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公开(公告)号:US20230230392A1
公开(公告)日:2023-07-20
申请号:US18054773
申请日:2022-11-11
Inventor: Feng TIAN , Daochen CHONG , Yuting LIU
CPC classification number: G06V20/588 , G06T7/80
Abstract: A camera extrinsic parameter correction method includes acquiring multiple road surface images continuous in time and performing classification to obtain a mutated image and a time-adjacent image corresponding to the mutated image; determining a matching point pair from pixel points of the mutated image and pixel points of the corresponding time-adjacent image and determining a target view angle point pair of the matching point pair in a target view angle; and correcting a camera extrinsic parameter corresponding to the mutated image according to the difference between two target view angle points in the target view angle point pair, where the camera extrinsic parameter is configured for conversion of a pixel point in a current view angle into a pixel point in the target view angle.
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公开(公告)号:US20230039293A1
公开(公告)日:2023-02-09
申请号:US17973326
申请日:2022-10-25
Inventor: Feng TIAN , Daochen CHONG , Yuting LIU
Abstract: A method of processing an image, an electronic device, and a storage medium, which relate to the artificial intelligence field, in particular to fields of computer vision and intelligent transportation technologies. The method includes: determining at least one key frame image in a scene image sequence captured by a target camera; determining a camera pose parameter associated with each key frame image in the at least one key frame image, according to a geographic feature associated with the key frame image; and projecting each scene image in the scene image sequence to obtain a target projection image according to the camera pose parameter associated with the key frame image, so as to generate a scene map based on the target projection image. The geographic feature associated with any key frame image indicates localization information of the target camera at a time instant of capturing the corresponding key frame image.
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公开(公告)号:US20230280182A1
公开(公告)日:2023-09-07
申请号:US18055381
申请日:2022-11-14
Inventor: Tianxiong DUAN , Baofeng MA , Daochen CHONG , Yuting LIU
CPC classification number: G01C21/3841 , G01C21/32
Abstract: Provided are a high-precision map data collection method and apparatus, an electronic device, and a storage medium, relating to the field of data processing technology and, in particular, to the field of self-driving technology. The solution includes acquiring high-precision map data collected by a data collection device at a target time; and determining the satellite navigation system time corresponding to the target time and establishing an association between the high-precision map data and the satellite navigation system time.
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公开(公告)号:US20230206556A1
公开(公告)日:2023-06-29
申请号:US18116571
申请日:2023-03-02
Inventor: Daochen CHONG , Feng TIAN , Baofeng MA , Yao LUO , Tianxiong DUAN , Xingtao WANG , Bu WANG , Yuqi XIA , Yuting LIU
CPC classification number: G06T17/05 , G06T7/174 , G06T7/70 , G06T17/205 , G06T2207/10028 , G06T2207/30236 , G06T2207/30244 , G06T2207/30252 , G06T2210/56 , G06T2207/20021
Abstract: A method of processing map data, an electronic device, and a storage medium, which relate to a field of a computer technology, in particular to fields of intelligent transportation technology, image processing technology, etc. The method of processing the map data includes: processing sensor data for a traffic object to obtain point cloud data for the traffic object, where the sensor data includes image data; obtaining mesh data based on the point cloud data; processing the image data based on an association between the mesh data and the image data, so as to obtain processed image data; and obtaining the map data for the traffic object based on the processed image data.
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公开(公告)号:US20230147594A1
公开(公告)日:2023-05-11
申请号:US18150994
申请日:2023-01-06
Inventor: Deguo XIA , Hongfei ZHU , Yaqian SHEN , Jiaqi LIU , Yuting LIU
IPC: G01C21/00
CPC classification number: G01C21/3815
Abstract: The present disclosure provides a method for integratedly updating map data, a device, and a storage medium, relates to the field of artificial intelligence technology such as vehicle-road coordination and intelligent transportation. An embodiment of the method includes: acquiring map update data; generating an updated confidence of map features based on the map update data; and updating uniformly a first-precision map and a second-precision map based on the updated confidence of the map features, where precision of the first-precision map is higher than precision of the second-precision map.
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