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In this paper we present the development of a multi-rotor system for autonomous outdoor flights in an unknown environment. We propose a modular framework scheme to perform the functions of guidance, navigation and control using the sensor measurements. The localization and mapping tasks are performed simultaneously by the guidance module through an Extended Kalman Filter (EKF). The estimated map allows...
This paper discusses the preliminary design and implementation of a simultaneous navigation, and mapping method for operation of multi-copter unmanned aircraft systems (UAS) in forest environments under the canopy. A data collection platform has been developed using a 3DR hexacopter platform equipped with laser scanners, cameras, GNSS and inertial sensors to observe the environment and used as an...
In this work a pedestrian dead reckoning (PDR) algorithm is proposed in which 3-axis inertial sensors (accelerometer and gyroscope) are used. This work consists of the first stage of a project, in which inertial sensors will be integrated with a global position system (GPS) sensor and a camera in a hand-held platform which performs monocular simultaneous localization and mapping (mono SLAM). The PDR...
This paper describes a novel probabilistic approach to incorporating odometric information into appearance-based SLAM systems, without performing metric map construction or calculating relative feature geometry. The proposed system, dubbed Continuous Appearance-based Trajectory SLAM (CAT-SLAM), represents location as a probability distribution along a trajectory, and represents appearance continuously...
In this work, we address the problem of aligning two video sequences. Such alignment refers to synchronization, i.e., the establishment of temporal correspondence between frames of the first and second video, followed by spatial registration of all the temporally corresponding frames. Video synchronization and alignment have been attempted before, but most often in the relatively simple cases of fixed...
This paper presents a simultaneous localisation and mapping (SLAM) algorithm implemented on an autonomous sea kayak with a commercial off-the-shelf X-band marine radar mounted. The Autonomous Surface Craft (ASC) was driven in an off-shore test site in Singapore's southern Selat Puah marine environment. Data from the radar, GPS and an inexpensive single-axis gyro data were logged by an on-board processing...
This paper presents an approach to perform Simultaneous Localization and Mapping (SLAM) in underwater environments using a Mechanically Scanned Imaging Sonar (MSIS) not relying on the existence of features in the environment. The proposal has to deal with the particularities of the MSIS in order to obtain range scans while correcting the motion induced distortions. The SLAM algorithm manages the relative...
This paper describes an approach to achieving high resolution, repeated benthic surveying using an Autonomous Underwater Vehicle (AUV). A stereo based Simultaneous Localisation and Mapping (SLAM) technique is used to estimate the trajectory of the vehicle during multiple overlapping grid based surveys. The vehicle begins each dive on the surface and uses GPS to navigate to a designated start location...
In this paper we propose an approach to SLAM suitable for bathymetric mapping by an autonomous underwater vehicle (AUV). AUVs typically do not have access to GPS while underway and the survey areas of interest are unlikely to contain features that can easily be identified and tracked using bathymetric sonar. We demonstrate how the uncertainty in the vehicle state can be modeled using a particle filter...
The aim of this paper is to show the potential of the microwave radar as a sensor dedicated to outdoor perception. A new radar sensor named K2PI, based on the principle of Frequency-Modulated Continuous Wave (FM-CW) is presented here. An application in simultaneous localization and mapping using scan matching of radar images (R-SLAM algorithm) has been developed and first results in different environments...
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