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

This paper surveys the supportive technologies currently available for ground mobile robots
used for autonomous map** in agriculture. Unlike previous reviews, we describe state-of …

Simultaneous Localization and Map** (SLAM) has wide robotic applications such as
autonomous driving and unmanned aerial vehicles. Both computational efficiency and …

LiDAR-based SLAM may easily fail in adverse weathers (eg, rain, snow, smoke, fog), while
mmWave Radar remains unaffected. However, current researches are primarily focused on …

Unmanned Aerial Vehicles have undergone rapid developments in recent decades. This
has made them very popular for various military and civilian applications allowing us to …

In this paper, a three-dimensional light detection and ranging simultaneous localization and
map** (SLAM) method is proposed that is available for tracking and map** with 500 …

Map** and localization is a critical module of autonomous driving, and significant
achievements have been reached in this field. Beyond Global Navigation Satellite System …

Purpose In recent decades, the field of robotic map** has witnessed widespread research
and development in light detection and ranging (LiDAR)-based simultaneous localization …