Autonomous driving is an active research topic in both academia and industry. However,
most of the existing solutions focus on improving the accuracy by training learnable models …

Monitoring Wildlife in their natural habitat requires direct human intervention. Some animals
are scared of humans. In such situations, camera‐equipped devices are implemented to …

In recent years, the development of ground robots with human-like perception capabilities
has led to the use of multiple sensors, including cameras, lidars, and radars, along with …

Autonomous vehicles (AVs) are expected to communicate with human drivers in
heterogeneous environments. By leveraging the cloud-based capabilities of distributed …

This study designed, developed, and evaluated a deep-learning-based companion robot
prototype for indoor navigation and obstacle avoidance using an RGB-D camera as the sole …

In recent years, there have been significant advances in navigation methods for autonomous
robotic systems, giving rise to a diverse range of navigation techniques. These techniques …

This research addresses the need for improved vision-based techniques in indoor robot
navigation, benefiting fields like self-driving cars and assistive technologies in medical …