Future object trajectory predictions for autonomous machine applications
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United States of America Patent
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May 21, 2024
Grant Date -
Mar 23, 2023
app pub date -
Sep 26, 2022
filing date -
Sep 11, 2018
priority date (Note) -
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status (Latency Note)
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Abstract
In various examples, historical trajectory information of objects in an environment may be tracked by an ego-vehicle and encoded into a state feature. The encoded state features for each of the objects observed by the ego-vehicle may be used—e.g., by a bi-directional long short-term memory (LSTM) network—to encode a spatial feature. The encoded spatial feature and the encoded state feature for an object may be used to predict lateral and/or longitudinal maneuvers for the object, and the combination of this information may be used to determine future locations of the object. The future locations may be used by the ego-vehicle to determine a path through the environment, or may be used by a simulation system to control virtual objects—according to trajectories determined from the future locations—through a simulation environment.
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