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1.发明授权公开(公告)号：US10127092B1
公开(公告)日：2018-11-13
申请号：US16039144
申请日：2018-07-18
Inventor： Yu Ma , Weide Zhang , Wei He , Haifeng Wang , Yibing Liang , Zhuo Chen
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：US10069696B2
公开(公告)日：2018-09-04
申请号：US15410614
申请日：2017-01-19
Inventor： Yibing Liang , Bocong Liu , Zhuo Chen , Wei He , Chengliang Deng , Kaiwen Feng
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：US09935651B1
公开(公告)日：2018-04-03
申请号：US15410642
申请日：2017-01-19
Inventor： Wei He , Liming Xia , Yu Ma , Kaiwen Feng , Yibing Liang , Zhuo Chen
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：US20180067878A1
公开(公告)日：2018-03-08
申请号：US15409930
申请日：2017-01-19
Inventor： Jingchao Feng , Liming Xia , Quan Wang , Ning Qu , Zhuo Chen , Yu Ma , Haifeng Wang , Yibing Liang
IPC: G06F13/16 , G06F12/1072 , G06F12/02
CPC classification number: G06F13/1663 , G06F12/023 , G06F12/084 , G06F12/0842 , G06F12/1072 , G06F2212/1044
Abstract: The present application discloses a method and an apparatus for transmitting information. A specific implementation of the method includes: sending first information to be transmitted to a shared memory; traversing memory groups in the shared memory, and acquiring a first memory unit suitable for the amount of the first information, each of the memory groups including at least one memory unit, each of memory units in the memory group having an identical size, and the memory units in different memory groups having different sizes; and storing the first information into the acquired first memory unit, so that the first information is read from the first memory unit by a receiving node. Through this implementation, the first information that needs to be transmitted is stored into the memory unit suitable for the amount of the first information, thereby saving memory resources.
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公开(公告)号：US10460172B2
公开(公告)日：2019-10-29
申请号：US15409667
申请日：2017-01-19
Inventor： Kaiwen Feng , Zhuo Chen , Bocong Liu , Chengliang Deng , Yibing Liang , Yu Ma
Abstract: The present application discloses a method and an apparatus for processing point cloud data. The method of an embodiment comprises: recognizing an object in a to-be-labeled point cloud frame by using an obstacle recognition algorithm, to obtain a recognition result; presenting the recognition result as an initial labeling result of the point cloud frame; and updating the labeling result in response to a correction operation by a user on the labeling result. According to the embodiment, the speed and accuracy of point cloud data labeling are improved.
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Patent Agency Ranking
公开(公告)号：US10261724B2
公开(公告)日：2019-04-16
申请号：US15411604
申请日：2017-01-20
Inventor： Yibing Liang , Kaiwen Feng , Bocong Liu , Zhuo Chen , Yu Ma , Wei He
Abstract: This disclosures discloses a method and apparatus for acquiring data in a robot operating system. A specific implementation of the method includes: monitoring in real time a data storage area of an information acquirer, the information acquirer configured to acquire location state data of a driverless vehicle; obtaining updated data if the updated data are present in the data storage area; and storing the updated data into a data buffer corresponding to the information acquirer. The implementation improves the robustness of the data.
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公开(公告)号：US20180074176A1
公开(公告)日：2018-03-15
申请号：US15411927
申请日：2017-01-20
Inventor： Kaiwen Feng , Zhuo Chen , Bocong Liu , Chengliang Deng , Yibing Liang , Haifeng Wang
IPC: G01S7/497
CPC classification number: G01S7/497 , G01S7/4808 , G01S17/42 , G01S17/89 , G01S17/936
Abstract: A motion compensation method and apparatus applicable to laser point cloud data includes acquiring laser point cloud data of a frame; using an acquisition time of a start point as a target time; interpolating coordinate transformation relations and an end laser point, to obtain coordinate transformation relations of other laser points, and transforming coordinates of the other laser points to the coordinates at the target time. During motion compensation on each frame of laser point cloud data, the coordinate transformation relations corresponding to only the start and end laser points are obtained, and the coordinate transformation relations corresponding to the two points are interpolated to obtain transformation relations corresponding to other laser points, thus performing motion compensation. Therefore, the processing speed is improved and meets high real-time requirements on systems such as autopilot control systems.
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公开(公告)号：US20180073858A1
公开(公告)日：2018-03-15
申请号：US15411911
申请日：2017-01-20
Inventor： Chengliang Deng , Yu Ma , Kaiwen Feng , Yibing Liang , Bocong Liu , Zhuo Chen
IPC: G01B11/00
CPC classification number: G01B11/002 , G01B11/24 , G01S1/00 , G01S7/486 , G01S7/4912 , G01S17/42 , G01S17/89 , G01S17/93
Abstract: A method and an apparatus for processing laser point cloud data includes obtaining laser point data to be used by a data receiver comprising an acquisition time; determining a timestamp for representing the acquisition time, and splitting the timestamp into a base timestamp and an offset timestamp; and storing the base timestamp and compressed laser point cloud data. Laser point cloud data output by a laser radar is compressed and comprises only offset timestamps corresponding to respective laser points. The base timestamp and the offset timestamp may be added to obtain the required synchronization precision timestamp, and the data is synchronized. The processing speed of a CPU or GPU for the laser point cloud data is improved while the timestamp precision reaches the precision required by synchronization of the laser point cloud data, and storage space is saved.
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公开(公告)号：US10605902B2
公开(公告)日：2020-03-31
申请号：US15411927
申请日：2017-01-20
Inventor： Kaiwen Feng , Zhuo Chen , Bocong Liu , Chengliang Deng , Yibing Liang , Haifeng Wang
Abstract: A motion compensation method and apparatus applicable to laser point cloud data includes acquiring laser point cloud data of a frame; using an acquisition time of a start point as a target time; interpolating coordinate transformation relations and an end laser point, to obtain coordinate transformation relations of other laser points, and transforming coordinates of the other laser points to the coordinates at the target time. During motion compensation on each frame of laser point cloud data, the coordinate transformation relations corresponding to only the start and end laser points are obtained, and the coordinate transformation relations corresponding to the two points are interpolated to obtain transformation relations corresponding to other laser points, thus performing motion compensation. Therefore, the processing speed is improved and meets high real-time requirements on systems such as autopilot control systems.
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公开(公告)号：US10605587B2
公开(公告)日：2020-03-31
申请号：US15411911
申请日：2017-01-20
Inventor： Chengliang Deng , Yu Ma , Kaiwen Feng , Yibing Liang , Bocong Liu , Zhuo Chen
IPC: G01B11/00 , G01S17/42 , G01S7/486 , G01S7/4912 , G01S17/89 , G01S1/00 , G01B11/24 , G01S17/93 , G06T17/00 , G01S17/88 , G01S7/48
Abstract: A method and an apparatus for processing laser point cloud data includes obtaining laser point data to be used by a data receiver comprising an acquisition time; determining a timestamp for representing the acquisition time, and splitting the timestamp into a base timestamp and an offset timestamp; and storing the base timestamp and compressed laser point cloud data. Laser point cloud data output by a laser radar is compressed and comprises only offset timestamps corresponding to respective laser points. The base timestamp and the offset timestamp may be added to obtain the required synchronization precision timestamp, and the data is synchronized. The processing speed of a CPU or GPU for the laser point cloud data is improved while the timestamp precision reaches the precision required by synchronization of the laser point cloud data, and storage space is saved.
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