Relevant bibliographies by topics / Terrain following

Academic literature on the topic 'Terrain following'

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Published: 4 June 2021
Last updated: 30 January 2023

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Journal articles on the topic "Terrain following"

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Huskić, Goran, Sebastian Buck, Matthieu Herrb, Simon Lacroix, and Andreas Zell. "High-speed path following control of skid-steered vehicles." International Journal of Robotics Research 38, no. 9 (July 2019): 1124–48. http://dx.doi.org/10.1177/0278364919859634.

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We present a robust control scheme for skid-steered vehicles that enables high-speed path following on challenging terrains. First, a kinematic model with experimentally identified parameters is constructed to describe the terrain-dependent motion of skid-steered vehicles. Using Lyapunov theory, a nonlinear control law is defined, guaranteeing the convergence of the vehicle to the path. To allow smooth and accurate motion at higher speeds, an additional linear velocity control scheme is proposed, which takes actuator saturation, path following error, and reachable curvatures into account. The combined solution is experimentally evaluated and compared against two state-of-the-art algorithms, by using two different robots on several different terrain types, at different speeds. A Robotnik Summit XL robot is tested on three different terrain types and two different paths at speeds up to [Formula: see text] m/s. A Segway RMP 440 robot is tested on three different terrain types and two different path types at speeds up to [Formula: see text] m/s.
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Lee, Hyunju, Sunghyun Hahn, Sangchul Lee, Sangil Lee, and Kwansik Seo. "A Study on Terrain Profile Generation for Terrain Following." Journal of the Korean Society for Aeronautical & Space Sciences 51, no. 1 (January 31, 2023): 49–56. http://dx.doi.org/10.5139/jksas.2023.51.1.49.

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Nachbin, André. "A Terrain-Following Boussinesq System." SIAM Journal on Applied Mathematics 63, no. 3 (January 2003): 905–22. http://dx.doi.org/10.1137/s0036139901397583.

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Xu, Qin, and Jie Cao. "Semibalance Model in Terrain-Following Coordinates." Journal of the Atmospheric Sciences 69, no. 7 (July 1, 2012): 2201–6. http://dx.doi.org/10.1175/jas-d-12-012.1.

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Abstract By partitioning the hydrostatically balanced flow into a nonlinearly balanced primary-flow part and a remaining secondary-flow part and then truncating the secondary-flow vorticity advection and stretching–tilting terms in the vector vorticity equation, the previous semibalance model (SBM) in pseudoheight coordinates is rederived in terrain-following pressure coordinates, called η coordinates. The involved truncation is topologically the same as that in pseudoheight coordinates but the truncated terms in η coordinates are not equivalent to those in pseudoheight coordinates. Because its potential vorticity (PV) is conserved and invertible, the rederived SBM is suitable for studying balanced dynamics via “PV thinking” in real weather events, such as slowly varying vortices and curved fronts in which the primary-flow velocity and secondary-flow vorticity are nearly parallel in η coordinates.
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Humi, M. "Long's equation in terrain following coordinates." Nonlinear Processes in Geophysics 16, no. 4 (August 7, 2009): 533–41. http://dx.doi.org/10.5194/npg-16-533-2009.

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Abstract. Long's equation describes two dimensional stratified atmospheric flow over terrain which is represented by the geometry of the domain. The solutions of this equation over simple topography were investigated analytically and numerically by many authors. In this paper we derive a new terrain following formulation of this equation which incorporates the terrain as part of the differential equation rather than the geometry of the domain. This new formulation enables us to compute analytically steady state gravity wave patterns over complex topography in some limiting cases of the parameters that appear in this equation.
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Decker, Steven G. "Nonlinear Balance in Terrain-Following Coordinates." Monthly Weather Review 138, no. 2 (February 1, 2010): 605–24. http://dx.doi.org/10.1175/2009mwr2971.1.

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Abstract Potential vorticity (PV) is a powerful concept in geophysical fluid dynamics. One property of PV that makes it so powerful is that it may be inverted under certain conditions, one of which is the imposition of a balance constraint. Previous studies have made use of a particular nonlinear balance constraint suited to isobaric coordinates as part of their inversion procedures. The present study constructs and tests a new nonlinear balance constraint that may be applied directly to the output of the Weather Research and Forecasting (WRF) model on its native terrain-following vertical coordinate. Output from the nonlinear balance operator is examined in the context of idealized and real-data WRF forecasts, and the results indicate that the simplifications necessary to derive the nonlinear balance operator are justified on the synoptic and meso-α scales. On the other hand, once the scales resolved by the model are small enough, neglected terms reach magnitudes on the order of the retained terms, even over flat terrain. This suggests that the use of this operator within a PV inversion scheme that also uses the WRF vertical coordinate would not capture a divergent portion of the flow that may be significant.
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SATOH, Yuki, and Masafumi MIWA. "UAV terrain following flight using RTK-GPS." Proceedings of Conference of Chugoku-Shikoku Branch 2021.59 (2021): 10a2. http://dx.doi.org/10.1299/jsmecs.2021.59.10a2.

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Restle, M., W. Grimm, and T. Kopfstedt. "Terrain Optimized Nonholonomic Following of Vehicle Tracks." IFAC Proceedings Volumes 43, no. 16 (2010): 264–69. http://dx.doi.org/10.3182/20100906-3-it-2019.00047.

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SATOH, Yuki, and Masafumi MIWA. "UAV terrain following flight using RTK-GPS." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2021 (2021): 1P3—B06. http://dx.doi.org/10.1299/jsmermd.2021.1p3-b06.

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Menon, P. K. A., E. Kim, and V. H. L. Cheng. "Optimal trajectory synthesis for terrain-following flight." Journal of Guidance, Control, and Dynamics 14, no. 4 (July 1991): 807–13. http://dx.doi.org/10.2514/3.20716.

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Dissertations / Theses on the topic "Terrain following"

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Pyekh, Yury B. "Dynamic terrain following: nvCPD scanning technique improvement." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34826.

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There is a large number of measurement techniques that is used for a surface inspection and a characterization of different types of materials. One of these techniques is a contact potential difference (CPD) scanning technique. In this project a non-vibrating contact potential difference (nvCPD) method is utilized to measure a work function and a topographical structure of a sample surface. A sample is mounted on a spindle that rotates at high speed. A nvCPD sensor detects work-function variations during movement above the sample surface. There are certain factors that create difficulties during the measurement process. A nonplanar sample surface, the spindle wobble and an incline of a mounted sample impede the safe (without impacting the surface) scanning at a close distance. The goal of this thesis was to implement a height sensor as a feedback device to dynamically control and adjust a CPD sensor flying height. Since a CPD signal is inversely proportional to the flying height, minimization of this height will enhance the signal magnitude, the signal-to-noise ratio and the resolution of measurements.
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Kim, Eulgon. "Optimal helicopter trajectory planning for terrain following flight." Diss., Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/12932.

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Jonsson, Robert. "Planning Terrain Following Flight Paths : An Elastic Band Algorithm." Thesis, Karlstads universitet, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-55000.

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Planning algorithms have applications in many fields such as robotics, logistics, and more.Planning for terrain following flights can be to utilize features of the terrain to minimizethe risk of detection. The similar problem of terrain avoidance is applicable to planningthe movement for survey or search vehicles, where low and fixed altitude may be important.Common problems that arise when planning for terrain following flights is that the dynamics ofthe vehicle are difficult to model, the state space is only represented in an approximate mannerand detailed calculations of the subject are computationally expensive. This work presents aplanning algorithm for the vertical component of terrain following flight paths using methods ofenergy, where the path itself is modelled as an elastic band deformed by virtual forces to followthe terrain. Using linear internal equations of motion for the elastic band, the computationalcomplexity can be kept low. Similar ideas have been used for planning algorithms in otherworks, but novel to the method presented here is that complicated limitations to the dynamicsof the vehicle can be treated in an effective manner. This is achieved by an adaptive linearcombination of different models for the internal elastic forces.
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Griffiths, Stephen R. "Remote Terrain Navigation for Unmanned Air Vehicles." BYU ScholarsArchive, 2006. https://scholarsarchive.byu.edu/etd/1059.

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There are many applications for which small unmanned aerial vehicles (SUAVs) are well suited, including surveillance, reconnaissance, search and rescue, convoy support, and short-range low-altitude perimeter patrol missions. As technologies for microcontrollers and small sensors have improved, so have the capabilities of SUAVs. These improvements in SUAV performance increase the possibility for hazardous missions through mountainous and urban terrain in the successful completion of many of these missions. The focus of this research was on remote terrain navigation and the issues faced when dealing with limited onboard processing and limited payload and power capabilities. Additional challenges associated with canyon and urban navigation missions included reactive path following, sensor noise, and flight test design and execution. The main challenge was for an SUAV to successfully navigate through a mountainous canyon by reactively altering its own preplanned path to avoid canyon walls and other stationary obstacles. A robust path following method for SUAVs that uses a vector field approach to track functionally curved paths is presented along with flight test results. In these results, the average tracking error for an SUAV following a variety of curved paths is 3.4~m for amplitudes ranging between 10 and 100~m and spatial periods between 125 and 500~m. Additionally, a reactive path following method is presented that allows a UAV to continually offset or bias its planned path as distance information from the left and right ranging sensors is computed. This allows the UAV to to center itself between potential hazards even with imperfect waypoint path planning. Flight results of an SUAV reactively navigating through mountainous canyons experimentally verify the feasibility of this approach. In a flight test through Goshen Canyon in central Utah, an SUAV biased its planned path by 3 to 10~m to the right as it flew to center itself through the canyon and avoid the possibility of crashing into a canyon wall.
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Flood, Cecilia. "Real-time Trajectory Optimization for Terrain Following Based on Non-linear Model Predictive Control." Thesis, Linköping University, Department of Electrical Engineering, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1136.

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There are occasions when it is preferable that an aircraft flies asclose to the ground as possible. It is difficult for a pilot to predict the topography when he cannot see beyond the next hill, and this makes it hard for him to find the optimal flight trajectory. With the help of a terrain database in the aircraft, the forthcoming topography can be found in advance and a flight trajectory can be calculated in real-time. The main goal is to find an optimal control sequence to be used by the autopilot. The optimization algorithm, which is created for finding the optimal control sequence, has to be run often and therefore, it has to be fast.

This thesis presents a terrain following algorithm based on Model Predictive Control which is a promising and robust way of solving the optimization problem. By using trajectory optimization, a trajectory which follows the terrain very good is found for the non-linear model of the aircraft.

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Lapp, Tiffany Rae 1979. "Guidance and control using model predictive control for low altitude real-time terrain following flight." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/30278.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.
Includes bibliographical references (p. 123-125).
This thesis presents the design and implementation of a model predictive control based trajectory optimization method for Nap-of-the-Earth (NOE) flight. A NOE trajectory reference is generated over a subspace of the terrain. It is then inserted into the cost function and the resulting trajectory tracking error term is weighted for more precise longitudinal tracking than lateral tracking through the introduction of the TF/TA ratio. The TF/TA ratio, control effort penalties and MPC prediction horizon are tuned for this application via simulation and eigenvalue analysis for stability and performance. Steps are taken to reduce complexity in the optimization problem including perturbational linearization in the prediction model generation and the use of control basis functions which are analyzed for their trade-off between approximation of the optimal cost/solution and reduction of the optimization complexity. Obstacle avoidance including preclusion of ground collision is accomplished through the establishment of hard state constraints. These state constraints create a 'safe envelope' within which the optimal trajectory can be found. Results over a variety of sample terrains are provided to investigate the sensitivity of tracking performance to nominal velocities. The mission objective of low altitude and high speed was met satisfactorily without terrain or obstacle collision, however, methods to preclude or deal with infeasibility must be investigated as terrain severity (measured by commanded flight path angle) is increased past 30 degrees or speed is increased to and past 30 knots.
by Tiffany Rae Lapp.
S.M.
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Carneiro, Gustavo Lima. "Model based predictive control applied to the aircraft longitudinal mode for a terrain following task." Instituto Tecnológico de Aeronáutica, 2009. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1228.

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In the present work, a study is proposed about the applicability of a predictive controller to be used to control the longitudinal mode of an aircraft. The objective is to evaluate the performance of such control approach applied to a terrain following task, verifying the tracking suitability while respecting physical constraints to which the aircraft is subjected to. As examples, control surfaces range limitations, restrictions for the available thrust as well as other variables such as the angle of attack, velocity, pitch rate and the altitude itself. A fighter aircraft simplified model was used for the longitudinal movement to perform the simulations. The predictive control approach used was based on a linear prediction model described in the state space. Therefore, it was necessary to linearize the aircraft dynamic around an equilibrium point previously chosen. Two scenarios were evaluated for the same terrain profile. The first considered the simulation with the system nominal constraints. The second scenario covered an elevator actuator failure, in order to analyze the suitability of such controller when dealing with the online imposed constraints. The advantages of the predictive control methodology were evident based on the results for both scenarios, where an adequate terrain profile tracking was observed and, at the same time, the imposed restrictions were enforced in the performed simulations.
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Martinho, Antonio S. "Sensitivity studies using multi-region and open boundary conditions for terrain bottom following ocean models." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Mar%5FMartinho.PhD.pdf.

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Garratt, Matthew Adam, and m. garratt@adfa edu au. "Biologically Inspired Vision and Control for an Autonomous Flying Vehicle." The Australian National University. Research School of Biological Sciences, 2008. http://thesis.anu.edu.au./public/adt-ANU20090116.154822.

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This thesis makes a number of new contributions to control and sensing for unmanned vehicles. I begin by developing a non-linear simulation of a small unmanned helicopter and then proceed to develop new algorithms for control and sensing using the simulation. The work is field-tested in successful flight trials of biologically inspired vision and neural network control for an unstable rotorcraft. The techniques are more robust and more easily implemented on a small flying vehicle than previously attempted methods.¶ Experiments from biology suggest that the sensing of image motion or optic flow in insects provides a means of determining the range to obstacles and terrain. This biologically inspired approach is applied to control of height in a helicopter, leading to the World’s first optic flow based terrain following controller for an unmanned helicopter in forward flight. Another novel optic flow based controller is developed for the control of velocity in hover. Using the measurements of height from other sensors, optic flow is used to provide a measure of the helicopters lateral and longitudinal velocities relative to the ground plane. Feedback of these velocity measurements enables automated hover with a drift of only a few cm per second, which is sufficient to allow a helicopter to land autonomously in gusty conditions with no absolute measurement of position.¶ New techniques for sensor fusion using Extended Kalman Filtering are developed to estimate attitude and velocity from noisy inertial sensors and optic flow measurements. However, such control and sensor fusion techniques can be computationally intensive, rendering them difficult or impossible to implement on a small unmanned vehicle due to limitations on computing resources. Since neural networks can perform these functions with minimal computing hardware, a new technique of control using neural networks is presented. First a hybrid plant model consisting of exactly known dynamics is combined with a black-box representation of the unknown dynamics. Simulated trajectories are then calculated for the plant using an optimal controller. Finally, a neural network is trained to mimic the optimal controller. Flight test results of control of the heave dynamics of a helicopter confirm the neural network controller’s ability to operate in high disturbance conditions and suggest that the neural network outperforms a PD controller. Sensor fusion and control of the lateral and longitudinal dynamics of the helicopter are also shown to be easily achieved using computationally modest neural networks.
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Eaton, Caitrin Elizabeth. "Reducing the Control Burden of Legged Robotic Locomotion through Biomimetic Consonance in Mechanical Design and Control." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5680.

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Terrestrial robots must be capable of negotiating rough terrain if they are to become autonomous outside of the lab. Although the control mechanism offered by wheels is attractive in its simplicity, any wheeled system is confined to relatively flat terrain. Wheels will also only ever be useful for rolling, while limbs observed in nature are highly multimodal. The robust locomotive utility of legs is evidenced by the many animals that walk, run, jump, swim, and climb in a world full of challenging terrain. On the other hand, legs with multiple degrees of freedom (DoF) require much more complex control and precise sensing than wheels. Legged robotic systems are easily hampered by sensor noise and bulky control loops that prohibit the high-speed adaptation to external perturbations necessary for dynamic stability in real time. Low sensor bandwidth can limit the system’s reaction time to external perturbations. It is also often necessary to filter sensor data, which introduces significant delays in the control loop. In addition, state estimation is often relied upon in order to compute active stabilizing responses. State estimation requires accurate sensor data, often involving filtering, and can involve additional nontrivial computation such as the pseudo-inversion of fullbody Jacobians. This perception portion of the control burden is all incurred before a response can be planned and executed. These delays can prevent a system from executing a corrective response before instability leads to failure. The present work presents an approach to legged system design and control that reduces both the perception and planning aspects of the online control burden. A commonly accepted design goal in robotics is to accomplish a task with the fewest possible DoF in order to tighten the control loop and avoid the curse of dimensionality. However, animals control many DoF in a manner that adapts to external perturbations faster than can be explained by efferent neural control. The passive mechanics of segmented animal limbs are capable of rejecting unexpected disturbances without the supervision of an active controller. By simulating biomimetic limbs, we can learn more about this preflexive response, how the properties of segmented biological limbs foster self-stable passive mechanics, and how the control burden can be mitigated in robotic legged systems. The contribution of this body of work is to reduce the control burden of legged locomotion for robots by drawing on self-stabilizing mechanical design and control principles observed in animal locomotion. To that end, minimal templates such as Sensory-Coupled Action Switching Modules (SCASM), Central Pattern Generators (CPGs), and the Spring-Loaded Inverted Pendulum (SLIP) model are used to learn more about the essential components of legged locomotion. The motivation behind this work lies largely in the study of how internal, predictive models and the intrinsic mechanical properties of biological limbs help animals self-stabilize in real time. Robotic systems have already begun to demonstrate the benefits of these biological design primitives in an engineering context, such as reduced cost of transportation and an immediate mechanical response that does not need to wait for sensor feedback or planning. The original research presented here explores the extent to which these principles can be utilized in order to encourage stable legged locomotion over uneven terrain with as little sensory information as possible. A method for generating feedforward, terrain-adaptive control primitives based on a compliant limb architecture is developed. Offline analysis of system dynamics is used to develop clock-driven patterns of leg stiffness and attack angle control during late swing with which passive stance phase dynamics will produce the desired apex height and stride period to within 0.1 mm and 50 μs, respectively. A feedforward method of energy modulation is incorporated that regulates velocity to within 10−5 m/s. Preservation of a constant stride period eliminates the need for detection of the apex event. Precise predictive controls based on thorough offline dynamic modeling reduce the system’s reliance on state and environmental data, even in rough terrain. These offline models of system dynamics are used to generate a controller that predicts the dynamics of running over uneven terrain using an internal clock signal. Real-time state estimation is a non-trivial bottleneck in the control of mobile systems, legged and wheeled alike. The present work significantly reduces this burden by generating predictive models that eliminate the need for state estimation within the control loop, even in the presence of damping. The resulting system achieves not only self-stable legged running, but direct control of height, speed, and stride period without inertial sensing or force feedback. Through this work, the controller dependency on accurate and rapid sensing of the body height and velocity, apex event, and ground variation was eliminated. This was done by harnessing physics-based models of leg dynamics, used to generate predictive controls that exploit the passive mechanics of the compliant limb to their full potential. While no real world system is entirely deterministic, such a predictive model may serve as the base layer for a lightweight control architecture capable of stable robotic limb control, as in animal locomotion.
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Books on the topic "Terrain following"

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Center, Ames Research, ed. Rotary-wing aircraft terrain-following/terrain-avoidance system development. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1986.

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Center, Ames Research, ed. Rotary-wing aircraft terrain-following/terrain-avoidance system development. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1986.

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E, Kim, and Ames Research Center, eds. Optimal helicopter trajectory planning for terrain following flight. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1990.

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E, Kim, and Ames Research Center, eds. Optimal helicopter trajectory planning for terrain following flight: Final report. Atlanta, Ga: School of Aerospace Engineering, Georgia Institute of Technology, 1990.

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Abraham, William J. Reviewing the Terrain. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198786504.003.0005.

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In this chapter the author provides a retrospective glance on the material reviewed thus far, and suggests a deeper history of the debates about the nature of divine action among both theologians and philosophers is needed. The author demonstrates the complexity of the debates and the assumptions brought to the table, particularly those assumptions tacit in philosophical queries into the justification of religious belief. He suggests the contours of this particular debate colored the debate on divine action. Following I. M. Crombie, the author argues that theology proper can inform how one thinks about divine actions. Moreover, he argues that theologians and their proposals ought to be considered in the ongoing debate about divine action on their own terms, rather than to be thought secondary to explicitly analytic philosophical arguments and terms for debate.
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N, Swenson Harry, and Ames Research Center, eds. Simulation evaluation of display-FLAIR concepts for low altitude terrain-following helicopter operations. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1985.

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Sensitivity Studies Using Multi-Region and Open Boundary Conditions for Terrain Bottom-Following Ocean Models. Storming Media, 2003.

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Reid, Richard, and John Parker. Introduction African Histories. Edited by John Parker and Richard Reid. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199572472.013.0027.

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This chapter provides an introduction to Africa, and to the volume. Following a survey of the continent’s physical and cultural terrain, the chapter explores the position of Africa in discussions of ‘the modern’, and in relation to global history. The core concern of this introductory overview is to trace the intellectual roots of the idea of ‘Africa’ as well as the continent’s ever-growing historiography. The chapter concludes with a summary of the structure, aims and ethos of the collection itself.
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Body, Alison. Children's Charities in Crisis. Policy Press, 2020. http://dx.doi.org/10.1332/policypress/9781447346432.001.0001.

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Following a decade of radical change in policy and funding in children’s early intervention services and with the role of the third sector under increased scrutiny, this timely book assesses the shifting interplay between state provision and voluntary organisations delivering interventions for children, young people and their families. Using one-hundred voices from charities and their partners on the frontline, this book provides vivid accounts of the lived experiences of charitable groups, offering key insights into the impact of recent social policy decisions on their work. Telling the story of how the landscape of children’s early intervention services has changed over the last decade, it provides crucial lessons for future policy whilst demonstrating the immeasurable value of voluntary organisations working in this challenging terrain.
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Godfrey, Barry, Pam Cox, Heather Shore, and Zoe Alker. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198788492.003.0001.

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Chapter 1 starts with descriptions of the life courses of two individuals and goes on to explain the remit of this study, which follows the life courses and life chances of 500 people born in late nineteenth- and early twentieth-century England. Their lives are linked by virtue of their shared experiences within, or at the margins of, the early youth justice system. The chapter then summarizes key themes within the literatures that have inspired this study: life course criminology, crime history, and socio-economic history. The life course has become a rich research terrain in recent years, one that requires researchers to find ways of tracking the twists, turns, and tipping points of their subjects’ lives as they change over time. Finally, the contents of the following chapters are summarized.
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Book chapters on the topic "Terrain following"

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Christou, N., K. Parthenis, B. Dimitriadis, and N. Gouvianakis. "Digital models for autonomous vehicle terrain — following." In Robotic Systems, 407–13. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2526-0_47.

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Noh, Junyoung, Hyungjoo Ahn, Jaeho Lee, and Hyochoong Bang. "Terrain-Following Guidance Based on Model Predictive Control." In Lecture Notes in Electrical Engineering, 845–53. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2635-8_62.

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Wang, Huatian, Qinbing Fu, Hongxin Wang, Jigen Peng, and Shigang Yue. "Constant Angular Velocity Regulation for Visually Guided Terrain Following." In IFIP Advances in Information and Communication Technology, 597–608. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19823-7_50.

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Eide, Øyvind. "Reading the Text, Walking the Terrain, Following the Map." In Advancing Digital Humanities, 194–205. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137337016_13.

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Alqahtani, Nasser Ayidh, Bara Jamal Emran, and Homayoun Najjaran. "Motion Control of a Terrain Following Unmanned Aerial Vehicle Under Uncertainty." In Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 537–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56991-8_40.

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Freese, Marc, Surya P. N. Singh, William Singhose, Edwardo F. Fukushima, and Shigeo Hirose. "Terrain Modeling and Following Using a Compliant Manipulator for Humanitarian Demining Applications." In Springer Tracts in Advanced Robotics, 3–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13408-1_1.

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Jiang, Wen, Yulin Huang, Junjie Wu, Wenchao Li, and Jianyu Yang. "A New Approach for Terrain Following Radar Based on Radar Angular Superresolution." In Lecture Notes in Electrical Engineering, 223–31. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08991-1_23.

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Avanzini, Marco, Isabella Salvador, Elisabetta Starnini, Daniele Arobba, Rosanna Caramiello, Marco Romano, Paolo Citton, et al. "Following the Father Steps in the Bowels of the Earth: The Ichnological Record from the Bàsura Cave (Upper Palaeolithic, Italy)." In Reading Prehistoric Human Tracks, 251–76. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60406-6_14.

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AbstractThe chapter summarizes the new results of the Bàsura Revisited Interdisciplinary Research Project. The integrated interpretation of recent archaeological data and palaeosurface laser scans, along with geoarchaeological, sedimentological, geochemical and archaeobotanical analyses, geometric morphometrics and digital photogrammetry, enabled us to reconstruct some activities that an Upper Palaeolithic human group led inside a deep cave in northern Italy within a single exploration event about 14 ka calBP. A complex and diverse track records of humans and other animals shed light on individual- and group-level behaviour, social relationship and mode of exploration of the uneven terrain. Five individuals, composed of two adults, an adolescent and two children, entered the cave barefoot lightening the way with a bunch of wooden sticks (Pinus t. sylvestris/mugo bundles). While proceeding, humans were forced to move on all fours, and the traces they left represent the first report of crawling locomotion in the global human ichnological record. Anatomical details recognizable in the crawling traces show that no clothing was present between limbs and the trampled sediments. Our study demonstrates that very young children (the youngest about 3 years old) were active members of the human groups, even in apparently dangerous and social activities, shedding light on behavioural habits of Upper Palaeolithic populations.
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Schillai, Sophia M., Alexander B. Phillips, Eric Rogers, and Stephen R. Turnock. "Experimentally based analysis of low altitude terrain following by autonomous underwater vehicles." In Navigation and Control of Autonomous Marine Vehicles, 111–33. Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/pbtr011e_ch5.

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von Schnitzler, Antina. "Introduction." In Democracy's Infrastructure. Princeton University Press, 2016. http://dx.doi.org/10.23943/princeton/9780691170770.003.0001.

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This book examines how residents' administrative links to the state emerged as a central political terrain during the antiapartheid struggle in South Africa and the ways that this terrain persists in the postapartheid period. It explores the techno-politics underlying contemporary conflicts from the perspective of infrastructure by historically and ethnographically following the life of a small device: a prepaid water meter. Focusing on Operation Gcin'amanzi (“Save Water”) in Soweto, the book shows how, in the aftermath of apartheid and in a context of neoliberal reforms, many of the central questions of the antiapartheid struggle such as citizenship, social obligation, and the shape of democracy in the “new South Africa” were reframed as technical-managerial and procedural questions. This chapter provides an overview of the prepaid meter as well as the concept of techno-politics, along with the triumphalist rise of liberal democracy in postapartheid South Africa.
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Conference papers on the topic "Terrain following"

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JOHNSON, K., and M. WENDL. "F15E terrain following system development." In Aerospace Design Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-1079.

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Twigg, Shannon, Anthony Calise, and Eric Johnson. "3D Trajectory Optimization for Terrain Following and Terrain Masking." In AIAA Guidance, Navigation, and Control Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-6102.

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SWENSON, HERRY, GORDON HARDY, and PAT MORRIS. "Simulation evaluation of helicopter Terrain Following/Terrain Avoidance concepts." In Digital Avionics Systems Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-3924.

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DORR, D. "Rotary-wing aircraft terrain-following/terrain-avoidance system development." In Astrodynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1986. http://dx.doi.org/10.2514/6.1986-2147.

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GONSALVES, PAUL, EDWARD KNELLER, and GREG ZACHARIAS. "Model-based terrain-following display design." In Flight Simulation Technologies Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-3290.

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SITZ, T. "F-15E terrain following test results." In Orbital Debris Conference: Technical Issues andFuture Directions. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1990. http://dx.doi.org/10.2514/6.1990-1299.

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Livshitz, Arseny, and Moshe Idan. "Adaptive Laser-Range-Finder Terrain-Following Approach." In 2019 27th Mediterranean Conference on Control and Automation (MED). IEEE, 2019. http://dx.doi.org/10.1109/med.2019.8798555.

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AlQahtani, Nasser Ayidh, Bara J. Emran, and Homayoun Najjaran. "Adaptive motion planning for terrain following quadrotors." In 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2017. http://dx.doi.org/10.1109/smc.2017.8123021.

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Duan, Xiaojun, Chengfu Wu, Huaimin Chen, and Fengju Kang. "Terrain Following Flight Modeling and Simulation Research." In Proceedings of the International Conference. World Scientific Publishing Company, 2008. http://dx.doi.org/10.1142/9789812799524_0018.

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Houts, Sarah E., Stephen M. Rock, and Rob McEwen. "Aggressive terrain following for motion-constrained AUVs." In 2012 IEEE/OES Autonomous Underwater Vehicles (AUV). IEEE, 2012. http://dx.doi.org/10.1109/auv.2012.6380749.

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Reports on the topic "Terrain following"

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Arango, Hernan G. A Community Terrain-Following Ocean Modeling System. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada609803.

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Arango, Hernan G. A Community Terrain-Following Ocean Modeling System. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada630618.

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Ezer, Tal. A Community Terrain-Following Ocean Modeling System. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada619124.

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Ezer, Tal. A Community Terrain-Following Ocean Modeling System. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada625257.

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Ezer, Tal. A Community Terrain-Following Ocean Modeling System. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada627032.

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Arango, Hernan G. A Community Terrain-Following Ocean Modeling System. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada627042.

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Arango, Herman G. A Community Terrain-Following Ocean Modeling System (ROMS/TOMS). Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada533636.

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Arango, Hernan G. A Community Terrain-Following Ocean Modeling System (ROMS/TOMS). Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada573073.

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Arango, Hernan G. A Community Terrain-Following Ocean Modeling System (ROMS/TOMS). Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada590316.

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Arango, Hernan G. A Community Terrain-Following Ocean Modeling System (ROMS/TOMS). Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada598903.

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