H04L67/12 , H04L67/2842 , H04Q9/00 , H04W4/44
Abstract: The present application discloses a data acquisition method and apparatus for a driverless vehicle. A specific implementation of the method comprises: selecting a sensor having the highest importance level among at least one sensor of the driverless vehicle as a first sensor and at least one sensor other than the first sensor to forma second sensor set; acquiring a start time of a current time window, and executing the following data processing steps: executing real-time acquiring and storing operations on data packets collected by each sensor among the at least one sensor after the start time of the current time window; determining whether any condition in the following condition group is met; and in response to determining that any condition in the condition group is met, setting the start time of the current time window to the current time, and continuing executing the data processing steps. This implementation realizes synchronized storage of the data packets collected by the at least one sensor of the driverless vehicle.
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公开(公告)号:US20180074202A1
公开(公告)日:2018-03-15
申请号:US15411795
申请日:2017-01-20
Inventor: Yibing LIANG , Bocong LIU , Zhuo CHEN , Wei HE , Chengliang DENG , Kaiwen FENG
CPC classification number: G01S17/88 , G01S7/003 , G01S17/023 , G01S17/87 , G01S17/936 , G05D1/0231 , G05D1/0257
Abstract: The present application discloses a data acquisition method and apparatus for a driverless vehicle. The driverless vehicle is provided with a LIDAR sensor and a camera sensor, and the method of an embodiment comprises: acquiring a collection period of the LIDAR sensor as a first period; acquiring a start time of a current time window; executing following data processing steps: executing real-time acquiring and storing operations on data packets collected by the LIDAR sensor and the camera sensor after the start time of the current time window; and determining whether a following condition is met: the first period has elapsed from the start time of the current time window to a current time; setting the start time of the current time window to the current time in response to determining that the condition is met, and continuing executing the data processing steps. This embodiment realizes synchronized storage of data packets collected by the LIDAR sensor and data packets collected by the camera sensor in the driverless vehicle.
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