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pro vyhledávání: '"Hou-Ning Hu"'
A reliable and accurate 3D tracking framework is essential for predicting future locations of surrounding objects and planning the observer's actions in numerous applications such as autonomous driving. We propose a framework that can effectively ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71547a50422d392cd96d8f5dbddd8456
Publikováno v:
IROS
The complementary characteristics of active and passive depth sensing techniques motivate the fusion of the Li-DAR sensor and stereo camera for improved depth perception. Instead of directly fusing estimated depths across LiDAR and stereo modalities,
Autor:
Juan-Ting Lin, Min Sun, Meng-Li Shih, Hung-Kuo Chu, Hou-Ning Hu, Hsien-Tzu Cheng, Fu-En Wang, Shang-Ta Yang
Publikováno v:
Computer Vision – ACCV 2018 ISBN: 9783030208721
ACCV (5)
ACCV (5)
As 360\(^{\circ }\) cameras become prevalent in many autonomous systems (e.g., self-driving cars and drones), efficient 360\(^{\circ }\) perception becomes more and more important. We propose a novel self-supervised learning approach for predicting t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08578b3618842497cfdd8bdb407b426d
https://doi.org/10.1007/978-3-030-20873-8_4
https://doi.org/10.1007/978-3-030-20873-8_4
Publikováno v:
CHI
360° videos give viewers a spherical view and immersive experience of surroundings. However, one challenge of watching 360° videos is continuously focusing and re-focusing intended targets. To address this challenge, we developed two Focus Assistan