Point clouds are increasingly being used to improve productivity, quality, and safety
throughout the life cycle of construction and infrastructure projects. While applicable for …

Place recognition in 3D data is a challenging task that has been commonly approached by
adapting image-based solutions. Methods based on local features suffer from ambiguity and …

Highly dynamic environments, with moving objects such as cars or humans, can pose a
performance challenge for LiDAR SLAM systems that assume largely static scenes. To …

Mobile robots that navigate in unknown environments need to be constantly aware of the
dynamic objects in their surroundings for map**, localization, and planning. It is key to …

Today's research on Quality of Experience (QoE) mainly addresses multimedia services.
With the introduction of the Internet of Things (IoT), there is a need for new ways of …

Long-term 3D map management is a fundamental capability required by a robot to reliably
navigate in the non-stationary real-world. This paper develops open-source, modular, and …

A high-definition (HD) map is becoming an integral component of future mobility systems
such as autonomous and connected vehicles. Advances in computing systems, LiDAR …

Convergence and rockmass failure are significant hazards to personnel and physical assets
in underground tunnels, caverns, and mines. Mobile Laser Scanning Systems (MLS) can …

We present LiSTA (LiDAR Spatio-Temporal Analysis), a system to detect probabilistic object-
level change over time using multi-mission SLAM. Many applications require such a system …

Abstract A High-Definition (HD) map is an essential component not only for autonomous
vehicles but also for surveyors in favor of city management. Moreover, the HD map must be …