ID 原文 译文
24075 然而，室内场景中地磁场会受到比较严重的干扰，磁力计自身也存在一定误差，严重影响了地磁场辅助定位的航向校正效果。 However, the earth magnetic field suffers from severe interference in indoor scenarios, and the magnetometer itself has measurement errors, the above reasons have dramatically limited the performance of the magnetometer-aided heading error calibration.
24076 该文提出一种地磁辅助的室内定位航向校正方法，该方法首先结合人体运动模型对磁力计进行校准，获取相关校准系数，提高磁力计解算航向精度。 This paper proposes a magnetic-aided heading error calibration approach. Firstly, the magnetometer is calibrated according to the motion model of the pedestrian and the calibration coefficients obtained are used to improve the accuracy of heading derived by the magnetometer.
24077 在此基础上利用改进的磁场准静态检测方法提取可用的磁力计观测量，经校准系数校准后结合零速更新算法(Zero velocity UPdaTe, ZUPT)辅助的扩展卡尔曼滤波(Extended Kalman Filter, EKF)，对陀螺仪航向进行滤波校正。 On this basis, a proved Quasi-Static magnetic Field (QSF) detection approach is proposed to extract the usable magnetic information fed into Zero velocity UPdaTe (ZUPT)- aided Extended Kalman Filter (EKF) algorithm to conduct the heading calibration.
24078 实验结果显示在长约 684 m 的轨迹下航向误差仅为 3.2°定位误差小于 0.5 m，定位精度优于 0.2%，验证了该方法较传统的磁场辅助航向校正方法的优越性。 The experiment results show that the 684 meter long walk only has a position error of less than 0.5 meter and heading error of 3.2 degrees, and the position error is less than 0.2% of the total walking distance. The results indicate that the performance of the proposed method is superior to the existing approach.
24079 水体对光能量有较强的吸收和散射作用，造成水下图像颜色失真，对比度下降。 Due to the absorption and scattering when light is traveling in water, there are two major problems of underwater imaging: color distortion and low contrast.
24080 传统的图像增强方法和复原方法处理水下图像时各有不足，该文结合水下成像物理模型和基于 Retinex 理论的图像增强算法，提出水下图像清晰化方案。 Traditional enhancement and restoration methods can not handle these problems very well, so, this paper proposes a new approach based on the underwater optical imaging model and a Retinex-based enhancing approach.
24081 首先，基于图像统计特性给出一种简单的颜色校正方法，以去除颜色失真； Firstly, a simple color correction method based on statistical method is adopted to address the color distortion.
24082 在水下图像成像理论框架下，利用边界约束求得初始透射率，再使用自适应维纳滤波进行优化； Then the adaptive Wiener filter is used to optimize the initial transmission map with the boundary constraints.
24083 在此基础上，提出加权 L1正则化模型对亮度层进行增强，最后再进行自适应 Gamma 校正。 In order to make the result more naturalness, a weighted L1 regularization model is proposed to enhance the luminance layer. Finally, an adaptive Gamma correction operation is adopted for post-processing.
24084 实验结果表明，算法可以有效去除颜色失真，而且能够大幅提升图像的对比度和清晰度。 Experimental results demonstrate the effectiveness of the proposed method in restoring the original color of the scene and enhancing image contrast and the visibility.