FVO: floor vision aided odometry

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Floor-Map-Aided WiFi/Pseudo-Odometry Integration Algorithm for an Indoor Positioning System

This paper proposes a scheme for indoor positioning by fusing floor map, WiFi and smartphone sensor data to provide meter-level positioning without additional infrastructure. A topology-constrained K nearest neighbor (KNN) algorithm based on a floor map layout provides the coordinates required to integrate WiFi data with pseudo-odometry (P-O) measurements simulated using a pedestrian dead recko...

متن کامل

Visual-LiDAR Odometry Aided by Reduced IMU

Abstract: This paper proposes a method for combining stereo visual odometry, Light Detection And Ranging (LiDAR) odometry and reduced Inertial Measurement Unit (IMU) including two horizontal accelerometers and one vertical gyro. The proposed method starts with stereo visual odometry to estimate six Degree of Freedom (DoF) ego motion to register the point clouds from previous epoch to the curren...

متن کامل

Integrating Monocular Vision and Odometry for SLAM

This paper presents an approach to Simultaneous Localization and Mapping (SLAM) based on monocular vision. Standard multiple-view vision techniques are used to estimate robot motion and scene structure, which are then integrated with minimal odometric information and used to build a global environment map. Preliminary experimental results are also presented and discussed. Key-Words: Robot local...

متن کامل

Robot Odometry Correction Using Grid Lines on the Floor

This paper presents an algorithm to correct the odometry error of an autonomous mobile robot only by using a painted grid on the floor. The supposed robot position is calculated by odometry and is matched with the grid lines, whose existence is known to the robot. A new “position probability function” was developed and used by the correction algorithm. The correction of the odometry error is al...

متن کامل

Vision-Enhanced Lidar Odometry and Mapping

Vision-Enhanced Lidar Odometry and Mapping (VELO) is a new algorithm for simultaneous localization and mapping using a set of cameras and a lidar. By tightly coupling sparse visual odometry and lidar scanmatching, VELO is able to achieve reduced dri error compared to using either one or the other method. Moreover, the algorithm is capable of functioningwhen either the lidar or the camera is bli...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Science China Information Sciences

سال: 2018

ISSN: 1674-733X,1869-1919

DOI: 10.1007/s11432-017-9306-x