[PDF] Top 20 Monocular Vision Navigation Sensor for Autonomous Aerial Refueling

... Aerial refueling, defined as the operation of in-flight fuel transmission from the tanker aircraft to the receiver aircraft, provides an effective solution to expand the limited flying distance of the ... See full document

... a monocular visual-inertial system (VINS) that consists of only an IMU and a ...agile autonomous MAVs in confined envi- ronments, the platforms we use typically have very tight constrains on size, weight, ... See full document

... Unmanned Aerial Vehicle (UAV) ...methods: Sensor-based and vision-based (Zeng et al., 2016). Sensor-based techniques require sensor data for obstacle ... See full document

... on-board autonomous UAV ...fully autonomous flight from take-o ff to ...altitude sensor, and a monocular CCD video camera mounted on a pan/tilt ...etc.), sensor data acquisition, and the ... See full document

... Continuous and reliable tracking of a person is difficult job for a surveillance robot in the dynamic indoor and outdoor environment, having uncontrollable lighting conditions. As There are many existing methods which is ... See full document

... Indoor navigation of micro aerial vehicle (MAV) is still a challenging task due to blocked GPS signal in cluttered indoor ...for autonomous navigation of MAV. Several vision-based ... See full document

... approached, the fractional contribution of fatty acid oxidation to ATP production declines whereas that of carbohydrate oxidation increases (Brooks, 1998; Weber and Haman, 2004). As animals approach V . O2max during ... See full document

... Indoor navigation of micro aerial vehicle (MAV) is still a challenging task due to blocked GPS signal in cluttered indoor ...for autonomous navigation of MAV. Several vision-based ... See full document

... visual navigation, several reactive and deliberative navigation approaches have been proposed such as in structured environments using white line recognition [7], in corridor navigation using ... See full document

... only sensor for guiding the vehicle autonomously is found to be incapable up to this point of ...GPS sensor with higher frequency of update rate or magnetic ... See full document

... The difference between deep learning and machine learning is that deep learning place emphasis on the subset of machine learning resources and method and uses them to solve any difficulties that need ”thought” whether ... See full document

... fully autonomous robot system, this paper analysed the key factors in the design of a vision- based sensor system to classify surfaces as clean or ... See full document

... which mostly stabilizes the camera movement, thus creating a smooth movement in ground features. Then, they calculate a normalized homography of the ground plane using RANSAC. A homography is a matrix which describes the ... See full document

... The company PrimeSense developed a sensor using structured light, which has become the basis for Microsoft Kinect and Asus Xtion sensors. Their primary role is human gesture recognition. Because of their low cost ... See full document

... a sensor-actuator input-output error, while a behavioral metric would measure the expression of desired ...of autonomous systems, a fitness function that leans toward the behavioral, implicit, internal ... See full document

... many autonomous robots built on mobile platforms, which require a new level of control ...of autonomous systems have one problem in common, which is ...the navigation problem becomes more ... See full document

... as navigation, medical imaging, and ...of navigation and localisation [1–4]; especially, stereo visual odometry which enables recover of 3D feature information via ...a navigation system, with the ... See full document

... of autonomous mobile robot ...an autonomous mobile robot at an unfamiliar location in an unknown environment, and then have it figure a map, using only relative observation of the environment, and then to ... See full document

... automatic navigation system is a key part of the smart tractor [2] for implementing precision agriculture which can free drivers from the boring work as well as improve the work ...automatic navigation of ... See full document

... realizing agricultural vehicle autonomous guidance, there are enough research achievements to promote its development. Robots find applications in the so-called “4D tasks,” tasks that are dangerous, dull, dirty, ... See full document