In recent years, unmanned aerial vehicles (UAVs) have been confirmed as a powerful tool
for countless applications in nearly every industry, in which collision avoidance plays a vital …

Autonomous navigation in unstructured vegetated environments remains an open
challenge. To successfully operate in these settings, autonomous ground vehicles (AGVs) …

High-precision positioning and navigation are necessary for autonomous driving. GNSS
RTK and INS integrated system is commonly used in vehicular navigation. But it suffers from …

Having good knowledge of terrain information is essential for improving the performance of
various downstream tasks on complex terrains, especially for the locomotion and navigation …

A 3D occupancy map that is accurately modeled after real-world environments is essential
for reliably performing robotic tasks. Probabilistic volumetric mapping (PVM) is a well-known …

Autonomous navigation in unstructured vegetated environments remains an open
challenge. To successfully operate in these settings, ground vehicles must assess the …

Autonomous navigation in dense vegetation remains an open challenge and is an area of
major interest for the research community. In this paper we propose a novel traversability …

Visibility is a crucial aspect of planning and control of autonomous vehicles (AV), particularly
when navigating environments with occlusions. However, when an AV follows a trajectory …

Occupancy sensing is one of the integral parts of modern evolving security surveillance and
monitoring systems used over different types of infrastructure. With multiple forms of …

This paper presents a 6-DoF range-based Monte Carlo localization method with a GPU-
accelerated Stein particle filter. To update a massive amount of particles, we propose a …