/Resolving Object Detection Outputs From Multiple Object Detection Pipelines
Abstract

A method includes generating, by a first object detection model of a perception system of an autonomous vehicle and based on a first portion of sensor data describing a first portion of an environment of the autonomous vehicle, a first object detection output that comprises a first predicted class for an object; generating, by a second object detection model of the perception system and based on a second portion of sensor data describing a second portion of the environment, a second object detection output that comprises a predicted distribution over candidate classes for the object; adapting at least a portion of the first object detection output into an adapted representation of the first object detection output; providing the adapted representation in a shared prediction output space with the predicted distribution from the second object detection output; and generating a resolved object detection output based on the adapted representation and the predicted distribution.

Full Text

What is claimed is:

A method includes generating, by a first object detection model of a perception system of an autonomous vehicle and based on a first portion of sensor data describing a first portion of an environment of the autonomous vehicle, a first object detection output that comprises a first predicted class for an object; generating, by a second object detection model of the perception system and based on a second portion of sensor data describing a second portion of the environment, a second object detection output that comprises a predicted distribution over candidate classes for the object; adapting at least a portion of the first object detection output into an adapted representation of the first object detection output; providing the adapted representation in a shared prediction output space with the predicted distribution from the second object detection output; and generating a resolved object detection output based on the adapted representation and the predicted distribution.
Timeline
Filed
06/03/2026
Published
09/24/2026
Granted
Not Available
IPC Codes(2)
G06V 20/58:Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
G06V 10/764:using classification, e.g. of video objects