Title:
METHOD AND DEVICE FOR MULTI-SENSOR DATA-BASED FUSION INFORMATION GENERATION FOR 360-DEGREE DETECTION AND RECOGNITION OF SURROUNDING OBJECT
Document Type and Number:
WIPO Patent Application WO/2021/167189
Kind Code:
A1
Abstract:
Presented are a method and a device for multi-sensor data-based fusion information generation for 360-degree detection and recognition of a surrounding object. The present invention proposes a method for multi-sensor data-based fusion information generation for 360-degree detection and recognition of a surrounding object, the method comprising the steps of: acquiring a feature map from a multi-sensor signal by using a deep neural network; converting the acquired feature map into an integrated three-dimensional coordinate system; and generating a fusion feature map for performing recognition by using the converted integrated three-dimensional coordinate system.
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Inventors:
CHOI JUN WON (KR)
YOO JIN HYEOK (KR)
YOO JIN HYEOK (KR)
Application Number:
PCT/KR2020/010619
Publication Date:
August 26, 2021
Filing Date:
August 11, 2020
Export Citation:
Assignee:
IUCF HYU (KR)
International Classes:
G06T5/50; G06K9/62; G06T3/00; G06T3/40; G06T7/11
Foreign References:
| KR20190131207A | 2019-11-26 | |||
| KR102029850B1 | 2019-10-08 | |||
| KR101899549B1 | 2018-09-17 | |||
| KR20190137087A | 2019-12-10 |
Other References:
ENRICO SCHRÖDER, SASCHA BRAUN, MIRKO MÄHLISCH, JULIEN VITAY, FRED H. HAMKER: "Feature Map Transformation for Multi-sensor Fusion in Object Detection Networks for Autonomous Driving", AISC, vol. 944, 24 April 2019 (2019-04-24), pages 118 - 131, XP055839308
Attorney, Agent or Firm:
YANG, Sungbo (KR)
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