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Mobile robot navigation using deep reinforcement learning
Learning how to navigate autonomously in an unknown indoor environment without
colliding with static and dynamic obstacles is important for mobile robots. The conventional …
colliding with static and dynamic obstacles is important for mobile robots. The conventional …
A comparison of line extraction algorithms using 2D range data for indoor mobile robotics
This paper presents an experimental evaluation of different line extraction algorithms
applied to 2D laser scans for indoor environments. Six popular algorithms in mobile robotics …
applied to 2D laser scans for indoor environments. Six popular algorithms in mobile robotics …
A quantitative study of tuning ROS gmap** parameters and their effect on performing indoor 2D SLAM
Simultaneous localization and map** (SLAM) complexity reduction is a fast progressing
research area. Its attraction is owed to the potential commercial benefits of develo** low …
research area. Its attraction is owed to the potential commercial benefits of develo** low …
Simultaneous localization and map** survey based on filtering techniques
Simultaneous Localization and Map** (SLAM) problem has been an active area of
research in robotics for more than two decades. This paper reviews SLAM based on different …
research in robotics for more than two decades. This paper reviews SLAM based on different …
A line feature based SLAM with low grade range sensors using geometric constraints and active exploration for mobile robot
This paper describes a geometrically constrained Extended Kalman Filter (EKF) framework
for a line feature based SLAM, which is applicable to a rectangular indoor environment. Its …
for a line feature based SLAM, which is applicable to a rectangular indoor environment. Its …
Globally optimal pose estimation from line correspondences
Correspondences between 2D lines in an image and 3D lines in the surrounding
environment can be exploited to determine the camera's position and attitude (pose). In this …
environment can be exploited to determine the camera's position and attitude (pose). In this …
Dense planar-inertial slam with structural constraints
In this work, we develop a novel dense planar-inertial SLAM (DPI-SLAM) system to
reconstruct dense 3D models of large indoor environments using a hand-held RGB-D …
reconstruct dense 3D models of large indoor environments using a hand-held RGB-D …
Development of kinematic 3D laser scanning system for indoor map** and as-built BIM using constrained SLAM
The growing interest and use of indoor map** is driving a demand for improved data-
acquisition facility, efficiency and productivity in the era of the Building Information Model …
acquisition facility, efficiency and productivity in the era of the Building Information Model …
A laser-aided inertial navigation system (l-ins) for human localization in unknown indoor environments
This paper presents a novel 3D indoor Laser-aided Inertial Navigation System (L-INS) for
the visually impaired. An Extended Kalman Filter (EKF) fuses information from an Inertial …
the visually impaired. An Extended Kalman Filter (EKF) fuses information from an Inertial …
Recent advances on simultaneous localization and map** for mobile robots
This paper gives recent advances made in simultaneous localization and map** (SLAM)
in the last decade. It summarizes the main contributions, insights, limitations, and solutions …
in the last decade. It summarizes the main contributions, insights, limitations, and solutions …