Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Dong-Sung Pae"'
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5213 (2024)
Goal-conditioned Reinforcement Learning (RL) holds promise for addressing intricate control challenges by enabling agents to learn and execute desired skills through separate decision modules. However, the irregular occurrence of required skills pose
Externí odkaz:
https://doaj.org/article/7f20f205ee5c423a9bd7287ee69eb033
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4298 (2023)
Multi-object tracking (MOT) has gained significant attention in computer vision due to its wide range of applications. Specifically, detection-based trackers have shown high performance in MOT, but they tend to fail in occlusive scenarios such as the
Externí odkaz:
https://doaj.org/article/2543f7c9ce744e2e9cebc4f87d311022
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 781 (2023)
The generative adversarial neural network has shown a novel result in the image generation area. However, applying it to a semantic segmentation inpainting task exhibits instability due to the different data distribution. To solve this problem, we pr
Externí odkaz:
https://doaj.org/article/c9e563df8e424598a1a8b65a49249126
Publikováno v:
Applied Sciences, Vol 11, Iss 8, p 3703 (2021)
Path planning research plays a vital role in terms of safety and comfort in autonomous driving systems. This paper focuses on safe driving and comfort riding through path planning in autonomous driving applications and proposes autonomous driving pat
Externí odkaz:
https://doaj.org/article/bcf5b3df75734f6498722a49ab6ee9ea
Publikováno v:
Journal of Advanced Transportation, Vol 2018 (2018)
A new obstacle avoidance method for autonomous vehicles called obstacle-dependent Gaussian potential field (ODG-PF) was designed and implemented. It detects obstacles and calculates the likelihood of collision with them. In this paper, we present a n
Externí odkaz:
https://doaj.org/article/ef982a472c3143ab855685f8ea02f165
Publikováno v:
The Journal of Korean Institute of Information Technology. 21:75-81
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f03275c70fc979c9d49d08e5962e9a8a
https://doi.org/10.14801/jkiit.2023.21.3.75
https://doi.org/10.14801/jkiit.2023.21.3.75
Publikováno v:
IEEE Access. 11:21068-21080
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd5a26cc7d7dbb7881c4c5c6855acaec
https://doi.org/10.1109/access.2023.3250643
https://doi.org/10.1109/access.2023.3250643
Publikováno v:
Intelligent Automation & Soft Computing. 32:657-673
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16dd41bbc0ffa5b0417bc598681d7906
https://doi.org/10.32604/iasc.2022.020849
https://doi.org/10.32604/iasc.2022.020849
Publikováno v:
2022 22nd International Conference on Control, Automation and Systems (ICCAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be197efa8f777cf2ba79656538cee2aa
https://doi.org/10.23919/iccas55662.2022.10003854
https://doi.org/10.23919/iccas55662.2022.10003854
Publikováno v:
International Journal of Control, Automation and Systems. 19:40-53
Over the past few years, numerous technologies have emerged to enable safe and convenient driving. However, there still exist various problems autonomous vehicles should overcome. Precise detection and perception of surrounding environments are the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24389355925e7b9a39d52c9f372ffda0
https://doi.org/10.1007/s12555-020-0085-6
https://doi.org/10.1007/s12555-020-0085-6