Robot autonomous navigation has become a vital area in the industrial development of
minimizing labor-intensive tasks. Most of the recently developed robot navigation systems …

This work addresses the challenging task of LiDAR-based 3D object detection in foggy
weather. Collecting and annotating data in such a scenario is very time, labor and cost …

The integration of advanced sensor technologies has significantly propelled the dynamic
development of robotics, thus inaugurating a new era in automation and artificial …

Tracking pedestrian flow in large public areas is vital, yet ensuring privacy is paramount.
Traditional visual-based tracking systems are raising concerns for potentially obtaining …

The use of people recognition techniques has become critical in some areas. For instance,
social or assistive robots carry out collaborative tasks in the robotics field. A robot must know …

The growing demand for intelligent environments unleashes an extraordinary cycle of
privacy-aware applications that makes individuals' life more comfortable and safe. Examples …

Autonomous robot navigation has become a crucial concept in industrial development for
minimizing manual tasks. Most of the existing robot navigation systems are based on the …

Monitoring critical infrastructure is of great importance for resilience against current and
emerging hazards. In Canada, at the national level, critical infrastructure is strategically …

With the advancement of deep neural networks and computer vision-based Human Activity
Recognition, employment of Point-Cloud Data technologies (LiDAR, mmWave) has seen a …

This article presents an online light detection and ranging (LiDAR)-only person-following
(LoPF) framework, which can be applied in both indoor and outdoor environments with only …