Autonomous driving vehicles require both a precise localization and mapping solution in
different driving environment. In this context, Simultaneous Localization and Mapping …

The ability of intelligent unmanned platforms to achieve autonomous navigation and
positioning in a large-scale environment has become increasingly demanding, in which …

Autonomous navigation requires both a precise and robust mapping and localization
solution. In this context, Simultaneous Localization and Mapping (SLAM) is a very well …

A crucial component of an autonomous vehicle (AV) is the artificial intelligence (AI) is able to
drive towards a desired destination. Today, there are different paradigms addressing the …

To achieve accurate and robust pose estimation in Simultaneous Localization and Mapping
(SLAM) task, multisensor fusion is proven to be an effective solution and thus provides great …

This paper presents a tightly-coupled multi-sensor fusion algorithm termed LiDAR-inertial-
camera fusion (LIC-Fusion), which efficiently fuses IMU measurements, sparse visual …

After decades of development, LIDAR and visual SLAM technology has relatively matured
and been widely used in the military and civil fields. SLAM technology enables the mobile …

Combining lidar in camera-based simultaneous localization and mapping (SLAM) is an
effective method in improving overall accuracy, especially at outdoor large scale scenes …

In this article, a novel 3-D lidar-assisted monocular visual simultaneous localization and
mapping (LAMV-SLAM) framework is proposed for mobile robots in outdoor environments …

LiDAR (light detection and ranging), as an active sensor, is investigated in the simultaneous
localization and mapping (SLAM) system. Typically, a LiDAR SLAM system consists of front …