Luis C. Carrillo-Arce

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In this paper, we present a Covariance Intersection (CI)-based algorithm for reducing the processing and communication complexity of multi-robot Cooperative Localization (CL). Specifically, for a team of N robots, our proposed approximate CI-based CL approach has processing and communication complexity only linear, O(N), in the number of robots. Moreover,(More)
In this paper, we consider the problem of autonomous exploration of unknown environments with single and multiple robots. This is a challenging task, with several potential applications. We propose a simple yet effective approach that combines a behavior-based navigation with an efficient data structure to store previously visited regions. This allows(More)
This paper addresses the problem of autonomous quadrotor navigation through a previously-mapped indoor area. In particular, we focus on the case where a user walks through a building and collects images. Subsequently, a visual map of the area, represented as a graph of linked images, is constructed and used for automatically determining visual paths (i.e.,(More)
In this paper, we present a novel resource-allocation problem formulation for vision-aided inertial navigation systems (VINS) for efficiently localizing micro aerial vehicles equipped with two cameras pointing at different directions. Specifically, based on the quadrotor’s current speed and median distances to the features, the proposed algorithm(More)
Pose estimation is one of the most fundamental tasks in unmanned vehicles because many high level tasks depend directly on the vehicle localization. In this paper, an embedded pose estimation module based on the extended Kalman filter (EKF) is implemented in an autonomous vehicle with Network Controlled System (NCS) architecture. The implemented EKF fuses(More)
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