Relevant bibliographies by topics / Autonomous behaviour

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Autonomous behaviour'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Autonomous behaviour"

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P, Santosh, Vignesh S, and Suresh S. "Multiple Behaviour In Autonomous Robotic Vehicle." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 1757–61. http://dx.doi.org/10.31142/ijtsrd11506.

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Devi, T. Kirthiga, Akshat Srivatsava, Kritesh Kumar Mudgal, Ranjnish Raj Jayanti, and T. Karthick. "Behaviour Cloning for Autonomous Driving." Webology 17, no. 2 (2020): 694–705. http://dx.doi.org/10.14704/web/v17i2/web17061.

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The objective of this project is to automate the process of driving a car. The result of this project will surely reduce the number of hazards happening everyday. Our world is in progress and self driving car is on its way to reach consumer‟s door-step but the big question still lies that will people accept such a car which is fully automated and driverless. The idea is to create an autonomous Vehicle that uses only some sensors (collision detectors, temperature detectors etc.) and camera module to travel between destinations with minimal/no human intervention. The car will be using a trained
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Nishiwaki, Koichi, James Kuffner, Satoshi Kagami, Masayuki Inaba, and Hirochika Inoue. "The experimental humanoid robot H7: a research platform for autonomous behaviour." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, no. 1850 (2006): 79–107. http://dx.doi.org/10.1098/rsta.2006.1921.

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This paper gives an overview of the humanoid robot ‘H7’, which was developed over several years as an experimental platform for walking, autonomous behaviour and human interaction research at the University of Tokyo. H7 was designed to be a human-sized robot capable of operating autonomously in indoor environments designed for humans. The hardware is relatively simple to operate and conduct research on, particularly with respect to the hierarchical design of its control architecture. We describe the overall design goals and methodology, along with a summary of its online walking capabilities,
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Di Paolo, Ezequiel A., and Hiroyuki Iizuka. "How (not) to model autonomous behaviour." Biosystems 91, no. 2 (2008): 409–23. http://dx.doi.org/10.1016/j.biosystems.2007.05.016.

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Huang, H. H. "Autonomous Behaviour in Automated Manufacturing Systems." International Journal of Advanced Manufacturing Technology 20, no. 5 (2002): 381–89. http://dx.doi.org/10.1007/s001700200167.

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Vandercammen, Leen, Joeri Hofmans, Peter Theuns, and Peter Kuppens. "On the Role of Specific Emotions in Autonomous and Controlled Motivated Behaviour." European Journal of Personality 28, no. 5 (2014): 437–48. http://dx.doi.org/10.1002/per.1968.

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In the present study, we study the effect of four specific emotions (i.e. happiness, relaxation, depression, and anxiety) on autonomous and controlled motivated behaviour. Drawing on the componential approach to emotions, we argue that because different emotions have a different action readiness—the readiness to engage with the environment—they also have a different impact on autonomous and controlled motivated behaviour. To test this hypothesis, we performed two studies. In the first one, 50 participants took part in an experience sampling study in which they reported their emotions (happines
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Shi, Yuan, Jeyhoon Maskani, Giandomenico Caruso, and Monica Bordegoni. "Explore User Behaviour in Semi-autonomous Driving." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (2019): 3871–80. http://dx.doi.org/10.1017/dsi.2019.394.

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AbstractThe control shifting between a human driver and a semi-autonomous vehicle is one of the most critical scenarios in the road-map of autonomous vehicle development. This paper proposes a methodology to study driver's behaviour in semi-autonomous driving with physiological-sensors-integrated driving simulators. A virtual scenario simulating take-over tasks has been implemented. The behavioural profile of the driver has been defined analysing key metrics collected by the simulator namely lateral position, steering wheel angle, throttle time, brake time, speed, and the take-over time. In ad
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Shuaau, Muhammed, Ka Fei Thang, and Nai Shyan Lai. "Autonomous Abnormal Behaviour Detection Using Trajectory Analysis." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (2019): 2403. http://dx.doi.org/10.11591/ijece.v9i4.pp2403-2415.

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<span lang="EN-GB">Abnormal behaviour detection has attracted signification amount of attention in the past decade due to increased security concerns around the world. The amount of data from surveillance cameras have exceeded human capacity and there is a greater need for anomaly detection systems for crime monitoring. This paper proposes a solution to this problem in a reception area context by using trajectory extraction through Gaussian Mixture Models and Kalman Filter for data association. Here, trajectory analysis was performed on extracted trajectories to detect four different ano
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Kobiela, Fanny, and Arnd Engeln. "Autonomous Emergency Braking Studies on Driver Behaviour." Auto Tech Review 1, no. 8 (2012): 34–38. http://dx.doi.org/10.1365/s40112-012-0106-9.

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Kobiela, Fanny, and Arnd Engeln. "Autonomous emergency braking studies on driver behaviour." ATZ worldwide 112, no. 10 (2010): 4–8. http://dx.doi.org/10.1007/bf03225144.

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Dissertations / Theses on the topic "Autonomous behaviour"

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Harvey, Inman. "The artificial evolution of adaptive behaviour." Thesis, University of Sussex, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282998.

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Radice, Gianmarco. "Behaviour based autonomy for single and multiple spacecraft." Thesis, University of Glasgow, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274186.

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López, y. López Fabiola. "Social power and norms : impact on agent behaviour." Thesis, University of Southampton, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273756.

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Jaafar, Jafreezal. "Reactive behaviour for autonomous virtual agents using fuzzy logic." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/8317.

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One of the fundamental aspects of a virtual environment is the virtual agents that inhabit them. In many applications, virtual agents are required to perceive input information from their environment and make decisions appropriate to their task based on their programmed reaction to those inputs. The research presented in this thesis focuses on the reactive behaviour of the agents. We propose a new control architecture to allow agents to behave autonomously in navigation tasks in unknown environments. Our behaviour-based architecture uses fuzzy logic to solve problems of agent control and actio
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Kofod-Petersen, Anders. "Adaptive Behaviour Based Robotics using On-Board Genetic Programming." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2002. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-247.

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<p>This thesis investigates the use of Genetic Programming (GP) to evolve controllers for an autonomous robot.</p><p>GP is a type of Genetic Algorithm (GA) using the Darwinian idea of natural selection and genetic recombination, where the individuals most often is represented as a tree-structure. The GP is used to evolve a population of possible solutions over many generations to solve problems.</p><p>The most common approach used today, to develop controllers for autonomous robots, is to employ a GA to evolve an Artificial Neural Network (ANN). This approach is most often used in simulation o
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Mirabeau, Laurent. "From autonomous strategic behaviour to emergent strategy: an exploratory study." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=86612.

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This dissertation reports findings from an exploratory study of the formation of emergent strategy (Mintzberg 1978; Mintzberg & Waters 1985) in large and complex organizations. The study tracks autonomous strategic behaviour (Burgelman, 1983b), which is theorized and shown to be an important precursor to emergent strategy, using a single case study covering a period of ten years at a large telecommunications company. Building on Bower and Burgelman's model (Bower, 1970; Burgelman, 1983a, 1983b, 1983c), the dissertation develops a process model for emergent strategy which features four key comp
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Gu, Dongbing. "Behaviour-based learning and fuzzy control of autonomous quadruped robots." Thesis, University of Essex, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400989.

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Nowacka, Diana. "Autonomous behaviour in tangible user interfaces as a design factor." Thesis, University of Newcastle upon Tyne, 2017. http://hdl.handle.net/10443/3708.

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This thesis critically explores the design space of autonomous and actuated artefacts, considering how autonomous behaviours in interactive technologies might shape and influence users’ interactions and behaviours. Since the invention of gearing and clockwork, mechanical devices were built that both fascinate and intrigue people through their mechanical actuation. There seems to be something magical about moving devices, which draws our attention and piques our interest. Progress in the development of computational hardware is allowing increasingly complex commercial products to be available t
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Choi, J. "Model checking for decision making behaviour of heterogeneous multi-agent autonomous system." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/8031.

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An autonomous system has been widely applied for various civil/military research because of its versatile capability of understanding high-level intent and direction of a surrounding environment and targets of interest. However, as autonomous systems can be out of control to cause serious loss, injury, or death in the worst case, the verification of their functionalities has got increasing attention. For that reason, this study is focused on the verification of a heterogeneous multi-agent autonomous system. The thesis first presents an overview of formal methods, especially focuses on model ch
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Lazarov, Kristiyan, and Badi Mirzai. "Behaviour-Aware Motion Planning for Autonomous Vehicles Incorporating Human Driving Style." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254224.

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This paper proposes a model to ensure safe and realistic human-robot interaction for an autonomous vehicle interacting with a human-driven vehicle, by incorporating the driving style of the human driver. The interaction is modeled as a game, where both agents try to maximize future rewards. The driving style of the human is captured via the role of the human driver in the game, capturing the fact that humans with different driving styles reason differently. The solution of the game is obtained using an numerical approximation and used by the autonomous vehicle to plan optimally ahead. The mode
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Books on the topic "Autonomous behaviour"

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Mooney, Declan Colm. A behaviour-based autonomous robot. The author], 1996.

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Skubch, Hendrik. Modelling and Controlling of Behaviour for Autonomous Mobile Robots. Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-00811-6.

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Governing lethal behavior in autonomous robots. Chapman & Hall/CRC Press, 2009.

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Behavior-based robotics. MIT Press, 1998.

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Frelinger, Dave. Proliferated autonomous weapons: An example of cooperative behavior. Rand, 1998.

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Marti, Jed. Cooperative autonomous behavior of aggregate units over large scale terrain. Rand, 1990.

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Evolutionary swarm robotics: Evolving self-organising behaviours in groups of autonomous robots. Springer, 2008.

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Wilson, Peter Lamborn. T.A.Z.: The temporary autonomous zone, ontological anarchy, poetic terrorism. Autonomedia, 1991.

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Wilson, Peter Lamborn. T.A.Z.: The temporary autonomous zone, ontological anarchy, poetic terrorism. 2nd ed. Autonomedia, 2004.

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Wilson, Peter Lamborn. T.A.Z.: The temporary autonomous zone, ontological anarchy, poetic terrorism. 2nd ed. Autonomedia, 2003.

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Book chapters on the topic "Autonomous behaviour"

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Hitchins, Derek. "Autonomous Systems Behaviour." In Complex Systems Design & Management. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25203-7_3.

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Jones, Simon, Matthew Studley, Sabine Hauert, and Alan Winfield. "Evolving Behaviour Trees for Swarm Robotics." In Distributed Autonomous Robotic Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73008-0_34.

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Harris, Christopher M., and Jonathan Waddington. "Biomimetics of Choice Behaviour for Autonomous Agents." In Advances in Autonomous Robotics. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32527-4_9.

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Akinalp, Coskun, and Herwig Unger. "Node Behaviour Driven Network Topology Adaption." In Autonomous Systems: Developments and Trends. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24806-1_18.

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Kiekbusch, Lisa, Christopher Armbrust, and Karsten Berns. "Formal Verification of Behaviour Networks Including Hardware Failures." In Intelligent Autonomous Systems 13. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08338-4_113.

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Chen, Jianing, and Roderich Groß. "Cooperative Multi-robot Box Pushing Inspired by Human Behaviour." In Towards Autonomous Robotic Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23232-9_37.

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Mwaura, Jonathan, and Ed Keedwell. "Evolving Modularity in Robot Behaviour Using Gene Expression Programming." In Towards Autonomous Robotic Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23232-9_43.

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Wortham, Robert H., Andreas Theodorou, and Joanna J. Bryson. "Robot Transparency: Improving Understanding of Intelligent Behaviour for Designers and Users." In Towards Autonomous Robotic Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64107-2_22.

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O’Keeffe, James, Danesh Tarapore, Alan G. Millard, and Jon Timmis. "Towards Fault Diagnosis in Robot Swarms: An Online Behaviour Characterisation Approach." In Towards Autonomous Robotic Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64107-2_31.

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de Lioncourt, Sorabain Wolfheart, and Michael Luck. "Towards Requirements Analysis for Autonomous Agent Behaviour." In From Theory to Practice in Multi-Agent Systems. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45941-3_19.

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Conference papers on the topic "Autonomous behaviour"

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Volna, Eva, Martin Kotyrba, Martin Zacek, and Adam Barton. "Emergence Of An Autonomous Robot‘s Behaviour." In 29th Conference on Modelling and Simulation. ECMS, 2015. http://dx.doi.org/10.7148/2015-0462.

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Anane, Rachid. "Autonomic Behaviour in QoS Management." In Third International Conference on Autonomic and Autonomous Systems (ICAS'07). IEEE, 2007. http://dx.doi.org/10.1109/conielecomp.2007.60.

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Warwick, K. "Behaviour and learning in completely autonomous mobile robots." In IEE Colloquium on Design and Development of Autonomous Agents. IEE, 1995. http://dx.doi.org/10.1049/ic:19951353.

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Hunter, J. E., D. M. Wilkes, D. T. Levin, C. Heaton, and M. M. Saylor. "Autonomous segmentation of human action for behaviour analysis." In 2008 7th IEEE International Conference on Development and Learning (ICDL 2008). IEEE, 2008. http://dx.doi.org/10.1109/devlrn.2008.4640838.

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Rodrigues, Maradona, Andrew McGordon, Graham Gest, and James Marco. "Adaptive tactical behaviour planner for autonomous ground vehicle." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737631.

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Nauth, Peter. "Experience driven adaptive behaviour of autonomous humanoid robots." In AFRICON 2011. IEEE, 2011. http://dx.doi.org/10.1109/afrcon.2011.6072029.

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Tadewos, Tadewos G., Laya Shamgah, and Ali Karimoddini. "Automatic Safe Behaviour Tree Synthesis for Autonomous Agents." In 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, 2019. http://dx.doi.org/10.1109/cdc40024.2019.9030183.

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Schlegel, Tino, Peter Braun, and Ryszard Kowalczyk. "Towards autonomous mobile agents with emergent migration behaviour." In the fifth international joint conference. ACM Press, 2006. http://dx.doi.org/10.1145/1160633.1160739.

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David, Bence, Gergo Lancz, and Gergely Hunyady. "Real-time Behaviour Planning Concept for Autonomous Vehicles." In 2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2019. http://dx.doi.org/10.1109/sami.2019.8782771.

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Sprague, Christopher Iliffe, Ozer Ozkahraman, Andrea Munafo, Rachel Marlow, Alexander Phillips, and Petter Ogren. "Improving the Modularity of AUV Control Systems using Behaviour Trees." In 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV). IEEE, 2018. http://dx.doi.org/10.1109/auv.2018.8729810.

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Reports on the topic "Autonomous behaviour"

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Lockery, Shawn R. Noise-Tolerant Neural Networks Controlling Adaptive Behavior in Autonomous Agents. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada327443.

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Edwards, Dean B., John Canning, and Joel Alberts. Developing Autonomous Vehicles That Learn to Navigate by Mimicking Human Behavior. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada456805.

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Davis, Justin, and Ronald C. Arkin. Mobbing Behavior and Deceit and its Role in Bioinspired Autonomous Robotic Agents. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada561149.

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Arkin, Ronald C., Damian Lyons, Shu Jiang, Prem Nirmal, and Munzir Zafar. Getting it Right the First Time: Predicted Performance Guarantees from the Analysis of Emergent Behavior in Autonomous and Semi-autonomous Systems. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada558941.

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Balali, Vahid, Arash Tavakoli, and Arsalan Heydarian. A Multimodal Approach for Monitoring Driving Behavior and Emotions. Mineta Transportation Institute, 2020. http://dx.doi.org/10.31979/mti.2020.1928.

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Studies have indicated that emotions can significantly be influenced by environmental factors; these factors can also significantly influence drivers’ emotional state and, accordingly, their driving behavior. Furthermore, as the demand for autonomous vehicles is expected to significantly increase within the next decade, a proper understanding of drivers’/passengers’ emotions, behavior, and preferences will be needed in order to create an acceptable level of trust with humans. This paper proposes a novel semi-automated approach for understanding the effect of environmental factors on drivers’ e
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