A method implements automatic labeling of objects from LiDAR point clouds via trajectory level refinement. The method includes executing an encoder model using a set of bounding box vectors and a set of point clouds to generate a set of combined feature vectors and executing an attention model using the set of combined feature vectors to generate a set of updated feature vectors. The method further includes executing a decoder model using the set of updated feature vectors to generate a set of pose residuals and a size residual and updating the set of bounding box vectors with the set of pose residuals and the size residual to generate a set of refined bounding box vectors. The method further includes executing an action responsive to the set of refined bounding box vectors.
AUTOMATIC LABELING OF OBJECTS FROM LIDAR POINT CLOUDS VIA TRAJECTORY-LEVEL REFINEMENT
12.12.2024
Patent
Elektronische Ressource
Englisch
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G01S RADIO DIRECTION-FINDING , Funkpeilung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
TRACKING OBJECTS IN LIDAR POINT CLOUDS WITH ENHANCED TEMPLATE MATCHING
Europäisches Patentamt | 2020
|Tracking objects in LIDAR point clouds with enhanced template matching
Europäisches Patentamt | 2021
|Patch-Based Semantic Labeling of Road Scene Using Colorized Mobile LiDAR Point Clouds
Online Contents | 2015
|