END-TO-END OBJECT TRACKING USING NEURAL NETWORKS WITH ATTENTION
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United States of America
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Issued Date -
Mar 6, 2025
app pub date -
Nov 19, 2024
filing date -
Nov 19, 2024
priority date (Note) -
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Abstract
The described aspects and implementations enable efficient calibration of a sensing system of a vehicle. In one implementation, disclosed is a method and a system to perform the method, the system including the sensing system configured to obtain a plurality of images associated with a corresponding time of a plurality of times. The system further includes a data processing system operatively coupled to the sensing system and configured to generate a plurality of sets of feature tensors (FTs) associated with one or more objects of the environment depicted in a respective image. The data processing system is further to obtain a combined FT and process the combined FT using a neural network to identify one or more tracks characterizing motion of a respective object.
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