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

Accurate monocular metric depth estimation (MMDE) is crucial to solving downstream tasks
in 3D perception and modeling. However the remarkable accuracy of recent MMDE methods …

Monocular depth estimation is scale-ambiguous, and thus requires scale supervision to
produce metric predictions. Even so, the resulting models will be geometry-specific, with …

Depth estimation from monocular images is pivotal for real-world visual perception systems.
While current learning-based depth estimation models train and test on meticulously curated …

Despite significant advancements in monocular depth estimation for static images,
estimating video depth in the open world remains challenging, since open-world videos are …

Monocular scene understanding is a foundational component of autonomous systems.
Within the spectrum of monocular perception topics, one crucial and useful task for holistic …

Autonomous vehicle refers to a vehicle capable of perceiving its surrounding environment
and driving with little or no human driver input. The perception system is a fundamental …

The robot path identification towards a specific destination is an important problem for robot
movement applications such as logistics, warehousing, and inventorying systems. The …

Event cameras, offering high temporal resolutions and high dynamic ranges, have brought a
new perspective to address common challenges in monocular depth estimation (eg, motion …

Insect-computer hybrid robots are receiving increasing attention as a potential alternative to
small artificial robots due to their superior locomotion capabilities and low manufacturing …