Representations and Benchmarking of Modern Visual SLAM Systems

The Internet of things technology in the rehabilitation for the disabled in China: A survey

According to the WORLD Disabled Persons federation (WPF), there are a large number of disabled people in the world, accounting for over 400 million in the Asia-Pacific region alone. This paper discusses the application of the Internet of Things technology in the rehabilitation of special populations, aiming at achieving high allocation of resources without changing personnel allocation, realizing innovation to improve economic benefits without changing personnel allocation, and rationally optimizing resource allocation to achieve maximum. Firstly, we give an overview of the Internet of Things technology and its application, and introduce the sensor, RFID, embedded system and other technologies. Then, we discuss the application of Internet of Things technology in the rehabilitation of disabled people, from the rehabilitation needs of disabled people and the application of Internet of Things technology in the field of rehabilitation. Then, from the statistical analysis of the application of Internet of Things technology in the rehabilitation field in the past 10 years, we obtained the shortcomings of the application of Internet of Things technology in the rehabilitation field and some space for further exploration. Finally, we believe that the application of Internet of Things technology to the rehabilitation management of persons with disabilities will be a breakthrough in the rehabilitation management of persons with disabilities, and have important reference value for the rehabilitation management of persons with disabilities worldwide. We also hope that understanding, respecting, caring and helping people with disabilities will increasingly become a global consensus and action.

A Comprehensive Survey of Visual SLAM Algorithms

Simultaneous localization and mapping (SLAM) techniques are widely researched, since they allow the simultaneous creation of a map and the sensors’ pose estimation in an unknown environment. Visual-based SLAM techniques play a significant role in this field, as they are based on a low-cost and small sensor system, which guarantees those advantages compared to other sensor-based SLAM techniques. The literature presents different approaches and methods to implement visual-based SLAM systems. Among this variety of publications, a beginner in this domain may find problems with identifying and analyzing the main algorithms and selecting the most appropriate one according to his or her project constraints. Therefore, we present the three main visual-based SLAM approaches (visual-only, visual-inertial, and RGB-D SLAM), providing a review of the main algorithms of each approach through diagrams and flowcharts, and highlighting the main advantages and disadvantages of each technique. Furthermore, we propose six criteria that ease the SLAM algorithm’s analysis and consider both the software and hardware levels. In addition, we present some major issues and future directions on visual-SLAM field, and provide a general overview of some of the existing benchmark datasets. This work aims to be the first step for those initiating a SLAM project to have a good perspective of SLAM techniques’ main elements and characteristics.