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一种新的基于麦克风阵列的近场声源定位和语音分离算法，它结合双波束二维定位和近场最小方差波束形成技术在阵列近场范围内实现声源定位和语音分离。-based on a microphone array of near-field acoustic source localization and speech separation algorithm, It combines two-beam two-dimensional positioning and near-field minimum vari
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详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This
article presents a family of probabilistic lo
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详细介绍fastslam2.0，是由Michael Montemerlo and Sebastian Thrun所著的IEEE论文。-Montemerlo et al. proposed an algorithm called FastSLAM as an efficient and robust solution to the simultaneous localization and mapping problem. This paper describes a modified versi
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slam算法基础介绍 外文资料 同时定位与作图的同学可以-introduce foreign materials slam algorithm based simultaneous localization and mapping students can look
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rssi定位算法，极大似然估计法，最小二乘法，代码，极大似然估计法-rssi localization algorithm
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rssi定位算法，极大似然估计发，最小二乘法，定位算法，极大似然估计发-localization algorithm
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基于眼睛图像的集合特征，提出了一种基于最长弦的瞳孔定位算法，算法与传统瞳孔定位算法相比，在准确度和速度方面具有优势-Based on the eye image collection features, this paper proposes a pupil location algorithm based on the longest string, algorithm is compared with the traditional pupil localization algorithm,
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基于无线传感器相关的定位算法，以及根据最基本的dv-hop算法改进的一些算法的测距方式及原理。-The localization algorithm based on wireless sensor and the method and principle of the algorithm based on the most basic DV-Hop algorithm.
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This paper advances prior work by proposing a joint learning
framework to simultaneously identify the spatial and temporal
extents of the action of interest in training videos. To get pixel-level
localization results, our method uses dense traj
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车辆自动识别(AVI)是智能交通系统中的一项重要技术。汽车牌照识别是实现车辆自动识别的一种重要的技术手段。而从包含汽车牌照的图像中准确、快速地分割出牌照区域是实现车牌自动识别的一个关键步骤。
本文主要研究了汽车牌照识别中车牌定位问题。车牌定位分为两步进行，首先对车牌进行初定位，对初定位后的车牌图像进行二值化、几何矫正，然后再精确定位车牌区域。同时，在matlab环境下仿真了汽车牌照识别，仿真结果表明，本文算法能很好的识别汽车牌照。
-the Vehicle automatic ident
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