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Object Classification-Level Radar-Camera Sensor Fusion Scheme for Intelligent Automotive System

Title
Object Classification-Level Radar-Camera Sensor Fusion Scheme for Intelligent Automotive System
Authors
Hyun, EuginJin, Young Seok전형철
DGIST Authors
Hyun, Eugin
Issue Date
2018-05-24
Citation
The 13th IEMEK Symposium on Embedded Technology (ISET 2018), 66-68
Type
Conference
ISBN
979-11-86915-05-9
Abstract
In this paper, we proposed the target classification-level based radar-camera sensor fusion scheme. The radar sensor provides the target detection information (x-y positions and the radial velocity) to the camera sensor. Moreover, the radar based target classification results, which represent human, vehicle, and others. Based on the detection results of radar sensor, the camera can check only ROI(Region Of Interest) part of the entire image. In addition, based on the classification results of radar sensor, the camera can search only a part in all database.
URI
http://hdl.handle.net/20.500.11750/14992
Publisher
IEMEK
Related Researcher
  • Author Hyun, Eugin  
  • Research Interests Radar system, Radar signal processing, Automotive radar, Surveillance radar, Commercial radar, Defence radar,
Files:
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Collection:
Division of Automotive Technology2. Conference Papers


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