Airborne Collision Avoidance System
Jean-baptiste Jeannin, Khalil Ghorbal, Yanni Kouskoulas et al. · 2014
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About 7,357 papers for “Collision avoidance system”
Jean-baptiste Jeannin, Khalil Ghorbal, Yanni Kouskoulas et al. · 2014
Cited by 0
Berenguer Sau, Jordi, Mateu Mateu, Jordi · QRU Quaderns de Recerca en Urbanisme · 2016
2016/2017
Cited by 0Open access
National Maritime Research Center. · The Journal of the Abraham Lincoln Association
Cited by 0Open access
Melvin Zammit · 2016
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Hook, Loyd, Skoog, Mark A, Prosser, Kevin · NASA STI Repository (National Aeronautics and Space Administration)
The present invention is a system and method for aircraft ground collision avoidance (iGCAS) comprising a modular array of software, including a sense own state module configured to gather data to compute trajectory, a sense terrain module including a digital terrain map (DTM) and map manger routine to store and retrieve terrain elevations, a predict collision threat module configured to generate an elevation profile corresponding to the terrain under the trajectory computed by said sense own state module, a predict avoidance trajectory module configured to simulate avoidance maneuvers ahead of the aircraft, a determine need to avoid module configured to determine which avoidance maneuver should be used, when it should be initiated, and when it should be terminated, a notify Module configured to display each maneuver's viability to the pilot by a colored GUI, a pilot controls module configured to turn the system on and off, and an avoid module configured to define how an aircraft will perform avoidance maneuvers through 3-dimensional space.
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Tran Minh Tung, C.J. Harris, P.A. Wilson · ePrints Soton (University of Southampton) · 2000
Cited by 2
R C Uhlin · 1974
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Jernej Koželj · 2016
The aim of the thesis was to develop a mobile application that alerts the user of the risk of collision on the highway. This could prevent accidents and increase safety on the roads. User would run the application before driving and it will run in the background. It will emit or receive warnings about the risk of collision and transmit them to the user (driver). The development was done in Android Studio. The first part of thesis presents the technology used and is more theoretical. The second part is detailed development of the application itself, its operation and summary of the whole work.
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Jon Rigelsford · Sensor Review · 2002
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Fadi Basma, Hazem H. Refai · 2009
The number of collisions at urban and rural intersections has been on the rise in spite of technological innovations and advancements for vehicle safety. It has been reported that nearly a third of all reported crashes occur in such areas. Consequently, there is a need for a reliable real time warning system that can alert drivers of a potential collision. Most collision avoidance systems currently being researched are based on road-vehicle or inter-vehicle communication. Such systems are vehicle dependent, thus limiting their applicability to vehicles that are equipped with the proper technologies. In this project, an intersection collision warning (ICW) system based solely on infrastructure communication was developed and tested. ICW utilizes wireless sensor networks (WSN) for detecting and transferring warning information to drivers to prevent accidents. The system is deployed into intersection roadways and supports real time prevention by monitoring approaching traffic and providing a warning system to motorists when there is a high probability of collision. The ICW system has been tested at the University of Oklahoma Tulsa campus. For the purpose of evaluation, different collision scenarios have been emulated in a lab setup while the system performance and detection accuracy are evaluated. Results confirm the ability of the system to provide a warning signal in high probability collision situations.
Cited by 5
Wesley A. Olson · 2015
Abstract : Since the 1970s, Lincoln Laboratory has participated in the development, implementation, and improvement of an onboard collision avoidance system on behalf of the Federal Aviation Administration (FAA). The current Traffic Alert and Collision Avoidance System II (TCAS II), mandated worldwide on all large commercial aircraft since 2000, has proven to be highly effective in preventing mid-air collisions. But major transformations to the National Airspace System are being implemented through the FAA s Next-Generation Air Transportation System (NextGen). With the goal of reducing gridlock in the sky and at airports across the United States, NextGen is leveraging new surveillance and navigation capabilities and adopting new technologies and procedures that will enable planes to fly closer together, follow more direct routes, and better coordinate takeoffs and landings. TCAS II would be unable to support these NextGen operations without undergoing significant costly and time-consuming modifications.
Cited by 12
Ernst Hermann Düll, H. Peters · SAE technical papers on CD-ROM/SAE technical paper series · 1978
<div class="htmlview paragraph">We believe today that collision avoidance systems can appreciably reduce the number and seriousness of rear-end collisions.</div> <div class="htmlview paragraph">The mode of operation of a non - cooperative collision avoidance system is shown. Demands on the radar distance measurement system are described, e. g. questions of radar pulse mode, antenna diagram and choice of frequency.</div> <div class="htmlview paragraph">The decisive problem as regards evaluation of the radar echo is the reliable separation of desired and undesired signals. The presented technique uses a time magnification process followed by discrimination according to amplitude, pattern and echo jumps. In addition, there is a radar range limitation which is dependent on speed and steering angle. With experimental vehicles - equipped with the collision avoidance system - over 100 000 km have been covered. The results were very encouraging.</div>
Cited by 11
M. Wimmershoff, Fréderic Christen · Open Repository and Bibliography (University of Liège) · 2010
Nowadays, collision avoidance (CA) systems are an intensive research topic since the majority of all traffic accidents are collisions that are caused due to inattention or unadjusted driving behaviour of the driver. Up to date prototypic CA systems are based on on-board environmental sensors, such as camera or radar systems, in order to scan the vehicle’s surrounding for potential crashes. The functionality of the used sensors under varying environmental conditions and the limited sensor covering area require an enormous effort to ensure a reliable detection of obstacles, and thus limit the application of the systems. In order to expand the operating field of such systems, a GALILEO-based CA system will be developed within the project GALILEO-above. This advanced driver assistance system detects surrounding vehicles that are on collision course, and react autonomous, if the driver does not intervene to avoid the crash. For this purpose the system initiates an emergency stop or an emergency steering. For the development of the CA system the GALILEO test centre “Automotive Gate” in Aldenhoven, Germany will be used. On this test area pseudolites will be installed which provide GALILEO-like navigation signals. Thus, the development respectively tuning of GALILEO based vehicle systems will be enabled, so that they are available on the market when the GALILEO satellite system becomes operative. At the end of the project GALILEO-above, first prototypes should demonstrate the potential of GALILEO-based collision avoidance systems. In this paper the GALILEO-above project will be introduced followed by a detailed description of the development process of the CA system. Furthermore, first results will be presented.
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Ali Khanafer · 2012
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J. Christian van Aswegen, Herman A. Hamersma, P. Schalk · Lecture notes in mechanical engineering · 2024
Abstract Accidents caused by wheeled mining machines contribute to approximately 30% of injuries and fatalities in the global mining industry. Wheeled mining machines have limited driver assist features when compared to the passenger vehicle market and are typically limited to collision avoidance by braking. These products are often subject to false positive interventions leading to production losses, increased wear, and resistance to adopt the technology by end users. This study proposes a sampling-based method to expand the collision avoidance by braking approach to include steering. The sampling method is based on the vehicle’s kinematics and the application of a Gaussian distribution to the steering rate to determine the probability of a collision occurring. Initial results indicate that the inclusion of steering rate on the collision prediction model may increase the operator’s situational awareness, leading to fewer false positives.
Cited by 0Open access
Yamin Huang, Linying Chen, Rudy R. Negenborn et al. · Ocean Engineering · 2020
Cited by 85Open access
Chih-kai Chen, Haizhen Zhu, Mansoor Mohsin et al. · 2001
In the last two decades, thousands of people fly around the world every day giving the perception of the world as a global village. With the increase in air traffic, there have been more and more incidents of aircraft collisions.
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P E Powell, G H Greenleaf · Defense Technical Information Center (DTIC) · 1979
Analysis of aircraft and ground mounted infrared devices for runway collision in low visibility conditions; Evaluation of IR signatures of commercial aircraft, strobes and beacons, and ground vehicles; Study of IR atmospheric transmisson and laser propagation in fog and haze; Design of a two-color IR system for jet engine detection; and Application of laser technology to obstacle detection in fog. (Author)
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Dr.Usha Surendra, B. Aruna, S. SaleemA et al. · Türk bilgisayar ve matematik eğitimi dergisi · 2018
Nowadays, the number of accidents is so high and uncertain. Accidents causes worst damage, serious injury and even death. These accidents are mostly caused by delay of the driver to hit the brake. Preventive measure such as improving visibility, auto headlights, windshield wipers, tire traction, etc.
 
 were deployed to reduce the probability of getting into an accident. Now we are at the stage of actively avoiding accidents as well as providing maximum protection to the vehicle occupants and even pedestrians. Hence in this paper, we make an attempt to propose a new automated vehicle collision avoidance system. This project is designed to develop a new system that can solve this problem where drivers may not brake manually but the vehicles can stop automatically due to obstacles by using sensors.
 
 Thus, this paper focuses on the development of a sensor based embedded system that can assist the drivers to avoid any sort of collision on the road in order to save the precious lives and also to prevent the financial loss.
Cited by 0Open access
Ijlal Ullah Khan, Muhammad Umair Shafiq, Abid Imran et al. · 2022
This chapter describes the design of a collaborative robot (COBOT) for object handling in a dynamic interactive environment at Advance Manufacturing Processes Lab (AMPL), faculty of mechanical engineering, GIK Institute of Engineering Science and Technology, Topi in order to aid in the development of well-organized systematic practices. By avoiding static obstacles in the path, it aids in material handling between different nodes. The mobile robot will be equipped with a six degree of freedom (6-DOF) robotic arm to pick and place different objects, then the COBOT will move to the goal point by avoiding the obstacles in its path. Firstly, complete concept design of COBOT followed by the kinematic modeling is presented in this chapter. The developed kinematic model will be used to follow a desired trajectory by the COBOT. Furthermore, the required torque for each motor is calculated by considering the pay load along with the weight of the COBOT as thirty-five kg. After mathematical model of the COBOT, finally, the path planning algorithm is incorporated to select the shortest path from current position to the goal position by avoiding the static obstacles. For this purpose, the A* algorithm is used to find the shortest path from current position to the desired position.
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