3 accepted papers
Visual localization is crucial for autonomous unmanned aerial vehicles (UAVs), especially during aggressive rotational maneuvers. Existing methods-whether handcrafted-based or learning-based-often suffer from limited rotation robustness or high computational costs, hindering their use in real-time a
This paper addresses the consistency issue of multi-robot distributed cooperative localization. We introduce a consistent distributed cooperative localization algorithm conducting state estimation in a transformed coordinate. The core idea involves a linear time-varying coordinated transformation to…
Efficient interest point detection and description in images play a crucial role in many tasks such as multi-robot SLAM and collaborative localization. To facilitate fast detection and generate compact descriptions on edge devices, we introduce EdgePoint, a lightweight neural network. We design a ne…