Topic
Guidance system
About: Guidance system is a research topic. Over the lifetime, 4282 publications have been published within this topic receiving 45964 citations.
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Papers
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07 Jun 2004
TL;DR: A new extended kinematic model with sliding accounted is presented which allows describing vehicle dynamics in all guidance conditions and a new nonlinear control law can be designed, which integrates sliding effects.
Abstract: Since Global Navigation Satellite systems are able to supply very accurate coordinates of a point (about 2 cm with a RTK GPS), such a sensor is very suitable to design vehicle guidance system. It is especially the case in agricultural tasks where a centimeter precision is often required (seeding, spraying,...). To answer to growing high precision agriculture principle demand, several control laws for automated vehicle guidance relying on this sensor have been developed. Such guidance systems are able to supply an acceptable steering accuracy as long as vehicle does not slide (path tracking on even ground with good adherence properties...), what alas inevitably occurs in agricultural tasks. Several principles are here presented to steer vehicle whatever properties of ground and path to be followed are. In this paper a new extended kinematic model with sliding accounted is presented which allows describing vehicle dynamics in all guidance conditions. Via this model a new nonlinear control law can be designed, which integrates sliding effects. Its capabilities are investigated through simulations and experimental tests.
18 citations
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30 Mar 2006
TL;DR: In this paper, the authors proposed a route guidance system that is capable of intelligibly executing route guidance even for a person who is poor at understanding a map, by using a communication robot and a display device.
Abstract: PROBLEM TO BE SOLVED: To provide a route guidance system capable of intelligibly executing route guidance even for a person who is poor at understanding a map. SOLUTION: The route guidance system 100 includes a communication robot 10 and a display device 12. For example, when the person A existing near the display device 12 is detected based on a detection result of a floor sensor 18, the robot 10 asks the person whether or not the route guidance is required. If the route guidance is required, the robot 10 further asks the person the destination. When destination information is acquired from the robot 10, a computer 14 sequentially displays a path from the present location to the destination by every key point (path point) on the display device 12. In addition, the computer 14 properly transmits control commands to the robot 10 and transmits (explains) the direction in which the person should go by utterance and gestures by every key point. As a result, since the path from the present position to the destination is displayed and the path on which the person should go is explained to the person by the gestures, the path to the destination is intelligibly explained without transfer of the robot to the destination with the person. COPYRIGHT: (C)2008,JPO&INPIT
18 citations
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26 Jan 2016
TL;DR: An assistive vehicular guidance system for locating a spotter vehicle in a target location near a target machine is proposed in this article. But the system is not suitable for the use of unmanned aerial vehicles.
Abstract: An assistive vehicular guidance system for locating a spotter vehicle in a target location near a target machine. The guidance system has a positioning system including global positioning sensors on the spotter vehicle and target machine, and user interfaces providing visual and/or auditory cues. An assist module includes long-range and short-range network radios and an analyzer. The analyzer interfaces with the global positioning sensors, the long-range and short-range network radios, and the user interfaces, planning a path for the spotter vehicle and providing cues in guiding the spotter vehicle along the path to the target location. A communications system includes short-range and long-range networks, the short-range network connecting the short-range network radios of the spotter vehicle and the target machine. The long-range network includes a VPN and server, connecting the longrange radios of the spotter vehicle and target machine with the server via the VPN.
18 citations
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22 Jun 2015TL;DR: The Lawrence teleoperation framework is extended by addition of an impedance type, position based attractive haptic guidance and analyzed from a control system perspective to analyze the effects of inaccuracies of haptic Guidance systems during execution of constrained tasks.
Abstract: The purpose of this paper is to analyze the effects of inaccuracies of haptic guidance systems during execution of constrained tasks. The Lawrence teleoperation framework is extended in this paper by addition of an impedance type, position based attractive haptic guidance and analyzed from a control system perspective. Specifically, we focus on systems where haptic guidance is used together with position or force based feedback from a slave robot to a master device. The forces due to the inaccuracy of the guidance partially counteract the feedback force, effectively masking this problematic inaccuracy from the operator. This effect is discussed by using the proposed framework and quantified. Theoretical results are supported with numerical simulation and experimentally verified on a real 6-DOF haptic teleoperation setup.
18 citations