As one of the key enabling technologies for automated driving, High Definition (HD) Maps
have become a major research focus in recent years. While increasing research effort has …

Autonomous underwater vehicle (AUV) navigation and localization in underwater
environments is particularly challenging due to the rapid attenuation of Global Positioning …

Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …

Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …

In this paper, we present a novel benchmark for the evaluation of RGB-D SLAM systems. We
recorded a large set of image sequences from a Microsoft Kinect with highly accurate and …

The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing
progress over the last few decades and has generated considerable interest in the …

Many popular problems in robotics and computer vision including various types of
simultaneous localization and mapping (SLAM) or bundle adjustment (BA) can be phrased …

Many important geometric estimation problems naturally take the form of synchronization
over the special Euclidean group: estimate the values of a set of unknown group elements x …

Robots that can move autonomously and can make intelligent decisions by perceiving their
environments and surrounding objects are known as autonomous mobile robots. Such …

Being able to build a map of the environment and to simultaneously localize within this map
is an essential skill for mobile robots navigating in unknown environments in absence of …