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Background Subtraction Framework for Mobile 3D Sensor Data
- Lee, Seongjo;
- Cho, Seoungjae;
- Nguyen Trong Hieu;
- Phuong Chu;
- Cho, Kyungeun
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0초록
The latest developments in artificial intelligence and sensors have been stimulating research on intelligent service robots and self-driving car technology. Such service robots and self-driving cars must take actions according to the situation by detecting human beings or dynamic environments. This paper proposes a framework that eliminates the background area to facilitate detection of moving robots or vehicles in a dynamic environment. The approach proposed in this paper can eliminate the background at high speed by analyzing an accumulation of 3D data through parallel processing using the voxel data.
키워드
Background subtraction; Mobile sensor platform; 3D LIDAR
- 제목
- Background Subtraction Framework for Mobile 3D Sensor Data
- 저자
- Lee, Seongjo; Cho, Seoungjae; Nguyen Trong Hieu; Phuong Chu; Cho, Kyungeun
- 발행일
- 2017
- 유형
- Proceedings Paper
- 권
- 421
- 페이지
- 1086 ~ 1090