Autonomous vehicles (AV) are expected to improve, reshape, and revolutionize the future of
ground transportation. It is anticipated that ordinary vehicles will one day be replaced with …

Visual localization and mapping algorithms attempt to estimate, from images, geometrical
models that explain ego motion and the positions of objects in a real scene. The success of …

When adapting Simultaneous Mapping and Localization (SLAM) to real-world applications,
such as autonomous vehicles, drones, and augmented reality devices, its memory footprint …

Visual-inertial SLAM (VINS) stands at the forefront of advancements in computer vision,
robotics, and autonomous driving, revolutionizing the way we perceive and navigate the …

In this paper, we propose a method for estimating the parameters of camera movement from
images obtained from this camera. This method is equally effectively applicable to flat and …

In this paper, we consider a method for estimating camera motion parameters from images
acquired from this camera, which is based on the use of vector coplanarity estimation. It has …

Visual localization and mapping algorithms attempt to estimate, from images, geometrical
models that explain ego motion and the positions of objects in a real scene. The success of …

Amaç: Stereo kamera ve özellik tabanlı görsel odometri yöntemi kullanılarak, otonom araçlar
için görsel girdiden hareket yörüngesini tahmin etme problemi ele alınarak etkili bir …