Systems and Methods for Sensor Data Packet Processing and Spatial Memory Updating for Robotic Platforms

An autonomous vehicle comprising:

• one or more sensors;
• one or more processors;
• and
• one or more computer-readable medium storing instructions that when executed by the one or more processors cause the autonomous vehicle to perform operations, the operations comprising:
• obtaining, through the one or more sensors, a first sensor data packet representing a first portion of a view of a surrounding environment of the autonomous vehicle;
• generating, using one or more machine-learned models, a first local feature map based at least in part on the first sensor data packet, wherein the first local feature map is indicative of one or more first local features associated with the first portion of the view of the surrounding environment;
• updating a spatial map to include the first local features, wherein the spatial map comprises previously extracted local features associated with a previous sensor data packet representing a different portion of the view of the surrounding environment than the first portion;
• and
• determining an object within the surrounding environment of the autonomous vehicle based at least in part on the spatial map including the first local features.

An autonomous vehicle control system, the system comprising:

• one or more processors;
• and
• one or more computer-readable medium storing instructions that when executed by the one or more processors cause the autonomous vehicle control system to perform operations, the operations comprising:
• obtaining a first sensor data packet representing a first portion of a view of a surrounding environment of an autonomous vehicle;
• generating using one or more machine-learned models, a first local feature map based at least in part on the first sensor data packet, wherein the first local feature map is indicative of one or more first local features associated with the first portion of the view of the surrounding environment;
• updating a spatial map to include the first local features, wherein the spatial map comprises previously extracted local features associated with a previous sensor data packet representing a different portion of the view of the surrounding environment than the first portion;
• and
• determining an object within the surrounding environment of the autonomous vehicle based at least in part on the spatial map including the first local features.