3D scene modeling has long been a fundamental problem in computer graphics and computer vision. With the popularity of consumer-level RGB-D cameras,there is a growing interest in digitizing real-world indoor 3D scenes...3D scene modeling has long been a fundamental problem in computer graphics and computer vision. With the popularity of consumer-level RGB-D cameras,there is a growing interest in digitizing real-world indoor 3D scenes. However,modeling indoor3 D scenes remains a challenging problem because of the complex structure of interior objects and poor quality of RGB-D data acquired by consumer-level sensors.Various methods have been proposed to tackle these challenges. In this survey,we provide an overview of recent advances in indoor scene modeling techniques,as well as public datasets and code libraries which can facilitate experiments and evaluation.展开更多
In order to understand the 3D landscape with many h igh buildings in a city, the 2D GIS has to be extended to 3D GIS. The further de velopment of CyberCity has to include various applications of 3D scenes from the out...In order to understand the 3D landscape with many h igh buildings in a city, the 2D GIS has to be extended to 3D GIS. The further de velopment of CyberCity has to include various applications of 3D scenes from the outdoor scenes to the indoor ones. In thispaper, some key techniques, such as data management method and dynamicalvisualization method for the outdoor and the indoor scenes, are discussed.The indoor scene is compared with the outdoor one. The idea of integratedrepresentation of the outdoor and the indoor scenes in CyberCity GIS is discusse d.展开更多
Camouflaged people are extremely expert in actively concealing themselves by effectively utilizing cover and the surrounding environment. Despite advancements in optical detection capabilities through imaging systems,...Camouflaged people are extremely expert in actively concealing themselves by effectively utilizing cover and the surrounding environment. Despite advancements in optical detection capabilities through imaging systems, including spectral, polarization, and infrared technologies, there is still a lack of effective real-time method for accurately detecting small-size and high-efficient camouflaged people in complex real-world scenes. Here, this study proposes a snapshot multispectral image-based camouflaged detection model, multispectral YOLO(MS-YOLO), which utilizes the SPD-Conv and Sim AM modules to effectively represent targets and suppress background interference by exploiting the spatial-spectral target information. Besides, the study constructs the first real-shot multispectral camouflaged people dataset(MSCPD), which encompasses diverse scenes, target scales, and attitudes. To minimize information redundancy, MS-YOLO selects an optimal subset of 12 bands with strong feature representation and minimal inter-band correlation as input. Through experiments on the MSCPD, MS-YOLO achieves a mean Average Precision of 94.31% and real-time detection at 65 frames per second, which confirms the effectiveness and efficiency of our method in detecting camouflaged people in various typical desert and forest scenes. Our approach offers valuable support to improve the perception capabilities of unmanned aerial vehicles in detecting enemy forces and rescuing personnel in battlefield.展开更多
通导融合是综合定位、导航和授时(positioning,navigation,timing,PNT)体系发展的重要组成部分和关键方向。以PNT体系需求以及用户典型应用为牵引,研究了联合定位的融合算法;采用北斗和第五代移动通信技术(5th generation mobile commun...通导融合是综合定位、导航和授时(positioning,navigation,timing,PNT)体系发展的重要组成部分和关键方向。以PNT体系需求以及用户典型应用为牵引,研究了联合定位的融合算法;采用北斗和第五代移动通信技术(5th generation mobile communication technology,5G)这2种PNT手段,设计并构建了2类典型试验场景:室内5G信号定位场景、室外北斗+5G联合定位场景。围绕定位精度这一关键指标开展了试验验证。最后结合未来工业互联网2.0应用以及未来6G的定位预期,阐述了北斗与5G通导融合、一体化的未来发展趋势。展开更多
基金supported by the National Natural Science Foundation of China(Project No.61120106007)Research Grant of Beijing Higher Institution Engineering Research CenterTsinghua University Initiative Scientific Research Program
文摘3D scene modeling has long been a fundamental problem in computer graphics and computer vision. With the popularity of consumer-level RGB-D cameras,there is a growing interest in digitizing real-world indoor 3D scenes. However,modeling indoor3 D scenes remains a challenging problem because of the complex structure of interior objects and poor quality of RGB-D data acquired by consumer-level sensors.Various methods have been proposed to tackle these challenges. In this survey,we provide an overview of recent advances in indoor scene modeling techniques,as well as public datasets and code libraries which can facilitate experiments and evaluation.
基金FundedbytheopenresearchfundprogramofLIESMARS (No .0 1 0 30 2 )
文摘In order to understand the 3D landscape with many h igh buildings in a city, the 2D GIS has to be extended to 3D GIS. The further de velopment of CyberCity has to include various applications of 3D scenes from the outdoor scenes to the indoor ones. In thispaper, some key techniques, such as data management method and dynamicalvisualization method for the outdoor and the indoor scenes, are discussed.The indoor scene is compared with the outdoor one. The idea of integratedrepresentation of the outdoor and the indoor scenes in CyberCity GIS is discusse d.
基金support by the National Natural Science Foundation of China (Grant No. 62005049)Natural Science Foundation of Fujian Province (Grant Nos. 2020J01451, 2022J05113)Education and Scientific Research Program for Young and Middleaged Teachers in Fujian Province (Grant No. JAT210035)。
文摘Camouflaged people are extremely expert in actively concealing themselves by effectively utilizing cover and the surrounding environment. Despite advancements in optical detection capabilities through imaging systems, including spectral, polarization, and infrared technologies, there is still a lack of effective real-time method for accurately detecting small-size and high-efficient camouflaged people in complex real-world scenes. Here, this study proposes a snapshot multispectral image-based camouflaged detection model, multispectral YOLO(MS-YOLO), which utilizes the SPD-Conv and Sim AM modules to effectively represent targets and suppress background interference by exploiting the spatial-spectral target information. Besides, the study constructs the first real-shot multispectral camouflaged people dataset(MSCPD), which encompasses diverse scenes, target scales, and attitudes. To minimize information redundancy, MS-YOLO selects an optimal subset of 12 bands with strong feature representation and minimal inter-band correlation as input. Through experiments on the MSCPD, MS-YOLO achieves a mean Average Precision of 94.31% and real-time detection at 65 frames per second, which confirms the effectiveness and efficiency of our method in detecting camouflaged people in various typical desert and forest scenes. Our approach offers valuable support to improve the perception capabilities of unmanned aerial vehicles in detecting enemy forces and rescuing personnel in battlefield.
文摘通导融合是综合定位、导航和授时(positioning,navigation,timing,PNT)体系发展的重要组成部分和关键方向。以PNT体系需求以及用户典型应用为牵引,研究了联合定位的融合算法;采用北斗和第五代移动通信技术(5th generation mobile communication technology,5G)这2种PNT手段,设计并构建了2类典型试验场景:室内5G信号定位场景、室外北斗+5G联合定位场景。围绕定位精度这一关键指标开展了试验验证。最后结合未来工业互联网2.0应用以及未来6G的定位预期,阐述了北斗与5G通导融合、一体化的未来发展趋势。
