5 accepted papers
Decentralized cooperative localization poses significant challenges in managing inter-robot correlations, especially in environments with limited communication capacity and unreliable network connectivity. In this letter, we propose a communication-efficient decentralized consistent cooperative loca
This letter investigates the inconsistency problem caused by the mismatch of observability properties commonly found in multi-robot cooperative localization (CL) and simultaneous localization and mapping (SLAM). To address this issue, we propose a transformation-based approach that introduces a line
In the realm of household robotics, the Zero-Shot Object Navigation (ZSON) task empowers agents to adeptly traverse unfamiliar environments and locate objects from novel categories without prior explicit training. This paper introduces VoroNav, a novel semantic exploration framework that proposes th…
In this article, we propose a simulated crowd counting dataset CrowdX, which has a large scale, accurate labeling, parameterized realization, and high fidelity. The experimental results of using this dataset as data enhancement show that the performance of the proposed streamlined and efficient benc…
In the field of crowd counting, the current mainstream CNNbased regression methods simply extract the density information of pedestrians without finding the position of each person. This makes the output of the network often found to contain incorrect responses, which may erroneously estimate the to…