3D object detection is one of the most challenging research tasks in computer vision. In order to solve the problem of template information dependency of 3D object proposal in the method of 3D object detection based o...3D object detection is one of the most challenging research tasks in computer vision. In order to solve the problem of template information dependency of 3D object proposal in the method of 3D object detection based on 2.5D information, we proposed a 3D object detector based on fusion of vanishing point and prior orientation, which estimates an accurate 3D proposal from 2.5D data, and provides an excellent start point for 3D object classification and localization. The algorithm first calculates three mutually orthogonal vanishing points by the Euler angle principle and projects them into the pixel coordinate system. Then, the top edge of the 2D proposal is sampled by the preset sampling pitch, and the first one vertex is taken. Finally, the remaining seven vertices of the 3D proposal are calculated according to the linear relationship between the three vanishing points and the vertices, and the complete information of the 3D proposal is obtained. The experimental results show that this proposed method improves the Mean Average Precision score by 2.7% based on the Amodal3Det method.展开更多
A preconditioned gridless method is developed for solving the Euler equations at low Mach numbers.The preconditioned system in a conservation form is obtained by multiplying apreconditioning matrix of the type of Weis...A preconditioned gridless method is developed for solving the Euler equations at low Mach numbers.The preconditioned system in a conservation form is obtained by multiplying apreconditioning matrix of the type of Weiss and Smith to the time derivative of the Euler equations,which are discretized using agridless technique wherein the physical domain is distributed by clouds of points.The implementation of the preconditioned gridless method is mainly based on the frame of the traditional gridless method without preconditioning,which may fail to converge for low Mach number simulations.Therefore,the modifications corresponding to the affected terms of preconditioning are mainly addressed.The numerical results show that the preconditioned gridless method still functions for compressible transonic flow simulations and additionally,for nearly incompressible flow simulations at low Mach numbers as well.The paper ends with the nearly incompressible flow over a multi-element airfoil,which demonstrates the ability of the method presented for treating flows over complicated geometries.展开更多
采用商业软件Fluent对燃油直接喷射入横向气流中的破碎雾化过程进行数值模拟,选用欧拉-欧拉方法中的VOF(volume of fluid)耦合level-set方法模拟气液两相流动.数值模拟了横向气流中燃油直接喷射射流破碎雾化过程及其相应流场信息,分析...采用商业软件Fluent对燃油直接喷射入横向气流中的破碎雾化过程进行数值模拟,选用欧拉-欧拉方法中的VOF(volume of fluid)耦合level-set方法模拟气液两相流动.数值模拟了横向气流中燃油直接喷射射流破碎雾化过程及其相应流场信息,分析了流场结构对液柱破碎雾化过程的影响,获得了横向气流中射流破碎点位置以及射流穿透深度,并与试验数据进行了对比.数值计算结果表明:1采用VOF耦合levelset算法能够较好地模拟射流喷入横向气流中燃油破碎雾化过程;2由于反向旋转的涡对的存在,使得液膜和液滴沿着展向(y向)输运,对于液滴的二次雾化起到促进作用;3射流液柱总是在喷嘴下游约8倍直径处开始破碎,且破碎点位置取决于喷嘴几何特性.展开更多
基金Supported by the National Natural Science Foundation of China(61772328,61802253,61831018)
文摘3D object detection is one of the most challenging research tasks in computer vision. In order to solve the problem of template information dependency of 3D object proposal in the method of 3D object detection based on 2.5D information, we proposed a 3D object detector based on fusion of vanishing point and prior orientation, which estimates an accurate 3D proposal from 2.5D data, and provides an excellent start point for 3D object classification and localization. The algorithm first calculates three mutually orthogonal vanishing points by the Euler angle principle and projects them into the pixel coordinate system. Then, the top edge of the 2D proposal is sampled by the preset sampling pitch, and the first one vertex is taken. Finally, the remaining seven vertices of the 3D proposal are calculated according to the linear relationship between the three vanishing points and the vertices, and the complete information of the 3D proposal is obtained. The experimental results show that this proposed method improves the Mean Average Precision score by 2.7% based on the Amodal3Det method.
基金supported by the National Natural Science Foundation of China(No.11172134)
文摘A preconditioned gridless method is developed for solving the Euler equations at low Mach numbers.The preconditioned system in a conservation form is obtained by multiplying apreconditioning matrix of the type of Weiss and Smith to the time derivative of the Euler equations,which are discretized using agridless technique wherein the physical domain is distributed by clouds of points.The implementation of the preconditioned gridless method is mainly based on the frame of the traditional gridless method without preconditioning,which may fail to converge for low Mach number simulations.Therefore,the modifications corresponding to the affected terms of preconditioning are mainly addressed.The numerical results show that the preconditioned gridless method still functions for compressible transonic flow simulations and additionally,for nearly incompressible flow simulations at low Mach numbers as well.The paper ends with the nearly incompressible flow over a multi-element airfoil,which demonstrates the ability of the method presented for treating flows over complicated geometries.
文摘采用商业软件Fluent对燃油直接喷射入横向气流中的破碎雾化过程进行数值模拟,选用欧拉-欧拉方法中的VOF(volume of fluid)耦合level-set方法模拟气液两相流动.数值模拟了横向气流中燃油直接喷射射流破碎雾化过程及其相应流场信息,分析了流场结构对液柱破碎雾化过程的影响,获得了横向气流中射流破碎点位置以及射流穿透深度,并与试验数据进行了对比.数值计算结果表明:1采用VOF耦合levelset算法能够较好地模拟射流喷入横向气流中燃油破碎雾化过程;2由于反向旋转的涡对的存在,使得液膜和液滴沿着展向(y向)输运,对于液滴的二次雾化起到促进作用;3射流液柱总是在喷嘴下游约8倍直径处开始破碎,且破碎点位置取决于喷嘴几何特性.
