Depth information is important for autonomous systems to perceive environments and
estimate their own state. Traditional depth estimation methods, like structure from motion …

In current decades, significant advancements in robotics engineering and autonomous
vehicles have improved the requirement for precise depth measurements. Depth estimation …

Condition monitoring is used to track the unavoidable phases of rolling element bearings in
an induction motor (IM) to ensure reliable operation in domestic and industrial machinery …

The development of autonomous vehicles has prompted an interest in exploring various
techniques in navigation. One such technique is simultaneous localization and mapping …

Autonomous systems possess the features of inferring their own state, understanding their
surroundings, and performing autonomous navigation. With the applications of learning …

A vehicular Ad-Hoc Network (VANET) is a type of Mobile Ad-Hoc Networks (MANETs) that
uses wireless routers inside each vehicle to act as a node. The need for effective solutions to …

With the development of multi-beam Light Detection and Ranging (LiDAR) sensors, fast and
accurate LiDAR-based localization has become a crucial issue in robotics and autonomous …

Pure monocular 3D reconstruction is a complex problem that has attracted the research
community's interest due to the affordability and availability of RGB sensors. SLAM, VO, and …

The training effect of the neural network model is directly influenced by optimization
algorithms. The Barzilai-Borwein (BB) method is used in the stochastic gradient descent …

Unsupervised visual odometry as an active topic has attracted extensive attention, benefiting
from its label-free practical value and robustness in real-world scenarios. However, the …