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公开(公告)号：US20240230864A9
公开(公告)日：2024-07-11
申请号：US17975943
申请日：2022-10-28
发明人： Glenn Sweeney , Zhanping Xu , Brandon Seilhan , Ryan Suess , Alexander Lesnick , Kartheek Chandu , Ralph Spickermann
IPC分类号： G01S7/497 , G01S17/931
CPC分类号： G01S7/497 , G01S17/931
摘要： Various technologies described herein pertain to mitigating motion misalignment of a time-of-flight sensor system and/or generating transverse velocity estimate data utilizing the time-of-flight sensor system. A stream of frames outputted by a sensor of the time-of-flight sensor system is received. A pair of non-adjacent frames in the stream of frames is identified. Computed optical flow data is calculated based on the pair of non-adjacent frames in the stream of frames. Estimated optical flow data for at least one differing frame can be generated based on the computed optical flow data, and the at least one differing frame can be realigned based on the estimated optical flow data. Moreover, transverse velocity estimate data for an object can be generated based on the computed optical flow data.
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公开(公告)号：US20240230863A9
公开(公告)日：2024-07-11
申请号：US17970518
申请日：2022-10-20
发明人： Glenn Sweeney , Zhanping Xu , Brandon Seilhan , Ryan Suess , Alexander Lesnick , Kartheek Chandu , Ralph Spickermann
IPC分类号： G01S7/497 , G01S17/931
CPC分类号： G01S7/497 , G01S17/931
摘要： Various technologies described herein pertain to mitigating motion misalignment of a time-of-flight sensor system and/or generating transverse velocity estimate data utilizing the time-of-flight sensor system. A stream of frames outputted by a sensor of the time-of-flight sensor system is received. A pair of non-adjacent frames in the stream of frames is identified. Computed optical flow data is calculated based on the pair of non-adjacent frames in the stream of frames. Estimated optical flow data for at least one differing frame can be generated based on the computed optical flow data, and the at least one differing frame can be realigned based on the estimated optical flow data. Moreover, transverse velocity estimate data for an object can be generated based on the computed optical flow data.
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公开(公告)号：US20240134021A1
公开(公告)日：2024-04-25
申请号：US17975943
申请日：2022-10-27
发明人： Glenn Sweeney , Zhanping Xu , Brandon Seilhan , Ryan Suess , Alexander Lesnick , Kartheek Chandu , Ralph Spickermann
IPC分类号： G01S7/497 , G01S17/931
CPC分类号： G01S7/497 , G01S17/931
摘要： Various technologies described herein pertain to mitigating motion misalignment of a time-of-flight sensor system and/or generating transverse velocity estimate data utilizing the time-of-flight sensor system. A stream of frames outputted by a sensor of the time-of-flight sensor system is received. A pair of non-adjacent frames in the stream of frames is identified. Computed optical flow data is calculated based on the pair of non-adjacent frames in the stream of frames. Estimated optical flow data for at least one differing frame can be generated based on the computed optical flow data, and the at least one differing frame can be realigned based on the estimated optical flow data. Moreover, transverse velocity estimate data for an object can be generated based on the computed optical flow data.
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公开(公告)号：US20240134020A1
公开(公告)日：2024-04-25
申请号：US17970518
申请日：2022-10-19
发明人： Glenn Sweeney , Zhanping Xu , Brandon Seilhan , Ryan Suess , Alexander Lesnick , Kartheek Chandu , Ralph Spickermann
IPC分类号： G01S7/497 , G01S17/931
CPC分类号： G01S7/497 , G01S17/931
摘要： Various technologies described herein pertain to mitigating motion misalignment of a time-of-flight sensor system and/or generating transverse velocity estimate data utilizing the time-of-flight sensor system. A stream of frames outputted by a sensor of the time-of-flight sensor system is received. A pair of non-adjacent frames in the stream of frames is identified. Computed optical flow data is calculated based on the pair of non-adjacent frames in the stream of frames. Estimated optical flow data for at least one differing frame can be generated based on the computed optical flow data, and the at least one differing frame can be realigned based on the estimated optical flow data. Moreover, transverse velocity estimate data for an object can be generated based on the computed optical flow data.
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