Relevant bibliographies by topics / Intelligent vehicles

Contents

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

Academic literature on the topic 'Intelligent vehicles'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Intelligent vehicles"

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Wang, Biyao, Yi Han, Di Tian, and Tian Guan. "Sensor-Based Environmental Perception Technology for Intelligent Vehicles." Journal of Sensors 2021 (September 2, 2021): 1–14. http://dx.doi.org/10.1155/2021/8199361.

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Environmental perception technology is the basis and premise of intelligent vehicle decision control of intelligent vehicles, a crucial link of intelligent vehicles to realize intelligence, and also the basic guarantee of its safety and intelligence. The accuracy and robustness of the perception algorithm will directly affect or even determine the realization of the upper function of intelligent vehicles. The wrong environmental perception will affect the control of the vehicle, thus causing safety risks. This paper discusses the intelligent vehicle perception technology and introduces the dev
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Xiong, Xiaoxia, Shiya Zhang, and Yuexia Chen. "Review of Intelligent Vehicle Driving Risk Assessment in Multi-Vehicle Interaction Scenarios." World Electric Vehicle Journal 14, no. 12 (2023): 348. http://dx.doi.org/10.3390/wevj14120348.

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With the rapid breakthroughs in artificial intelligence technology and intelligent manufacturing technology, automotive intelligence has become a research hotspot, and much progress has been made. However, a skeptical attitude is still held towards intelligent vehicles, especially when driving in a complex multi-vehicle interaction environment. The interaction among multi-vehicles generally involves more uncertainties in vehicle motion and entails higher driving risk, and thus deserves more research concerns and efforts. Targeting the safety assessment issue of complex multi-vehicle interactio
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Małek, Arkadiusz, Andrzej Marciniak, and Dariusz Kroczyński. "Defining Signatures for Intelligent Vehicles with Different Types of Powertrains." World Electric Vehicle Journal 16, no. 3 (2025): 135. https://doi.org/10.3390/wevj16030135.

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This article presents a straightforward and effective way of adding the Internet of Vehicles function to vehicles with different drive systems. By equipping the vehicle with a transmission device that communicates with the vehicle’s on-board diagnostics system, the current parameters of the vehicle’s operation can be read. This allows for wireless transmission to the application installed on the mobile device. The current parameters related to the vehicle’s operation together with the location data from the Global Positioning System on the mobile device are transferred to the cloud server. In
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Seth, Ishita, Kalpna Guleria, and Surya Narayan Panda. "Introducing Intelligence in Vehicular Ad Hoc Networks Using Machine Learning Algorithms." ECS Transactions 107, no. 1 (2022): 8395–406. http://dx.doi.org/10.1149/10701.8395ecst.

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The automotive industry has gained popularity in the past decade, leading to tremendous advancements in intelligent vehicular networks. The increase in the number of vehicles on the roads makes it essential for vehicles to act intelligently as humans do. The concept of machine learning is that when vehicles learn and improve to operate by the previously processed data. The machine learning techniques have helped the automotive industry develop the driverless car. With the help of sensors and cameras, it is quite possible to use the machine learning algorithms and provide the user with its bene
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Zhu, Guangyu, Fuquan Zhao, Haokun Song, and Zongwei Liu. "Cost Analysis of Vehicle-Road Cooperative Intelligence Solutions for High-Level Autonomous Driving: A Beijing Case Study." Journal of Advanced Transportation 2024 (January 23, 2024): 1–22. http://dx.doi.org/10.1155/2024/6170743.

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The development of the vehicle-road cooperative intelligence can effectively resolve the current technical impediment and cost quandary associated with high-level autonomous driving. Nevertheless, the intelligent infrastructure entails initial deployment costs and ongoing energy consumption and maintenance costs, necessitating a comprehensive and quantitative analysis of the costs of intelligent infrastructure and the corresponding changes in comprehensive costs. The cost evaluation model for the cooperative intelligent system is designed in this paper, considering the corresponding intelligen
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Su, Xiaozhi, Fangrong Chen, Bowei Li, Liangchen Liu, and Yun Xiang. "Analysis of Carbon Emissions in Heterogeneous Traffic Flow within the Influence Area of Highway Off-Ramps." Applied Sciences 13, no. 17 (2023): 9554. http://dx.doi.org/10.3390/app13179554.

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With the continuous advancements in electrification, connectivity, and intelligence in the automotive industry, the mixed traffic of vehicles with different levels of driving automation is changing the carbon emission characteristics in the impact areas of off-ramps on highways. Considering the insufficient research on the carbon emission characteristics of heterogeneous traffic flow in the downstream influence areas of highway off-ramps, this study applied a scenario analysis method. Furthermore, considering factors such as vehicle composition, road control, and platoon management, it establi
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Mishra, Risabh, M. Safa, and Aditya Anand. "Internet of Vehicles: Commencing Intellectual Hoarse Towards Self-Regulating Cars and Vehicular Clouds for Smart Transportation Structure [Vehicular Ad-Hoc Network: A Review and Application in the Internet of Vehicles]." International Journal of Engineering & Technology 7, no. 3.12 (2018): 545. http://dx.doi.org/10.14419/ijet.v7i3.12.16176.

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Recent advances in wireless communication technologies and automobile industry have triggered a significant research interest in the field of Internet of Vehicles over the past few years.The advanced period of the Internet of Things is guiding the development of conventional Vehicular Networks to the Internet of Vehicles.In the days of Internet connectivity there is need to be in safe and problem-free environment.The Internet of Vehicles (IoV) is normally a mixing of three networks: an inter-vehicleNetwork, an intra-vehicle network, and a vehicle to vehicle network.Based on idea of three netwo
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Zhang, Linan, Yizhe Wang, and Huaizhong Zhu. "Theory and Experiment of Cooperative Control at Multi-Intersections in Intelligent Connected Vehicle Environment: Review and Perspectives." Sustainability 14, no. 3 (2022): 1542. http://dx.doi.org/10.3390/su14031542.

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A heterogeneous traffic flow consists of regular vehicles, and intelligent connected vehicles having interactive functions is updating the composition of the current urban-road network traffic flow. It has been a growing trend and will continue to be so. Because of the urgent demand, the research focused on three main parts of cooperative control methods under intelligent connected vehicles environment, typical traffic control application scenarios and experimental validation in intelligent connected vehicles conditions, and intersection-oriented hybrid traffic control mechanism for urban road
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Gao, Fei, Xiaojun Ge, Jinyu Li, Yuze Fan, Yun Li, and Rui Zhao. "Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions." Sensors 24, no. 16 (2024): 5172. http://dx.doi.org/10.3390/s24165172.

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Highly integrated information sharing among people, vehicles, roads, and cloud systems, along with the rapid development of autonomous driving technologies, has spurred the evolution of automobiles from simple “transportation tools” to interconnected “intelligent systems”. The intelligent cockpit is a comprehensive application space for various new technologies in intelligent vehicles, encompassing the domains of driving control, riding comfort, and infotainment. It provides drivers and passengers with safety, comfort, and pleasant driving experiences, serving as the gateway for traditional au
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S, SreeChandra, Neeraja K, Naga Pulla Rao A, Bala Krishna K, and Siva Prasad K. "Intelligent Collision Prevention System for Enhanced Road Safety." International Journal for Modern Trends in Science and Technology 11, no. 03 (2025): 94–100. https://doi.org/10.5281/zenodo.15084870.

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With the increasing number of vehicles on the road, the frequency of accidents is also rising. Many of these accidents occur due to inaccurate estimation of nearby vehicles, driver distractions, or other factors that hinder focus while driving. To prevent such incidents, it is crucial not only to estimate the distance of surrounding vehicles accurately but also to take immediate corrective actions.This project focuses on accident prevention by implementing a system that continuously measures the distance between the driving vehicle and the object ahead. Based on the vehicle's current speed, th
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Dissertations / Theses on the topic "Intelligent vehicles"

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Aycard, Olivier. "Contribution to Perception for Intelligent Vehicles." Habilitation à diriger des recherches, Université de Grenoble, 2010. http://tel.archives-ouvertes.fr/tel-00545774.

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Perceiving or understanding the environment surrounding of a vehicle is a very important step in building driving assistant systems or autonomous vehicles. In this thesis, we focus on using laser scanner as a main perception sensor in context of dynamic outdoor environments. To solve this problem, we have to deal with 3 main tasks: (1) identify static part and dynamic entities moving in the environment, (2) use static part of the environment to build a map of the environment and localize the vehicle inside this map: this task is know as "Simultaneous Localization And Mapping" (SLAM) and finall
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Yamane, Hayato, Kazuya Tanaka, Nobutaka Kito, Daisuke Yamamoto, and Katashi Nagao. "Attentive Townvehicle : Communicating Personal Intelligent Vehicles." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2004. http://hdl.handle.net/2237/10353.

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Sörme, Jacob. "Intelligent Charging Algorithm for Electric Vehicles." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280808.

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Electric vehicles play an important role in creating a fossil free transport sector. Making the vehicles efficient involves many new areas outside the manufacturing process, such as chargers, power grids and electricity markets. This thesis models the charging of electric vehicles using a Markov Decision Process and uses Reinforcement Learning solution models to derive an intelligent charging algorithm. This algorithm can take concepts such as electricity price, battery degradation and electrical losses into account in order to minimise the overall operational costs, and add more value to the
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Graham, James. "Intelligent power management for unmanned vehicles." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/18026.

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Unmanned Air Vehicles (UAVs) are becoming more widely used in both military and civilian applications. Some of the largest UAVs have power systems equivalent to that of a military strike jet making power management an important aspect of their design. As they have developed, the amount of power needed for loads has increased. This has placed increase strain on the on-board generators and a need for higher reliability. In normal operation these generators are sized to be able to power all on-board systems with out overheating. Under abnormal operating conditions these generators may start to ov
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Li, Li Wang Fei-Yue. "Advanced motion control and sensing for intelligent vehicles." New York : Springer, 2007. http://www.myilibrary.com?id=113830.

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Nagao, Katashi, Kazutoshi Kozakai, Meguru Ito, Issei Naruta, and Shigeki Ohira. "Attentive Townvehicle Environment-Aware Personal Intelligent Vehicles." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2005. http://hdl.handle.net/2237/10371.

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Stephens, Michael. "Intelligent adaptive control of remotely operated vehicles." Thesis, University of Liverpool, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240889.

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Chamitoff, Gregory Errol. "Robust intelligent flight control for hypersonic vehicles." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/44275.

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Glenn, Bradley C. "Intelligent Control of Parallel Hybrid Electric Vehicles." The Ohio State University, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=osu1391600950.

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Ozgunalp, Umar. "Vision based lane detection for intelligent vehicles." Thesis, University of Bristol, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.691261.

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Most vehicle accidents are due to driver error or slow reaction time. To prevent or minimize the consequences of these accidents, Advanced Driver Assistance Systems (ADAS) are introduced and lane detection is one of the most important building blocks of ADAS. Thus, the main focus of this thesis is lane detection. In this thesis, initially, lane detection algorithms based on a single camera as a sensor are investigated and proposed. First, an Inverse Perspective Mapping (IPM) based lane detection algorithm is proposed, where the global lane orientation and lane connectivity in this direction is
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Books on the topic "Intelligent vehicles"

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Cheng, Hong. Autonomous Intelligent Vehicles. Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2280-7.

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Eskandarian, Azim. Handbook of Intelligent Vehicles. Springer London, 2012.

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Hebert, Martial H., Charles Thorpe, and Anthony Stentz, eds. Intelligent Unmanned Ground Vehicles. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6325-9.

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Engineers, Society of Automotive. Intelligent vehicles & transportation systems. SAE International, 2006.

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Engineers, Society of Automotive, and Intelligent Vehicle Initiative (U.S.). Technology, eds. Intelligent vehicles & transportation systems. Society of Automotive Engineers, 2006.

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Eskandarian, Azim. Handbook of intelligent vehicles. Springer, 2012.

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Eskandarian, Azim. Handbook of intelligent vehicles. Springer, 2012.

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Han, Qinglong, Sean McLoone, Chen Peng, and Baolin Zhang, eds. Intelligent Equipment, Robots, and Vehicles. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7213-2.

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Olaverri-Monreal, Cristina, Rosaldo J. F. Rossetti, and Fernando García-Fernández. Human Factors in Intelligent Vehicles. River Publishers, 2022. http://dx.doi.org/10.1201/9781003338475.

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Yu, Huafeng, Xin Li, Richard M. Murray, S. Ramesh, and Claire J. Tomlin, eds. Safe, Autonomous and Intelligent Vehicles. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97301-2.

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Book chapters on the topic "Intelligent vehicles"

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Broggi, Alberto, Alexander Zelinsky, Michel Parent, and Charles E. Thorpe. "Intelligent Vehicles." In Springer Handbook of Robotics. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-30301-5_52.

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Broggi, Alberto, Alex Zelinsky, Ümit Özgüner, and Christian Laugier. "Intelligent Vehicles." In Springer Handbook of Robotics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32552-1_62.

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Wang, Fei-Yue. "Intelligent Vehicles intelligent vehicle (IV) Technology intelligent vehicle (IV) technologies , Introduction." In Encyclopedia of Sustainability Science and Technology. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_928.

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Wang, Fei-Yue. "Intelligent Vehicles intelligent vehicle (IV) Technology intelligent vehicle (IV) technologies , Introduction." In Transportation Technologies for Sustainability. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5844-9_928.

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Wu, Wufei, Ryo Kurachi, Gang Zeng, Yuhao Wang, Hiroaki Takada, and Keqin Li. "Intelligent Connected Vehicles." In Cybersecurity and High-Performance Computing Environments. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003155799-10.

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Cheng, Hong. "The Framework of Intelligent Vehicles." In Autonomous Intelligent Vehicles. Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2280-7_3.

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Cheng, Hong. "Longitudinal Motion Control for Intelligent Vehicles." In Autonomous Intelligent Vehicles. Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2280-7_10.

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Cheng, Hong. "Introduction." In Autonomous Intelligent Vehicles. Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2280-7_1.

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Cheng, Hong. "The State-of-the-Art in the USA." In Autonomous Intelligent Vehicles. Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2280-7_2.

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Cheng, Hong. "Road Detection and Tracking." In Autonomous Intelligent Vehicles. Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2280-7_4.

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Conference papers on the topic "Intelligent vehicles"

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Yan, Danshu, Zhiguo Zhao, Kaichong Liang, and Qin Yu. "Cooperative Lane Change Control Based on Null-Space-Behavior for a Dual-Column Intelligent Vehicle Platoon." In SAE 2023 Intelligent and Connected Vehicles Symposium. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-7064.

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<div class="section abstract"><div class="htmlview paragraph">With the extension of intelligent vehicles from individual intelligence to group intelligence, intelligent vehicle platoons on intercity highways are important for saving transportation costs, improving transportation efficiency and road utilization, ensuring traffic safety, and utilizing local traffic intelligence [<span class="xref">1</span>]. However, there are several problems associated with vehicle platoons including complicated vehicle driving conditions in or between platoon columns, a high degree of
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Wenliang, Li, Li Huajian, and Zhou Wei. "Research on the Duties of Remote safety Inspector for Autonomous Commercial Vehicles." In SAE 2024 Intelligent and Connected Vehicles Symposium. SAE International, 2024. https://doi.org/10.4271/2024-01-7040.

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<div class="section abstract"><div class="htmlview paragraph">At present, autonomous commercial vehicles can automatically complete all transport services under limited conditions. Compared with traditional vehicles, autonomous vehicles have the characteristics of high electronic level and multiple control subjects. Remote driving safety inspector is an important guarantee for the safety application of unmanned vehicles at this stage. Whether the intelligent vehicle equipped with the driver or the safety inspector is an obvious feature to reflect the intelligence of the vehicle, a
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Lee, T. T. "Intelligent vehicles." In 2013 IEEE International Conference on System Science and Engineering (ICSSE). IEEE, 2013. http://dx.doi.org/10.1109/icsse.2013.6614652.

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Meng, Qiang, Li Bin, Wei Pan, and Haoqi Hu. "A Novel Test Platform for Automated Vehicles Considering the Interactive Behavior of Multi-Intelligence Vehicles." In WCX SAE World Congress Experience. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0921.

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<div class="section abstract"><div class="htmlview paragraph">With the popularity of automated vehicles, the future mixed traffic flow contains automated vehicles with different degrees of intelligence developed by other manufacturers. Therefore, simulating the interaction behavior of automated vehicles with varying levels of intelligence is crucial for testing and evaluating autonomous driving systems. Since the algorithm of traffic vehicles with various intelligence levels is difficult to obtain, it leads to hardships in quantitatively characterizing their interaction behaviors.
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Beyerl, Thomas, Bernard Ibru, Johnnie Williams, Imani Augusma, and Valentin Soloiu. "Location Sensor Fusion and Error Correction in Intelligent Vehicles." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-67084.

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Autonomous vehicles provide an opportunity to reduce highway congestion and emissions, while increasing highway safety. Intelligently routed vehicles will also be better integrated with existing traffic patterns, minimizing travel times. By reducing the time wasted in traffic; harmful emissions will consummately be reduced. Well-designed autonomous control systems provide for increased highway safety by reducing the frequency and severity of traffic accidents caused by driver error. In order to achieve this, a robust multi-layered control system must be designed, which minimizes the likelihood
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"1993 Intelligent Vehicles Symposium." In 1993 Intelligent Vehicles Symposium. IEEE, 1993. http://dx.doi.org/10.1109/ivs.1993.697289.

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Theisen, Bernard L. "The 16th annual intelligent ground vehicle competition: intelligent students creating intelligent vehicles." In IS&T/SPIE Electronic Imaging, edited by David P. Casasent, Ernest L. Hall, and Juha Röning. SPIE, 2009. http://dx.doi.org/10.1117/12.805883.

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Shen, Zhipeng, Chao Huang, Hailong Huang, et al. "The Emerging Intelligent Vehicles and Intelligent Vehicle Carriers Collaborative Systems." In 2024 IEEE Intelligent Vehicle Symposium (IV). IEEE, 2024. http://dx.doi.org/10.1109/iv55156.2024.10588476.

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LaRue, David A., Tom Tasky, Stephan Tarnutzer, and Jerry Lane. "Automotive Smart Vehicles & Functional Safety Applied to DoD Ground Vehicles." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3657.

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<title>ABSTRACT</title> <p>The application of advanced FEV Automotive Smart Vehicle<sup>©</sup> methods and technologies while maintaining functional safety compliance and how it applies to similar features, requirements and capabilities across the fleet of DoD combat and tactical vehicles will be discussed. The requirement of technologies for DoD autonomous ground vehicle including leader follower, automated convoy operations, and intelligent applique kit’ are common to those specified in the automotive industries. Intelligent vehicles can be advanced and impleme
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Theisen, Bernard L. "The 13thAnnual Intelligent Ground Vehicle Competition: intelligent ground vehicles created by intelligent teams." In Optics East 2005, edited by David P. Casasent, Ernest L. Hall, and Juha Röning. SPIE, 2005. http://dx.doi.org/10.1117/12.630181.

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Reports on the topic "Intelligent vehicles"

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Innocenti, Mario, Lorenzo Pollini, and Andrea Bracci. Intelligent Control Management of Autonomous Air Vehicles. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada463037.

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Grantner, Janos, Bradley J. Bazuin, Liang Dongl, Richard Hathaway, and Claudia Fajardo. WD 08: CBM-A Intelligent Vehicle Health Management System (IVHMS) for Light Tactical Vehicles. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada528800.

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Tayeb, Shahab. Intelligent Blind Crossings for Suburban and Rural Intersections. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2024.2351.

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Blind intersections in suburban and rural areas pose significant safety challenges due to limited visibility and inadequate infrastructure. This project proposes an innovative solution leveraging the Internet of Vehicles (IoV) paradigm, utilizing connected and autonomous vehicles (CAVs) for seamless communication to enhance safety at these intersections. The research focuses on developing a specialized Road-Side Unit (RSU) system equipped with a Virtual Traffic Light Algorithm implemented on a Field-Programmable Gate Array (FPGA). Key stakeholders, including transportation authorities, vehicle
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Tayeb, Shahab. Protecting Our Community from the Hidden Vulnerabilities of Today’s Intelligent Transportation Systems. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2132.

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The ever-evolving technology interwoven into the transportation industry leaves it frequently at risk for cyber-attacks. This study analyzes the security of a common in-vehicle network, the Controller Area Network (CAN), standard in most vehicles being manufactured today. Like many other networks, CAN comes with inherent vulnerabilities that leave CAN implementations at risk of being targeted by cybercriminals. Such vulnerabilities range from eavesdropping, where the attacker can read the raw data traversing the vehicle, to spoofing, where the attacker can place fabricated traffic on the netwo
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Konaev, Margarita, Ryan Fedasiuk, Jack Corrigan, et al. U.S. and Chinese Military AI Purchases. Center for Security and Emerging Technology, 2023. http://dx.doi.org/10.51593/20200090.

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This data brief uses procurement records published by the U.S. Department of Defense and China’s People’s Liberation Army between April and November of 2020 to assess, and, where appropriate, compare what each military is buying when it comes to artificial intelligence. We find that the two militaries are prioritizing similar application areas, especially intelligent and autonomous vehicles and AI applications for intelligence, surveillance and reconnaissance.
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Jones, Randolph M., Ron Arkin, and Nahid Sidki. Intelligent Terrain Analysis and Tactical Support System (ITATSS) for Unmanned Ground Vehicles. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada434526.

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Mahlberg, Justin, Jijo Matthew, Deborah Horton, Brian McGavic, Tim Wells, and Darcy Bullock. Intelligent Sidewalk De-icing and Pre-treatment with Connected Campus Maintenance Vehicles. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317572.

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Zhang, Yangjun. Unsettled Topics Concerning Flying Cars for Urban Air Mobility. SAE International, 2021. http://dx.doi.org/10.4271/epr2021011.

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Flying cars—as a new type of vehicle for urban air mobility (UAM)—have become an important development trend for the transborder integration of automotive and aeronautical technologies and industries. This article introduces the 100-year history of flying cars, examines the current research status for UAM air buses and air taxis, and discusses the future development trend of intelligent transportation and air-to-land amphibious vehicles. Unsettled Topics Concerning Flying Cars for Urban Air Mobility identifies the major bottlenecks and impediments confronting the development of flying cars, su
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Kulhandjian, Hovannes. Smart Robot Design and Implementation to Assist Pedestrian Road Crossing. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2353.

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This research focuses on designing and developing a smart robot to assist pedestrians with road crossings. Pedestrian safety is a major concern, as highlighted by the high annual rates of fatalities and injuries. In 2020, the United States recorded 6,516 pedestrian fatalities and approximately 55,000 injuries, with children under 16 being especially vulnerable. This project aims to address this need by offering an innovative solution that prioritizes real-time detection and intelligent decision-making at intersections. Unlike existing studies that rely on traffic light infrastructure, our appr
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Fowler, Camilla. Automation in transport - Leading the UK to a driverless future. TRL, 2021. http://dx.doi.org/10.58446/tawj9464.

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The gap between technology development and automated vehicle deployment has been underestimated and the challenges involved with delivering autonomy have been far greater and more complex than first envisaged. TRL believe that in order for the UK to achieve its potential for automation in transport, the following activities are key in overcoming these challenges: Develop a UK regulatory approval system that enables the safe and secure deployment of automated vehicles in the future. A flexible and responsive regulatory system is needed that can enable innovation by streamlining entry into emerg
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