6 accepted papers
Continual test-time adaptation (CTTA) seeks to adapt a source-pretrained model to continuously shifting target distributions. Recent advances in this field either minimize prediction entropy on streaming target samples, which is efficient but prone to error accumulation, or rely on teacher–student p
The semi-supervised medical image segmentation with a few annotated data can provide significant help in robot-assisted surgery. This step plays a pivotal role in identification of pathological regions, more appropriate planning of surgical procedures, and so on. In this work, we develop an evidence
In this letter, we study the problem of using mobile robots as relay nodes to keep moving clients and a fixed base station connected. Some applications, such as exploration and rescue, require this problem to be solved. However, existing methods are computationally time-consuming and insufficient to
Gradient-based trajectory optimization (GTO) has gained wide popularity for quadrotor trajectory replanning. However, it suffers from local minima, which is not only fatal to safety but also unfavorable for smooth navigation. In this paper, we propose a replanning method based on GTO addressing this…
Drones are enabling new forms of cinematography. Aerial filming via drones in action scenes is difficult because it requires users to understand the dynamic scenarios and operate the drone and camera simultaneously. Existing systems allow the user to manually specify the shots and guide the drone to…
In this paper, we present a framework to do optimal time allocation for quadrotor trajectory generation. Using this method, we can generate minimum-time piecewise polynomial trajectories for quadrotor flights. We decouple the quadrotor trajectory generation problem into two folds. Firstly we generat…