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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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Proceedings ArticleDOI
24 Apr 2008
TL;DR: The genetic algorithm is used to find the shortest time in driving with diverse scenarios of real traffic conditions and varying vehicle speeds to alleviate the rising computational cost of the route guidance system.
Abstract: The route guidance system, which provides driving advice based on traffic information about an origin and a destination, has become very popular along with the advancement of handheld devices and the global position system. Since the accuracy and efficiency of route guidance depend on the accuracy of the traffic conditions, the route guidance system needs to include more variables in calculation, such as real time traffic flows and allowable vehicle speeds. As variables considered by the route guidance system increase, the cost to compute multiplies. As handheld devices have limited resources, it is not feasible to use them to compute the exact optimal solutions by some well- known algorithm, such as the Dijkstra's algorithm, which is usually used to find the shortest path with a map of reasonable numbers of vertices. To solve this problem, we propose to use the genetic algorithm to alleviate the rising computational cost. We use the genetic algorithm to find the shortest time in driving with diverse scenarios of real traffic conditions and varying vehicle speeds. The effectiveness of the genetic algorithm is clearly demonstrated when applied on a real map of modern city with very large vertex numbers.

39 citations

Patent
16 Dec 1994
TL;DR: In this article, a camera guidance system uses multiple GPSs distributed on the camera-supporting platform and on the cameras' target, to automatically point the cameras and the antennas conveying video signals to a receiver.
Abstract: A camera guidance system uses multiple GPSs distributed on the camera-supporting platform and on the cameras' target, to automatically point the cameras and the antennas conveying video signals to a receiver.

39 citations

Patent
03 Feb 1986
TL;DR: In this paper, a sensor is used to detect the position of a target and for detecting the positions of a missile, and a fire control processor is provided that computes a trajectory for the missile to the target and is connected to the sensor to determine any variations between the actual missile position from a computed trajectory.
Abstract: A missile guidance system including a sensor for detecting the position of a target and for detecting the position of a missile. A fire control processor is provided that computes a trajectory for the missile to the target and is connected to the sensor to determine any variations between the actual missile position from a computed trajectory missile position. A transmitter connected to this guidance computer then provides guidance information to the missile. The guidance information includes the missile position relative to the target and enables a processor on board the missile to recompute a new trajectory to the target. This guidance information is transmitted as a single pulse during a predetermined time interval as a periodic update to the missile.

39 citations

Journal ArticleDOI
TL;DR: In this article, two guidance schemes, approximating the optimal trajectors, are developed: acceleration guidance and gamma guidance, based on relative acceleration and absolute path inclination, respectively, for abort landing trajectories in a windshear.
Abstract: This paper is concerned with the guidance of abort landing trajectories in a windshear. First, optimal trajectories are determined by minimizing the peak value of the altitude drop. Then, two guidance schemes, approximating the optimal trajectors, are developed: acceleration guidance (based on the relative acceleration) and gamma guidance (based on the absolute path inclination). From numerical experiments, it appears that both the acceleration guidance and the gamma guidance yield trajectories that are close to the optimal trajectory. In addition, a theta guidance scheme (modified constant pitch guidance) is developed that is superior to the constant pitch guidance in terms of the altitude loss and the survival capability in severe windshears.

39 citations

22 Sep 2013
TL;DR: An overview of navigation systems for autonomous agricultural vehicles is presented and discussed, the key elements are navigational sensors, computational techniques, and navigation control strategies.
Abstract: Mobile robots operating in agricultural environments have been a significant subject for researchers. The rapid advancement in communication, sensors and computing technologies has provided important progress in the field of agricultural autonomous robot guidance systems. Automated agricultural robots save labour costs, prevent people from performing risky operations, and provide the farmer with up-to-date and precise information to assist management decisions. The research on mobile robot navigation systems in agricultural environments consists of designing suitable systems for sensing, mapping, localisation, path planning, and obstacle avoidance. The navigation algorithm must use sensory information to determine a suitable trajectory, make a decision, and move correctly within its environment without collision. In this paper, an overview of navigation systems for autonomous agricultural vehicles is presented and discussed. The key elements are navigational sensors, computational techniques, and navigation control strategies. The selection, coordination, and combination of the optimal sensors to provide the basic information for mobile robot navigation are critical processes. Powerful algorithms are used for feature extraction, data processing and fusion. For autonomous navigation, steering controllers provide an appropriate steering action to automatically drive vehicles. Navigation of mobile robots in outdoor environments such as agricultural applications is still an open problem. The design of efficient and robust sensing and control systems for agricultural mobile robots is required to overcome the difficulties due to the weather conditions, dynamic environments, unexpected obstacles, terrain nature variations and vegetation.

39 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202319
202252
202197
2020141
2019194
2018206