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Both safety and non-safety applications of vehicular networks rely on accurate position information. However, accurate localization of a vehicle in a global navigation satellite system (GNSS) denied environment is a challenging and still open research problem. The 802.11p dedicated short-range communication systems (DSRC), designed for vehicle-to-vehicle and vehicle-to-infrastructure communications,...
We present an algorithmic framework for the early classification of human intentions, and use it to accurately predict future human motions when planning the path of a robot in an environment that is shared with humans. During an off-line learning phase, a classifier that can recognize when a human intends to interact with the robot is trained. At runtime, this trained classifier allows us to recognize...
The demand for flexible industrial robotic solutions that are able to accomplish tasks at different locations in a factory is growing more and more. When deploying mobile robots in a factory environment, the predictability and reproducibility of their behaviors become important and are often requested. In this paper, we propose an easy-to-use motion planning scheme that can take into account user...
This paper presents a novel Local-Path Planning approach for an independent four-wheel steering (I4WS) mobile base. The approach smoothly drives and rotates the platform while still following a given path and avoiding obstacles. I4WS vehicles are omnidirectional vehicles, similar to shopping carts, if one neglects the time needed to steer the wheels. However, due to the danger of mechanical parts...
This work focuses on how to compute trajectories for an autonomous wheelchair based on indoor GIS maps, in particular on IndoorGML maps, which set the standard in this context. Good wheelchair trajectories are safe and comfortable for the user and the people sharing the space with him, turn gently, are high legible, and smooth (at least G2 continuos). We derive a navigation graph from a given IndoorGML...
In this work, we consider the labeled multi-robot planning problem. In this paradigm, a team of robots at fixed start positions must navigate to pre-specified and noninterchangable goal positions. While many algorithms have been proposed for finding optimal solutions to this problem, most methods assume that the robots are kinematic agents, whereas in reality, robots often have high-order dynamics...
In dynamic environments crowded with people, robot motion planning becomes difficult due to the complex and tightly-coupled interactions between agents. Trajectory planning methods, supported by models of typical human behavior and personal space, often produce reasonable behavior. However, they do not account for the future closed-loop interactions of other agents with the trajectory being constructed...
This paper reports on a data-driven motion planning approach for interaction-aware, socially-compliant robot navigation among human agents. Autonomous mobile robots navigating in workspaces shared with human agents require motion planning techniques providing seamless integration and smooth navigation in such. Smooth integration in mixed scenarios calls for two abilities of the robot: predicting actions...
A common objective in mobile robotics is to find an optimal trajectory to reach a final destination from a starting point location. Obstacles are likely to be encountered in the robot's trajectory that need to be avoided. In this article, a path planning approach for mobile robots that uses the algorithms of potential field in conjunction with Local Minimal Avoidance (LMA) is presented in order to...
We present a novel visual-magneto-inertial system for pedestrian indoor navigation. It includes magnetic, inertial and depth sensors integrated into a device that can be hand held by a pedestrian. Our method builds upon a magneto-inertial tachymeter that is able to accurately reconstruct body speed in presence of magnetic gradient and a depth registration algorithm for computing inter-image movement...
In the process of dead reckoning (DR) for underwater carrier, the scale factor error of DVL and heading error measured by compass are coupled and difficult to be separated. Aiming at solving this problem, an on-line calibration method is put forward for the scale factor error of DVL based on a circular track on the foundation of obtaining the location information from Long Base Line (LBL). This method...
Route mining for busy waterways is a challenging task. Complicated shipping routes may be generated due to vessels of different types congesting in a narrow water way, frequently changing navigational direction and weaving through multiple crossing traffic. The traditional way using visual bearing and ship-stationed techniques may mitigate hazards of ship collision but lack macroscopic information...
Under GPS-denied conditions, an inertial navigation diverges easily due to integration drift in the measurement of acceleration and angular velocity. Therefore, a terrain relative navigation (TRN) is applied to correct the drift error for precise lunar landing mission. Diverse sensors are used for the TRN in these days, such as a Light and Detection and Ranging (LIDAR), laser altimeter, and optical...
This paper proposes a motion planning method for an autonomous vehicle in an urban environment. The proposed method generates trajectories using the closed-loop forward simulation (CLFS), which can consider various properties of an autonomous vehicle. The safeties of the generated trajectories are evaluated using an occupancy grid map. Using the proposed method, smooth and safe trajectories can be...
An engagement dynamic model is set up for the miniature missile guidance solution under the constraints of field-of-view angle and terminal impact angle. The impact-angle constraint guidance law design is converted into an optimal control problem subjected to terminal constraints. Then a look angle guidance solution without line-of-sight rate is detailed to satisfy the requirement on field-of-view...
We present a partial observable, non-linear solution for AUV aided navigation, referred as the Reverse Bearing Only Target Motion Analysis (Reverse BO-TMA). Reverse BO-TMA utilizes information about the course and speed of a passing vessel to provide a passive method for self localization of an Autonomous Underwater Vehicle (AUV). In Reverse BO-TMA, the AUV relies on radiated noise from the vessel...
This paper describes a novel navigation and guidance (NG) system designed to address the issue of receiving unreliable navigational data considering an unmanned surface vehicles (USVs). In the NG system, a confidence rate determination method has been designed to identify the uncertainty of the acquired data. According to the confidence rate, the risks from inaccurate data can be properly analysed...
Airspace Navigation Service Providers (ANSPs), are looking forward to transforming their operations to better meet the increased demand for Air Traffic Control (ATC) services and to also provide increased efficiencies for users and service providers. One of the major transformations in this domain that is expected to occur over the next decade is a shift from current flight plan based operations towards...
Locative narratives can implement different modes of coupling of the physical space and the narrative content, impacting how the user experiences and understands the story. Narrative causal relations are difficult to maintain when the user can freely explore the physical environment. In this paper we focus on multiple interlaced narratives, and the relation among narrative design, physical space and...
Motion planning for service robots used for human assistance in complex environments is a challenging task with multifaceted requirements. On the one hand, the generated path has to avoid obstacles and satisfy the user requirements. On the other, the generated path has to be perceived as comfortable by the user. An efficient solution to this difficult problem is based on a separation of concerns between...
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