Invention Grant
- Patent Title: Ensemble learning for cross-range 3D object detection in driver assist and autonomous driving systems
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Application No.: US17136239Application Date: 2020-12-29
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Publication No.: US12243158B2Publication Date: 2025-03-04
- Inventor: Saudin Botonjic , Sihao Ding , Ying Li , Cheng Zhang , Oskar Karnblad
- Applicant: Volvo Car Corporation
- Applicant Address: SE Gothenburg
- Assignee: Volvo Car Corporation
- Current Assignee: Volvo Car Corporation
- Current Assignee Address: SE Gothenburg
- Agency: Clements Bernard Walker
- Agent Christopher L. Bernard
- Main IPC: G06T17/00
- IPC: G06T17/00

Abstract:
A cross-range 3D object detection method and system operable for training a 3D object detection model with N sub-groups of a point cloud corresponding to N detection distance ranges to form N 3D object detection models forming an ensemble 3D object detection model. Training the 3D object detection model with the N sub-groups of the point cloud corresponding to the N detection distance ranges includes training the 3D object detection model progressively from distant to near. Training the 3D object detection model with the N sub-groups of the point cloud corresponding to the N detection distance ranges includes, each time the 3D object detection model converges, saving resulting weights and adding a corresponding network to the ensemble 3D object detection model.
Public/Granted literature
- US20220207822A1 ENSEMBLE LEARNING FOR CROSS-RANGE 3D OBJECT DETECTION IN DRIVER ASSIST AND AUTONOMOUS DRIVING SYSTEMS Public/Granted day:2022-06-30
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T17/00 | 用于计算机制图的3D建模 |