Vision-based localization techniques and detection technologies are key algorithms for the navigation of unmanned vehicles. Especially in scenarios where GPS signals missing, Simultaneous Localization Mapping (SLAM) that rely on vision, inertial system (INS) other sensors have important applications. Among them, vision combined with IMU SLAM has advantage realistic scale, which is lacking monoc...

Siamese network-based trackers have developed rapidly in the field of visual object tracking recently. Many currently use rely on result fusion to combine classification map and regression map. However, these maps are obtained from multi-level feature independent each other. It is inappropriate flawed fusion. Additionally, module other, which leads misalignment. In this paper, we propose a feat...

It is now generally recognized that sensor-fusion is the best approach to the accurate construction of environmentmaps by a sensor-equippedmobile robot. Typically, range data collectedwith a range sensor is combined with the reflectance data obtained from one or more cameras mounted on the robot. In much of the past work on sensor fusion in hierarchical approaches to map construction, the fusio...

This paper presents a novel framework for the fusion of multi-focus images explicitly designed for visual sensor network (VSN) environments. Multi-scale based fusion methods can often obtain fused images with good visual effect. However, because of the defects of the fusion rules, it is almost impossible to completely avoid the loss of useful information in the thus obtained fused images. The p...

In this paper, a study on multi-focus image fusion methods having the ability to conquer the problems in transform domain method and to avoid the disabilities occurring in spatial domain method has been introduced. To gain an image with high quality and with all spectral and spatial information, it is important to recover the images from various multi-sensor images. Image fusions are mainly cla...

Navigation in a GPS-denied environment is an essential requirement for increased robotics autonomy. While this is in some sense solved for a single robot, the next challenge is to design algorithms for a team of robots to be able to map and navigate efficiently. The key requirement for achieving this team autonomy is to provide the robots with a collaborative ability to accurately map an enviro...