Dissertations / Theses on the topic 'Collision avoidance'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 dissertations / theses for your research on the topic 'Collision avoidance.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.
Matthews, Neil David. "Visual collision avoidance." Thesis, University of Southampton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287308.
Full textPerkins, Christopher James. "International collision regulations for automatic collision avoidance." Thesis, University of Plymouth, 1996. http://hdl.handle.net/10026.1/2270.
Full textEngelhardtsen, Øystein. "3D AUV Collision Avoidance." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9534.
Full textAn underlying requirement for any Autonomous Underwater Vehicle (AUV) is to navigate through unknown or partly unknown environments while performing certain user specified tasks. The loss of an AUV due to collision is unjustifiable both in terms of cost and replacement time. To prevent such an unfortunate event, one requires a robust and effective Collision Avoidance System (CAS). This paper discusses the collision avoidance problem for the HUGIN AUVs. In the first part, a complete simulator for the HUGIN AUV is implemented in matlab and simulink. This includes a 6 degrees-of-freedom nonlinear AUV model, simulated environment including bottom profile and surface ice, navigation- and guidance functionality and sensor simulators. In the second part a number of well known strategies for the collision avoidance problem is presented with a short analysis of their properties. On the basis of the implemented simulator, a proposed CAS is developed and it’s performance is analyzed. This system is based on simple principles and known collision avoidance strategies, in order to provide effective and robust performance. The proposed system provides feasible solutions during all simulations and the collision avoidance maneuvers are performed in accordance with the specified user demands. The developed simulator and collision avoidance system is expected to provide a suitable framework for further development and possibly a physical implementation on the HUGIN AUVs.
Tsoularis, A. "Collision avoidance in unstructured workspaces." Thesis, University of Reading, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360766.
Full textPhan, Long N. 1976. "Collision avoidance via laser rangefinding." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80045.
Full textIncludes bibliographical references (leaf 105).
by Long N. Phan.
S.M.
Agarwal, Megha, Alisha Bandekar, Ashley Kang, Tyler Martis, Hossein Namazyfard, Alan Yeh, Megha Agarwal, et al. "Automotive LiDAR Collision-Avoidance System." Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/624893.
Full textJansson, Jonas. "Collision avoidance theory with application to automotive collision mitigation /." Doctoral thesis, Linköping : Dept. of Electrical Enginering, Univ, 2005. http://www.bibl.liu.se/liupubl/disp/disp2005/tek950s.pdf.
Full textLoe, Øivind Aleksander G. "Collision Avoidance for Unmanned Surface Vehicles." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8866.
Full textConsiderable progress has been achieved in recent years with respect to autonomous vehicles. A good example is the DARPA Grand Challenge, a competition for autonomous ground vehicles. None of the competing vehicles managed to complete the challenge in 2004, but returning in 2005, a total of five vehicles were successful. Effective collision avoidance is a requirement for autonomous navigation, and even though much progress has been done, it still remains an open problem. The focus of this thesis is on the development of a collision avoidance system for unmanned surface vehicles (USVs), which is compliant with the International Regulations for Avoiding Collisions at Sea (COLREGS). The system is based on a modified version of the Dynamic Window algorithm, taking both acceleration and lateral speeds into account for reactive collision avoidance. Path planning is provided by the Rapidly-Exploring Random Tree (RRT) algorithm, extended to use the A* algorithm as a guide, which significantly increases its efficiency. Extensive simulations have been performed in order to determine the value of the modifications done to the original algorithms, as well as the performance of the total control system. Full-scale experiments have also been carried out in an attempt to verify the results from the simulations. The collision avoidance system performed very well during the simulations, finding near-optimal paths through the environment and evading other vessels in a COLREGS-compliant fashion. In the full-scale experiments, important sensor data was erroneous, resulting in reduced avoidance margins. However, the collision avoidance system still kept the controlled vessel safe, showing significant robustness.
Rennæs, Karsten Fernholt. "Wireless Positioning and Collision Avoidance System." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19205.
Full textStrömgren, Oliver. "Deep Learning for Autonomous Collision Avoidance." Thesis, Linköpings universitet, Datorseende, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-147693.
Full textLi, Huiying. "Visual cueing for collision avoidance system." Thesis, Cranfield University, 2012. http://dspace.lib.cranfield.ac.uk/handle/1826/7927.
Full textCoenen, Frans Pierre. "A rule based collision avoidance system." Thesis, Liverpool John Moores University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237820.
Full textHsieh, Pin-Chun. "Autonomous robotic wheelchair with collision-avoidance navigation." Texas A&M University, 2008. http://hdl.handle.net/1969.1/86037.
Full textMelega, Marco. "Autonomous Collision avoidance for Unmanned aerial systems." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/9251.
Full textBlackwell, Grahame Kenneth. "An expert systems approach to collision avoidance." Thesis, University of Plymouth, 1992. http://hdl.handle.net/10026.1/1773.
Full textVeldman, Kyle John. "Monocular vision for collision avoidance in vehicles." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101478.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (page 21).
An experimental study facilitated by Ford Global Technologies, Inc. on the potential substitution of stereovision systems in car automation with monocular vision systems. The monocular system pairs a camera and passive lens with an active lens. Most active lenses require linear actuating systems to adjust the optical parameters of the system but this experiment employed an Optotune focus tunable lens adjusted by a Lorentz actuator for a much more reliable system. Tests were conducted in a lab environment to capture images of environmental objects at different distances from the system, pass those images through an image processing algorithm operating a high-pass filter to separate in-focus aspects of the image from out-of focus ones. Although the system is in the early phases of testing, monocular vision shows the ability to replace stereovision system. However, additional testing must be done to acclimate the apparatus to environmental factors, minimize the processing speed, and redesign the system for portability.
by Kyle John Veldman.
S.B.
Asmar, Dylan M. (Dylan Mitchell). "Airborne collision avoidance in mixed equipage environments." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/82477.
Full textThis electronic version was submitted and approved by the author's academic department as part of an electronic thesis pilot project. The certified thesis is available in the Institute Archives and Special Collections.
"June 2013." Cataloged from department-submitted PDF version of thesis
Includes bibliographical references (p. 93-98).
Over the past few years, research has focused on the use of a computational method known as dynamic programming for producing an optimized decision logic for airborne collision avoidance. There have been a series of technical reports, conference papers, and journal articles summarizing the research, but they have primarily investigated two-aircraft encounters with only one aircraft equipped with a collision avoidance system. This thesis looks at recent research on coordination, interoperability, and multiple-threat encounters. In situations where an aircraft encounters another aircraft with a collision avoidance system, it is important that the resolution advisories provided to the pilots be coordinated so that both aircraft are not instructed to maneuver in the same direction. Interoperability is a related consideration since new collision avoidance systems will be occupying the same airspace as legacy systems. Resolving encounters with multiple intruders poses computational challenges that will be addressed in this thesis. The methodology presented in this thesis results in logic that is safer and performs better than the legacy Traffic Alert and Collision Avoidance System (TCAS). To assess the performance of the system, this thesis uses U.S. airspace encounter models. The results indicate that the proposed methodology can bring significant benefit to the current airspace and can support the need for safe, non-disruptive collision protection as the airspace continues to evolve.
by Dylan M. Asmar.
S.M.
Temizer, Selim 1977. "Planning under uncertainty for dynamic collision avoidance." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/64487.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 157-169).
We approach dynamic collision avoidance problem from the perspective of designing collision avoidance systems for unmanned aerial vehicles. Before unmanned aircraft can fly safely in civil airspace, robust airborne collision avoidance systems must be developed. Instead of hand-crafting a collision avoidance algorithm for every combination of sensor and aircraft configurations, we investigate automatic generation of collision avoidance algorithms given models of aircraft dynamics, sensor performance, and intruder behavior. We first formulate the problem within the Partially Observable Markov Decision Process (POMDP) framework, and use generic MDP/POMDP solvers offline to compute vertical-only avoidance strategies that optimize a cost function to balance flight-plan deviation with risk of collision. We then describe a second framework that performs online planning and allows for 3-D escape maneuvers by starting with possibly dangerous initial flight plans and improving them iteratively. Experimental results with four different sensor modalities and a parametric aircraft performance model demonstrate the suitability of both approaches.
by Selim Temizer.
Ph.D.
Barrios, Cesar. "Predicting Trajectory Paths For Collision Avoidance Systems." ScholarWorks @ UVM, 2015. http://scholarworks.uvm.edu/graddis/386.
Full textBarceló, Vicens Jaume. "Carrier sense multiple acces with enhanced collision avoidance." Doctoral thesis, Universitat Pompeu Fabra, 2009. http://hdl.handle.net/10803/7553.
Full textThis thesis suggests the use of a deterministic backoff after successful transmissions in the MAC protocol of WLANs. Since those stations that successfully transmitted in their last collision attempt cannot collide among them in their next transmission attempt, the number of collisions is reduced. Hence, the protocol is called Carrier Sense Multiple Access with Enhanced Collision Avoidance. The protocol is modelled and simulations are used to assess its performance in a variety of scenarios. It is concluded that the proposed protocol performs always equal or better than the legacy one.
Dönmez, Halit Anil. "Collision Avoidance for Virtual Crowds Using Reinforcement Learning." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210560.
Full textVirtuell folkmassimulering används i ett brett utbud av applikationersom videospel, arkitektoniska mönster och filmer. Det är viktigt förskaparna att ha en realistisk publik simulator som kommer att kunnagenerera publiken som behövs för att visa de beteenden som behövs. Det är viktigt att tillhandahålla ett lättanvänt verktyg för publikgenereringsom är snabb och realistisk. Förstärkt lärande föreslogs föratt utbilda en agent för att visa ett visst beteende. I denna avhandlingimplementerades en förstärkningslärande metod för att utvärderavirtuella folkmassor. Q Lärandemetod valdes som förstärkningslärningsmetod.Två olika versioner av Q-inlärningsmetoden genomfördes. Dessa olika versioner utvärderades med avseende på toppmodernaalgoritmer: Gensamma hastighetshinder och ett kopieringssyntestillvägagångssättbaserat på realtid. Utvärderingen av publiken gjordesmed en användarstudie. Resultaten från användarstudien visadeatt medan Reinforcement Learning-metoden inte uppfattas som verkligsom den verkliga publiken, uppfattades det nästan lika realistisktsom massorna genererade med Reciprocal Velocity Objects. Ett annatresultat var att uppfattningen av RVO förändras med den föränderligamiljön. När bara stigarna visades upplevdes det mer naturligt än närdet visades i en miljö i riktiga värld med fotgängare. Det drogs slutsatsenatt att använda Q Learning för att generera folkmassor är enlovande metod och kan förbättras som ett ersättare för befintliga metoderoch i vissa scenarier resulterar Q Learning algoritm med bättrekollisionsundvikande och mer realistisk publik simulering.
Eidehall, Andreas. "Tracking and threat assessment for automotive collision avoidance." Doctoral thesis, Linköping : Department of Electrical Engineering, Linköpings universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8338.
Full textHerb, Gregory M. "A real-time robot collision avoidance safety system." Thesis, This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-06082009-170801/.
Full textTan, Chiew Seon. "A collision avoidance system for autonomous underwater vehicles." Thesis, University of Plymouth, 2006. http://hdl.handle.net/10026.1/2258.
Full textSezgin, Umit. "Utilization of manipulator redundancies for collision avoidance strategies." Thesis, King's College London (University of London), 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283521.
Full textSanders, Christopher P. (Christopher Paul) 1973. "Real-time collision avoidance for autonomous air vehicles." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50325.
Full textLeavitt, Joseph William. "Intent-aware collision avoidance for autonomous marine vehicles." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/111893.
Full textThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 259-278).
Applications of autonomous marine vehicles in dynamic and uncertain environments continuously grow as research unveils new enabling technology and academic, commercial, and government entities pursue new marine autonomy concepts. The safe operation of these vehicles in the marine domain, which is currently dominated by human-operated vehicles, demands compliance with collision avoidance protocol, namely the International Regulations for Preventing Collisions at Sea (COLREGS). Strict application of this protocol can lead to a highly constrained motion planning problem, in which it is difficult for a vehicle to identify a safe and efficient motion plan. This thesis proposes a multi-objective optimization-based method for COLREGS-compliant autonomous surface vehicle collision avoidance in which vehicles use shared intent information, in addition to vehicle state information, to identify safe and efficient collision avoidance maneuvers. The proposed method uses intent information to relax certain COLREGS-specified constraints with the goal of providing sufficient maneuvering flexibility to enable improvements in safety and efficiency over a non-intent-aware system. In order to arrive at an intent-aware solution, this thesis explores the concept of intent, including intent formulations for the marine domain, intent communications, and the application of intent to the COLREGS-compliant motion planning problem. Two types of intent information are specifically evaluated: COLREGS mode intent, in which the give-way vessel in an overtaking or crossing scenario communicates its intent to maneuver in a certain direction with respect the stand-on vessel, and discrete trajectory intent in which vehicles communicate projected future positions. Simulations and on-water experiments demonstrate the feasibility of the proposed intent-aware method, as well as improvements in performance, in terms of both vehicle safety and mission efficiency, over a non-intent-aware, COLREGS-compliant collision avoidance method.
by Joseph William Leavitt.
Nav. E.
S.M.
Billingsley, Geoffrey O. (Geoffrey Owen) 1975. "Head-up display symbology for ground collision avoidance." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/50125.
Full textIncludes bibliographical references (p. 109-111).
Four predictive ground collision avoidance displays (Break-X, Chevrons, Mountain, and Highway) were tested using a fixed-base T-38 simulator with a projection screen and simulated Head-Up Display (HUD). The Break-X was similar to the conventional military alert except that it remained on the screen until the aircraft was recovered to safety. The Chevron display consisted of two caret symbols (> <) which slid horizontally inward as danger increased, forming an X identical to the break-X. The Mountain display used a single icon which moved upward in the HUD as danger increased, mimicking the motion of the terrain outside. The Highway was a preview display, which consisted of a perspective elevated surface shown at the desired altitude. Twelve subjects flew through a series of Predictive Ground Collision Avoidance System (PGCAS) situations in zero visibility using each display. For about 30 seconds after the alert, they attempted to maintain a set altitude above ground, clear of the terrain but below ground radar threats. Performance metrics were rolling tendency, altitude maintenance, pilot effort, and subjective preference. The Break-X performed more poorly than the other displays in every category. It attracted attention but proved to be impractical for the terrain-following/terrain-avoidance task. Pilots were able to spend only 40% of the flight time between the desired altitudes when given the Break-X, and on average, they crashed every 5 runs. The Chevrons were more useful, although their horizontal motion did not correspond to the outside world. The Chevrons and Mountain averaged only one crash in 12 runs. The vertically moving Mountain had physical analogue, so pilots found it more natural to follow. This enabled them to spend approximately 80% of the time between the altitude limits, while the Chevrons allowed 70%. The better altitude performance from the Mountain came at the cost of higher effort levels, as shown by a significant difference in RMS longitudinal stick movement. However, a false illusion of wings-level produced slightly poorer roll performance from the Mountain. Pilots crashed the least using the Highway, averaging about one crash per 50 runs. It enabled them to fly approximately 90% of the time within the desired altitude layer. The Highway produced the highest objective and subjective ranking, and its predictive nature made it the best display for the task investigated.
by Geoffrey O. Billingsley.
S.M.
Leavitt, Joseph William. "Intent-aware collision avoidance for autonomous marine vehicles." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111893.
Full textThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 259-278).
Applications of autonomous marine vehicles in dynamic and uncertain environments continuously grow as research unveils new enabling technology and academic, commercial, and government entities pursue new marine autonomy concepts. The safe operation of these vehicles in the marine domain, which is currently dominated by human-operated vehicles, demands compliance with collision avoidance protocol, namely the International Regulations for Preventing Collisions at Sea (COLREGS). Strict application of this protocol can lead to a highly constrained motion planning problem, in which it is difficult for a vehicle to identify a safe and efficient motion plan. This thesis proposes a multi-objective optimization-based method for COLREGS-compliant autonomous surface vehicle collision avoidance in which vehicles use shared intent information, in addition to vehicle state information, to identify safe and efficient collision avoidance maneuvers. The proposed method uses intent information to relax certain COLREGS-specified constraints with the goal of providing sufficient maneuvering flexibility to enable improvements in safety and efficiency over a non-intent-aware system. In order to arrive at an intent-aware solution, this thesis explores the concept of intent, including intent formulations for the marine domain, intent communications, and the application of intent to the COLREGS-compliant motion planning problem. Two types of intent information are specifically evaluated: COLREGS mode intent, in which the give-way vessel in an overtaking or crossing scenario communicates its intent to maneuver in a certain direction with respect the stand-on vessel, and discrete trajectory intent in which vehicles communicate projected future positions. Simulations and on-water experiments demonstrate the feasibility of the proposed intent-aware method, as well as improvements in performance, in terms of both vehicle safety and mission efficiency, over a non-intent-aware, COLREGS-compliant collision avoidance method.
by Joseph William Leavitt.
Nav. E.
S.M.
Li, Hao. "Decentralized Multi-Agent Collision Avoidance and Reinforcement Learning." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1618840664964088.
Full textWang, Yu. "Cooperative Transportation of Mobile Manipulators With Collision Avoidance." Thesis, KTH, Reglerteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231841.
Full textI det här arbetet föreslår vi två system för icke-linjär model predictivecontrol (NMPC), Decentraliserad icke-linjär MPC (DNMPC) och centraliseradicke-linjär MPC (CNMPC), för kooperativ transport av ettobjekt, som är fast greppad av N agenter . Vi använder feedbacklinjäriseringoch modellreduktion för att minska modellens övergripandekomplexitet. Vi tillhandahåller också ett matematiskt bevis för genomförbarhetoch konvergens av systemen. Slutligen använder vi simuleringaroch experiment för att validera de föreslagna systemens robusthetoch effektivitet.
Dravidam, Uttamkumar. "Development of rear-end collision avoidance in automobiles." FIU Digital Commons, 1999. http://digitalcommons.fiu.edu/etd/3084.
Full textDa, Silva Filho José Grimaldo. "Towards natural human-robot collaboration during collision avoidance." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALM003.
Full textClassical approaches for robot navigation among people have focused on guaranteed collision-free motion with the assumption that people are either static or moving obstacles. However, people are not ordinary obstacles. People react to the presence and the motion of a robot. In this context, a robot that behaves in human-like manner has been shown to reduce overall cognitive effort for nearby people as they do not have to actively think about a robot's intentions while moving on its proximity.Our work is focused on replicating a characteristic of human-human interaction during collision avoidance that is the mutual sharing of effort to avoid a collision. Based on hundreds of situations where two people have crossing trajectories, we determined how total effort is shared between agents depending on several factors of the interaction such as crossing angle and time to collision. As a proof of concept our generated model is integrated into gls{rvo}. For validation, the trajectories generated by our approach are compared to the standard gls{rvo} and to our dataset of people with crossing trajectories.Collaboration during collision avoidance is not without its potential negative consequences. For effective collaboration both agents have to pass each other on the same side. However, whenever the decision of which side collision should be avoided from is not consistent for people, the robot should also account for the risk that both agents will attempt to incorrectly cross each other on different sides. Our work first determines the uncertainty around this decision for people. Based on this, a collision avoidance approach is proposed so that, even if agents initially choose to incorrectly attempt to cross each other on different sides, the robot and the person would be able to perceive the side from which collision should be avoided in their following collision avoidance action. To validate our approach, several distinct scenarios where the crossing side decision is ambiguous are presented alongside collision avoidance trajectories generated by our approach in such scenarios
Anantharaman, Gokul Arvind. "Cooperative Collision Avoidance for Connected and Autonomous Vehicles." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1543424841946961.
Full textPatel, Amir. "UAV collision avoidance: a specific acceleration matching approach." Master's thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/11582.
Full textIncludes bibliographical references.
An increased level of autonomy is required for future Unmanned Aerial Vehicle (UAV) missions. One of the technologies required for this to occur is an adequate sense and avoid system to enable the UAV to detect threat aircraft and take evasive action if required. This thesis investigates a collision avoidance system to satisfy a significant portion of the requirements for sense and avoid. It was hypothesised that a recently published method of UAV guidance, Specific Acceleration Matching (SAM) Control, could address the shortcomings of the current implementations. Additionally, a novel algorithm, the Linear 3D Velocity Guidance Control Algorithm (3DVGC) was developed to address the particular requirements of UAV collision avoidance.
Syed, Anees. "Collision prediction and avoidance of satellites in formation." Cincinnati, Ohio : University of Cincinnati, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=ucin1100034591.
Full textHumphris, Les. "Software Defined Radio for Maritime Collision Avoidance Applications." Thesis, University of Canterbury. Electrical and Electronic Engineering, 2015. http://hdl.handle.net/10092/11217.
Full textRushall, David Aaron 1964. "Efficient heuristics for collision avoidance in three dimensions." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277041.
Full textMcfadyen, Aaron. "Visual control for automated aircraft collision avoidance systems." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/81418/1/Aaron_McFadyen_Thesis.pdf.
Full textNaik, Ankur. "Arc Path Collision Avoidance Algorithm for Autonomous Ground Vehicles." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/30969.
Full textMaster of Science
Sugiura, Hisashi [Verfasser]. "Real World Collision Avoidance for Humanoid Robots / Hisashi Sugiura." Aachen : Shaker, 2010. http://d-nb.info/1081885483/34.
Full textChafye, Nemri. "A collision avoidance algorithm for a cylindrical robot manipulator /." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61719.
Full textAlturbeh, Hamid. "Collision avoidance systems for UAS operating in civil airspace." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/9295.
Full textKalvå, Andreas. "Collision detection and avoidance system based on computer vision." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-24779.
Full textLindsay, K. W. "Secondary radar, collision avoidance and ship-to-ship communication." Thesis, Liverpool John Moores University, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332121.
Full textChen, J. R. "Planning plausible human motions for navigation and collision avoidance." Thesis, University College London (University of London), 2014. http://discovery.ucl.ac.uk/1418044/.
Full textKon, Tayfun. "Collision Warning and Avoidance System for Crest Vertical Curves." Master's thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/37169.
Full textMaster of Science
Farahmand, Ashil Sayyed. "Cooperative Decentralized Intersection Collision Avoidance Using Extended Kalman Filtering." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/36276.
Full textMaster of Science
Gang, Siqi. "Driver-Monitoring-Camera Based Threat Awareness for Collision Avoidance." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263926.
Full textFrontkollision (forward collision) är en av de vanligaste och farligaste typerna av trafikolyckor. Många studier och undersökningar har genomförts för att utveckla system för att undvika kollisioner. För att underlätta avvägningar mellan komfort och säkerhet för att undvika Frontkollision måste förarens tillstånd övervakas och skattas. Ett sådant stöd är nödvändigt för Forward Collision Warning (FCW) systemet, som involverar interaktion med människor. Efterfrågan på kamerabaserad uppskattning för föraren har ökat på grund av framsteg Driver Monitoring System (DMS). Det här examensarbete genomfördes på Zenuity AB och undersökte en metod för att skatta förarens medvetenhet baserad på Driver Monitoring System. Uppskattningen av förarens medvetenhet förväntas bidra till att anpassa FCW-systemet. Detta FCW-system är baserat på visuell uppmärksamhet om när oförutsägbar bromsning av det framförvarande fordonet sker. Examensarbetet består av tre uppgifter: blickuppskattning, Gaze-to-Object Mapping (GTOM), och medventenhetsuppskattning. Ett kombinerat Kalman-filter har utvecklats i gaze uppskattning för att kompensera saknade data och outliers samt reducera skillnaden till “ground truth” data. Osäkerhetesmatrisen från gaze uppskattningen användes för att extrahera en gaze-to-object sannolikhetssignal i GTOM. Den motsvarande fixeringsvaraktigheten erhålls också i GTOM. De två extraherade nya egenskaperna användes i medvetenhetsanalys med hjälp av två metoder: logistic regression och two-Hidden Markov Model. Jämförelsen mellan de två metoderna avslöjar om en komplex metod är att föredra eller inte. Resultatet av detta examensarbet visar att logistic regression fungerar bättre i förarens statusuppskattning med 92% noggrannhet och 76.3% True Negative rate. Vidare forskning och förbättringar av den two-hidden Markov modell behövs för att dra en mer omfattande slutsats. Det huvudsakliga bidraget av examensarbetet är en utforskning av en end-to-end metod för att uppskatta förarens medvetenhet och därmed kunna identifiera utmaningar för framtid studie.
DE, FILIPPIS LUCA. "Advanced Path Planning and Collision Avoidance Algorithms for UAVs." Doctoral thesis, Politecnico di Torino, 2012. http://hdl.handle.net/11583/2497102.
Full text