Invention Grant
- Patent Title: LiDAR-based object detection and classification
-
Application No.: US16103674Application Date: 2018-08-14
-
Publication No.: US11747444B2Publication Date: 2023-09-05
- Inventor: Rita Chattopadhyay , Monica Lucia Martinez-Canales
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G01S7/48
- IPC: G01S7/48 ; G01S17/42 ; G06N20/00 ; G01S17/89 ; G01S17/86 ; G01S17/931

Abstract:
Various systems and methods for implementing LiDAR-based object detection and classification are described herein. An object detection system includes a feature extraction and object identification (FEOI) circuit to: receive segmented data of an environment around the object detection system, the segmented data obtained using a light imaging detection and ranging (LiDAR) system, oriented with respect to a direction of travel; compute spatial and structural parameters of a segment of the segmented data; and use the spatial and structural parameters with a machine learning model to obtain a classification of the segment.
Public/Granted literature
- US20190049560A1 LIDAR-BASED OBJECT DETECTION AND CLASSIFICATION Public/Granted day:2019-02-14
Information query