RADIATIVE DAMPING OF OFFSHORE WIND TURBINE GRAVITY BASE FOUNDATIONS AT LOW FREQUENCIES

ABSTRACT With the fast increasing need of clean energy, more and more offshore wind turbines (OWTs) are being planned or constructed

You Only Need Two Detectors to Achieve Multi-Modal 3D Multi-Object Tracking

Firstly, a new multi-object tracking framework is proposed in this paper based on multi-modal fusion. By integrating object detection and multi-object tracking into the same model, this framework avoids the complex data association process in the classical TBD paradigm, and requires no additional training. Secondly, confidence of historical trajectory regression is explored, possible states of a trajectory in the current frame (weak object or strong object) are analyzed and a confidence fusion module is designed to guide non-maximum suppression of trajectory and detection for ordered association. Finally, extensive experiments are conducted on the KITTI and Waymo datasets. The results show that the proposed method can achieve robust tracking by using only two modal detectors and it is more accurate than many of the latest TBD paradigm-based multi-modal tracking methods. The source codes of the proposed method are available at https://github.com/wangxiyang2022/YONTD-MOTComment: 10 pages, 9 figure

COVID-19 Lockdown Increased the Risk of Preterm Birth

Funding Information: This research was supported by the National Key Research and Development Program of China (2018YFC1002804), National Natural Science Foundation of China (82001571 and 81671412), Program of Shanghai Academic Research Leader (20XD1424100), Outstanding Youth Medical Talents of Shanghai Rising Stars of Medical Talent Youth Development Program, Science and Technology Innovation Fund of ShanghaiPeer reviewedPublisher PD