In feature-based simultaneous localization and mapping (SLAM), line features complement
the sparsity of point features, making it possible to map the surrounding environment …

This letter presents benchmark tests of various visual (-inertial) odometry algorithms on
NVIDIA Jetson platforms. The compared algorithms include mono and stereo, covering …

This paper presents an efficient method for securing navigation performance by suppressing
divergence risk of LiDAR SLAM through a newly proposed geometric observability analysis …

For many years, there has been an impressive progress on visual odometry applied to
mobile robots and drones. However, the visual perception is still in the spotlight as a …

Line features in artificial scenes encode geometric information, such as parallelism and
orthogonality that can provide excellent observational landmarks for localization and …

Recovering rigid registration between successive camera poses lies at the heart of 3D
reconstruction, SLAM and visual odometry. Registration relies on the ability to compute …

This study proposes a novel method for estimating the axial velocity of unmanned aerial
vehicles (UAVs) using motion blur images captured in environments where GPS signals are …

In this paper, we propose a novel localization and map update method for indoor using the
LIDAR sensor and floorplan. Existing indoor localization algorithms need a previously …

This study deals with the problem of visual loop closure detection that occurs when there are
limited camera field of views. The proposed method generates a panoramic image using …

Among the main requirements of modern surveillance systems are stability in the face of
negative influences and intellectualization. The purpose of intellectualization is that the …