GENERATING LONG-RANGE OBJECTS DATASET USING PROXIMAL TIME-SYNCED DATA FOR OBJECT DETECTION MODELS

Disclosed are embodiments for generating long-range objects dataset using proximal time-synced data for object detection models. In some aspects, a method includes receiving a set of sensor data for a first autonomous vehicle (AV) corresponding to first scene data that is part of an intersecting field of view (FoV) with second scene data of a second AV; inputting the set of sensor data to a simulated trained object detection model of the first AV to generate a first set of object detections for the first scene data; comparing the first set with a second set of object detections generated for the second scene data; supplementing the first set of object detections with information from the second set of object detections to generate a supplemental set of object detections; and generating, using the supplemental set of object detections, a training data set for an object detection model of the first AV.