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Showing results 1 to 6 of 6
- 이종훈 ;
- 현유진 ;
- 권성경 ;
- 이진희 ;
- 손상혁
- 2016-06-09
- 이종훈. (2016-06-09). A HUMAN DETECTING APPARATUS AND METHOD USING A LIDAR SENSOR AND A RADAR SENSOR.
- View : 717
- Download : 0
- 손상혁 ;
- 이종훈 ;
- 현유진 ;
- 이진희 ;
- 권성경
- 2016-06-09
- 손상혁. (2016-06-09). A HUMAN DETECTING APPARATUS AND METHOD USING A LOW-RESOLUTION 2D LIDAR SENSOR.
- View : 787
- Download : 0
Thesis
A new hybrid pruning scheme of a lightweight deep learning for a radar-based foot recognition system
- Eungang Son
- 2024
- Eungang Son. (2024). A new hybrid pruning scheme of a lightweight deep learning for a radar-based foot recognition system. doi: 10.22677/THESIS.200000723489
- DGIST
- View : 270
- Download : 0
- Kwon, Seong Kyung
- 2017
- Kwon, Seong Kyung. (2017). A Novel Human Detection Scheme and Occlusion Reasoning using LIDAR-RADAR Sensor Fusion. doi: 10.22677/thesis.2322841
- DGIST
- View : 1460
- Download : 799
- Jin, Ju Heon
- 2015
- Jin, Ju Heon. (2015). AutoADL: Automatic Detection of Activities of Daily Living and Resident Identification. doi: 10.22677/thesis.1915732
- DGIST
- View : 780
- Download : 138
- Yoon, Jong Wan
- 2016
- Yoon, Jong Wan. (2016). Self-configurable Indoor Localization Using Non-intrusive Distance Measurements. doi: 10.22677/thesis.2295696
- DGIST
- View : 982
- Download : 245
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