Automatische Entfernung Ausgewählter Trainingsdaten aus einem Datensatz

Details

Veröffentlichungs-Nr.

EP4517688

Aktenzeichen

EP23194559

Anmeldetag

31. August 2023

Veröffentlichung

5. März 2025

Rechtsraum

EP

IPC

G06V10/774G06V10/776G06V10/82G06N3/0464G06N3/084G06N3/09

Abstract

Autonomous vehicles utilize perception to identify objects in a vehicle's surrounding environment, and to plan a trajectory. In perceiving an AV's surroundings, an object detection model uses sensor data from various AV sensors to detect objects in the AV surroundings. An object detection model can be trained to detect objects using training datasets having sensor data and ground truth objects. In training, the object detection model uses the sensor data to identify objects in the locations of the ground truth objects. However, sometimes there is little or no sensor data corresponding to the ground truth objects, and the model is not able to learn patterns in sensor data to correctly detect the objects. Systems and methods are provided herein for removing ground truth objects that do not have sufficient corresponding sensor data from the training dataset, thereby preventing these objects from dominating the loss and interfering with the model learning useful patterns.

Anmelder

Firma

GM Cruise Holdings LLC

Land

🇺🇸 USA

Fachgebiete