Abstract: A device for processing sensor data is configured to receive the first frames from a first sensor; receive the second frames from a second sensor; perform a first feature extraction on the first frames using a first dynamic neural network to determine first features; perform a second feature extraction on the second frames using a second dynamic neural network to determine second features; determine a first delay associated with the first features; determine a second delay associated with the second features; modify a topology of the second dynamic neural network based on the first delay and the second delay; and use the second dynamic neural network with the modified topology to generate an output.

Abstract: Systems and techniques are described herein for processing data. For instance, a method for processing data is provided. The method may include obtaining source features generated based on first sensor data captured using a first set of sensors; obtaining source semantic attributes related to the source features; obtaining target features generated based on second sensor data captured using a second set of sensors; obtaining map information; obtaining location information of a device comprising the second set of sensors; obtaining target semantic attributes from the map information based on the location information; aligning the target features with a set of the source features, based on the source semantic attributes and the target semantic attributes, to generate aligned target features; and processing the aligned target features to generate an output.

Abstract: A method for selecting one or more Regions of Interest (RoIs) for human annotations includes obtaining sensor data generated by one or more sensors of a vehicle; applying at least one class-agnostic heuristic function to the sensor data to determine a presence and an approximate position of one or more objects in an RoI of the sensor data; selecting one or more RoIs having proposed annotations for the one or more objects for refinement by an annotator; and outputting the one or more selected RoIs.

Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method of image processing includes receiving first kinematic information associated with a camera image sensor; receiving, by the processor, point cloud data from a light detection and ranging (LiDAR) sensor; generating, by the processor, first image data that is time-synchronized with the point cloud data based on the first kinematic information and a neural radiance fields (NeRF) model; and generating, by the processor, fused data that combines the first image data and the point cloud data. Other aspects and features are also claimed and described.