![]() Martinez Luna, Carol ![]() in Journal of Intelligent and Robotic Systems (2011), 61(1), 301--320 Detailed reference viewed: 44 (1 UL)![]() Martinez Luna, Carol ![]() in 2011 International Conference on Digital Image Computing: Techniques and Applications (2011) Detailed reference viewed: 65 (1 UL)![]() Martinez Luna, Carol ![]() in 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (2009) Detailed reference viewed: 66 (1 UL)![]() ; ; et al in UAV'08 International Symposium On Unmanned Aerial Vehicles (2008, June) Computer vision is much more than a technique to sense and recover environmental information from an UAV. It should play a main role regarding UAVs’ functionality because of the big amount of information ... [more ▼] Computer vision is much more than a technique to sense and recover environmental information from an UAV. It should play a main role regarding UAVs’ functionality because of the big amount of information that can be extracted, its possible uses and applications, and its natural connection to human driven tasks, taking into account that vision is our main interface to world understanding. Our current research’s focus lays on the development of techniques that allow UAVs to maneuver in spaces using visual information as their main input source. This task involves the creation of techniques that allow an UAV to maneuver towards features of interest whenever a GPS signal is not reliable or suffi cient, e.g. when signal dropouts occur (which usually happens in urban areas, when flying through terrestrial urban canyons or when operating on remote planetary bodies), or when tracking or inspecting visual targets—including moving ones—without knowing their exact UMT coordinates. This paper also investigates visual servoing control techniques that use velocity and position of suitable image features to compute the references for flight control. This paper aims to give a global view of the main aspects related to the research field of computer vision for UAVs, clustered in four main active research lines: visual servoing and control, stereo-based visual navigation, image processing algorithms for detection and tracking, and visual SLAM. Finally, the results of applying these techniques in several applications are presented and discussed: this study will encompass power line inspection, mobile target tracking, stereo distance estimation, mapping and positioning. [less ▲] Detailed reference viewed: 64 (2 UL)![]() Olivares Mendez, Miguel Angel ![]() ![]() in Ruan, D (Ed.) COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL (2008) This paper presents an improvement for the software implementation (MOFS) of a user adaptive fuzzy control system for autonomous navigation of mobile robots in unknown environments. This improvement ... [more ▼] This paper presents an improvement for the software implementation (MOFS) of a user adaptive fuzzy control system for autonomous navigation of mobile robots in unknown environments. This improvement consists of a priority areas definition where the environment is measured by a PLS laser sensor, in order to get a reduction in the number of fuzzy rules and also in the computational cost, and hence obtaining improvements in the trajectory. This system has been tested in a pioneer mobile robot and on a robotic wheelchair, odometry sensors are used to localize the robots and the goal positions. The system is able to drive the robots to their goal position avoiding static and dynamic obstacles, without using any pre-built map. This approach improves the way to measure the danger of the obstacles, the way to follow the walls of corridors and the detection of doors. These improvements reduce the zigzag effect of the previous system by making the trajectories significantly straighter and hence reducing the time to reach the goal position. [less ▲] Detailed reference viewed: 144 (5 UL) |
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