5 accepted papers
Causal agents have emerged as promising tools for automating causal analysis based on user queries. However, existing causal agent systems are often limited to a single causal task, limiting their ability to handle complex queries. In addition, they accept only numerical data as input, preventing th
We propose a method to extend foundational monocular depth estimators (FMDEs), trained on perspective images, to fisheye images. Despite being trained on tens of millions of images, FMDEs are susceptible to the covariate shift introduced by changes in camera calibration (intrinsic, distortion) param…
Although 3D perception for autonomous vehicles has focused on frontal-view information, more than half of fatal accidents occur due to side impacts in practice (e.g., T-bone crash). Motivated by this fact, we investigate the problem of side-view depth estimation, especially for monocular fisheye cam…
Most range-only simultaneous localization and mapping (RO-SLAM) algorithms have considered direct measurements between robot and its neighbor nodes only, even though other inter-node measurements can be actively used to improve the performance. In addition, most of them assume nodes are static, i.e.…
In the received signal strength (RSS) based localization, a model-based calibration approach has been usually done by relating RSS-to-distance among anchor nodes. In this paper, an improved calibration method is proposed. For that purpose, RSS and estimated distance between any pairs of an-chor/unkn…