| CPC G06V 20/58 (2022.01) [B60W 60/001 (2020.02); G06F 18/213 (2023.01); G06N 3/08 (2013.01); G06T 7/246 (2017.01); G06V 10/225 (2022.01); G06V 10/46 (2022.01); G06V 10/82 (2022.01); B60W 2420/403 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01)] | 20 Claims |

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1. At least one processor comprising: one or more circuits to: compute, using one or more deep neural networks (DNNs) and based at least on first sensor data obtained using one or more first sensors of an ego-machine, a first feature map representative of one or more first feature descriptors; associate a first feature descriptor with a first object based at least on the one or more first feature descriptors; compute, using the one or more DNNs and based at least on second sensor data obtained using at least one of the one or more first sensors or one or more second sensors of the ego-machine, a second feature map representative of one or more second feature descriptors; associate a second feature descriptor with a second object based at least on the one or more second feature descriptors; determine that the first object and the second object are a same object based at least on the first feature descriptor and the second feature descriptor; and perform one or more operations by the ego-machine based at least on the determination that the first object and the second object are the same object.
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