improving the accuracy an‎d computational efficiency of visual navigation using deep learning algorithms

1/20/2027 12:00:00 AM

visual navigation an‎d mapping are key challenges in the field of robotics an‎d autonomous navigation .SLAM ( simultaneous mapping an‎d mapping ) have been developed to determine the direction of camera movement an‎d to restore the structure of the environment , but traditional methods are often sensitive to optical changes , complex tissues , an‎d fast - camera movements . in this research , a new framework for visual locating an‎d 3 d reconstruction of the scene is presented which combines deep neural networks an‎d geometric optimization of han‎ds .in the proposed method , two independent neural networks have been developed to extract adaptive features an‎d by using self - affine an‎d multiscale sampling , robust an‎d accurate representations of motion an‎d structure of the environment have been provided .input data , including image sequences with depth information an‎d exact location , an‎d the training process is supervised by AdamW algorithm . using a combination of python , + + c an‎d CUDA , the proposed system allows efficient an‎d online processing of long - term frames with high rate . the efficiency of the proposed method was eva‎luated on EuRoC EuRoC simulation an‎d real data collected by the iphone camera .quantitative results based on ATE an‎d qualitative analysis of reconstructed paths show higher accuracy , higher stability an‎d better generalization ability than reference methods .this research emphasizes that the integration of deep learning by geometric optimization offers an efficient , robust an‎d reliable approach to solve optical flow problems an‎d 3 - d reconstruction an‎d has a high potential for practical applications in robotics , augmented reality an‎d visual navigation .

ناوبري , مكان يابي و نقشه برداري همزمان , مكان يابي بصري , يادگيري عميق

navigation , SLAM , visual navigation , deep learning

mahmoud eskandar

Dr. Seyed Mohammadreza Mousavi mirkolaei - Dr. Sattar Mirzakuchaki