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Fredrik Österlind - IEEE Xplore Author Profile
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Fredrik Österlind

Also published under: Fredrik Osterlind

Publications
14
Citations
795
Publications by Year
20062015
Co-Authors:
Show All Co-Authors (25)
Image of author Fredrik Österlind

Fredrik Österlind

Also published under: Fredrik Osterlind

Affiliation

Thingsquare, Stockholm, Sweden

Publication Topics

Biography

Fredrik Österlind received the Ph.D. degree from Uppsala University, Uppsala, Sweden, in 2011.,From 2006 to 2012, he was with the Swedish Institute of Computer Science, Swedish ICT, Kista, Sweden. In 2012, he co-founded Thingsquare, Stockholm, Sweden. He is the Inventor of the COOJA network simulator and wrote the Contiki regression testing framework, as well as many other core Contiki mechanisms.(Based on document published on 30 June 2014).
Publications
14
Citations
795
Publications by Year
20062015
Co-Authors:
Show All Co-Authors (25)
Author's Published Works

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Safe and Efficient DRL Driving Policies Using Fuzzy Logic for Urban Lane Changing Scenarios

Ling Han;Xiangyu Ma;Yiren Wang;Lei He;Yipeng Li;Lele Zhang;Qiang Yi

Journal of Intelligent and Connected Vehicles
Year: 2025 | Volume: 8, Issue: 1 | Journal Article |
Lane changing is common in driving. Thus, the possibility of traffic accidents occurring during lane changes is high given the complexity of this process. One of the primary objectives of intelligent driving is to increase a vehicle's behavior, making it more similar to that of a real driver. This study proposes a decision-making framework based on deep reinforcement learning (DRL) in a lane-chang...Show More

Safe and Efficient DRL Driving Policies Using Fuzzy Logic for Urban Lane Changing Scenarios

Ling Han;Xiangyu Ma;Yiren Wang;Lei He;Yipeng Li;Lele Zhang;Qiang Yi

Year: 2025 | Volume: 8, Issue: 1 | Journal Article |

Remote Sensing Estimations of the Seawater Partial Pressure of CO₂ Using Sea Surface Roughness Derived From Synthetic Aperture Radar

Yiren Wang;Zelun Wu;Wenfang Lu;Shujie Yu;Shihui Li;Lingsheng Meng;Xupu Geng;Xiao-Hai Yan

IEEE Transactions on Geoscience and Remote Sensing
Year: 2024 | Volume: 62 | Journal Article |
Remote sensing study of the carbon cycle in coastal marine systems using machine learning methods has received significant attention recently. The partial pressure of carbon dioxide (CO2) in seawater ( {p} CO2w) is a crucial parameter for quantifying the air–sea carbon dioxide exchange. However, previous studies did not consider the effect of sea surface roughness (SSR) on {p} CO2w caused by ...Show More

Remote Sensing Estimations of the Seawater Partial Pressure of CO₂ Using Sea Surface Roughness Derived From Synthetic Aperture Radar

Yiren Wang;Zelun Wu;Wenfang Lu;Shujie Yu;Shihui Li;Lingsheng Meng;Xupu Geng;Xiao-Hai Yan

Year: 2024 | Volume: 62 | Journal Article |

O2SNet: Unsupervised Ship Instance Segmentation from Optical to SAR Images Via Domain Adaptation

Yiren Wang;Chunbo Zhu;Pengmei Xu

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Year: 2022 | Conference Paper |
Considering insufficient data and difficulty of labeling in Synthetic Aperture Radar (SAR) images, we propose a method for unsupervised SAR ship instance segmentation based on domain adaptation. Compared with optical images, unsupervised learning in SAR images faces the difficulties of insufficient data and lacking detail features. The proposed method O2SNet contains both sample and model adaptati...Show More

O2SNet: Unsupervised Ship Instance Segmentation from Optical to SAR Images Via Domain Adaptation

Yiren Wang;Chunbo Zhu;Pengmei Xu

Year: 2022 | Conference Paper |

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