Relevant bibliographies by topics / Automobile navigation systems

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

Academic literature on the topic 'Automobile navigation systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Automobile navigation systems"

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Kobayashi, Kiyoshi, Se-il Mun, and Hirokazu Tatano. "Economic Evaluation of Information Systems for Automobile Navigation." Doboku Gakkai Ronbunshu, no. 506 (1995): 77–86. http://dx.doi.org/10.2208/jscej.1995.77.

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Park, Eunil, Ki Joon Kim, and Sang Jib Kwon. "Evaluation of automobile navigation systems with multisensory information channels." Behaviour & Information Technology 36, no. 10 (May 4, 2017): 1014–19. http://dx.doi.org/10.1080/0144929x.2017.1323233.

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., Murugadass, P. Sheela Gowr, M. Latha, and U. V. Anbazhagu. "IOT connected predictive vehicle systems." International Journal of Engineering & Technology 7, no. 2.21 (April 20, 2018): 391. http://dx.doi.org/10.14419/ijet.v7i2.21.12449.

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Predictive maintenance is to identify vehicle maintenance issues before they occur. By leveraging data from navigation locator and motion of vehicle, status and parts of the vehicle, requirement of service, warranty repairs with current vehicle sensor data would be difficult for a human to discover. Predictive data analytics can find meaningful correlations via Connected Vehicle which is a technological advancement in Automobile industry. Using Internet of Things IOT, various information like health information of a driving person and navigation of vehicle can be easily monitored. Connected vehicle deals with cars and other vehicles where we the data will be shared with the backed applications like micro services.
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Dingus, Thomas A., and Melissa C. Hulse. "Some human factors design issues and recommendations for automobile navigation information systems." Transportation Research Part C: Emerging Technologies 1, no. 2 (June 1993): 119–31. http://dx.doi.org/10.1016/0968-090x(93)90009-5.

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Coaplen, Joshua P., Patrick Kessler, Oliver M. O'Reilly, Dan M. Stevens, and J. Karl Hedrick. "On Navigation Systems for Motorcycles: The Influence and Estimation of Roll Angle." Journal of Navigation 58, no. 3 (August 19, 2005): 375–88. http://dx.doi.org/10.1017/s037346330500336x.

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Vehicle navigation systems use various sensors and the global positioning system (GPS) to locate a vehicle. This location is then matched to a map database to provide navigation information. Between GPS updates, the vehicle's heading angle and forward speed are used to “dead reckon” its position. Heading angle is often measured by integrating the output of a rate gyroscope. For this measurement to be equal to the vehicle's heading angle, the vehicle should not experience any rotation about its roll or pitch axes. For an automobile, the roll and pitch angles are small and may be neglected for the purposes of navigation. This article demonstrates that this same assumption is not true for a motorcycle. Through simulation, it is shown that for a motorcycle, obtaining a meaningful heading angle from a single angular rate measurement requires accounting for the motorcycle's roll angle. Methods to estimate roll angle and heading angle from available navigation measurements are presented, and two possible sensor configurations are compared. A motorcycle navigation scheme based on these roll angle estimation methods is shown to produce exceptional results in a simulation environment.
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Loring, Beth A., Michael E. Wiklund, and Clark Smith. "Menu System Suited to Novice and Experienced Users of an Automobile Navigation System." Proceedings of the Human Factors Society Annual Meeting 36, no. 5 (October 1992): 490–93. http://dx.doi.org/10.1177/154193129203600504.

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Computer-based products require designers to make trade-offs between the product's initial and long term ease of use. The trade-off decisions are particularly important in the design of a computer-based automobile navigation system (ANS). An ANS designed for the mass market must serve the needs of both first time users, such as rental car drivers, and those who may purchase cars equipped with the device and use it on a daily basis. In our efforts to design the user interface to an ANS, we sought a means to protect new users from advanced functions that would frustrate the early learning experience. At the same time, we sought a smooth method for everyday users to access advanced functions. In this paper, we briefly explain automobile navigation systems, and then discuss our design solution.
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Williams, George M. "Optimization of eyesafe avalanche photodiode lidar for automobile safety and autonomous navigation systems." Optical Engineering 56, no. 3 (March 28, 2017): 031224. http://dx.doi.org/10.1117/1.oe.56.3.031224.

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Sivalingam, Kesavakumar, Siva Priya Thiagarajah, and Azwan Mahmud. "Life Case: Inelastic Collision based Automobile Crash Detection and Alert System via 3G Network." Journal of Engineering Technology and Applied Physics 2, no. 1 (June 17, 2020): 7–14. http://dx.doi.org/10.33093/jetap.2020.2.1.2.

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Accident detection and alert systems that can pinpoint the whereabouts of an accident are crucial to ensure the concerned authorities are informed instantaneously about the occurrence of an accident, in order for the deployment of emergency response to save lives in the least amount of time. A 3G incorporated accident detection system, known as Life Case is designed to discover the accidents between automobiles and, send the timestamp, and the actual position of an accident, to a developed android application built using Android Studio, via a cloud database. The alert message is presented using Google Maps which helps user to save plenty of time through easy navigation feature towards the accident location. Life Case measures the acceleration of an automobile during a collision using the Theory of Inelastic Collision.
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Han, Jong-Ho, and Hyun-Woo Kim. "Lane Detection Algorithm Using LRF for Autonomous Navigation of Mobile Robot." Applied Sciences 11, no. 13 (July 5, 2021): 6229. http://dx.doi.org/10.3390/app11136229.

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This paper proposes a lane detection algorithm using a laser range finder (LRF) for the autonomous navigation of a mobile robot. There are many technologies for ensuring the safety of vehicles, such as airbags, ABS, and EPS. Further, lane detection is a fundamental requirement for an automobile system that utilizes the external environment information of automobiles. Representative methods of lane recognition are vision-based and LRF-based systems. In the case of a vision-based system, the recognition of the environment of a three-dimensional space becomes excellent only in good conditions for capturing images. However, there are so many unexpected barriers, such as bad illumination, occlusions, vibrations, and thick fog, that the vision-based method cannot be used for satisfying the abovementioned fundamental requirement. In this paper, a three-dimensional lane detection algorithm using LRF that is very robust against illumination is proposed. For the three-dimensional lane detection, the laser reflection difference between the asphalt and the lane according to color and distance has been utilized with the extraction of feature points. Further, a stable tracking algorithm is introduced empirically in this research. The performance of the proposed algorithm of lane detection and tracking has been experimentally verified.
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Heußlein, Edith, Blair W. Patullo, and David L. Macmillan. "Robot navigation: implications from search strategies in exploring crayfish." Robotica 28, no. 3 (May 26, 2009): 465–75. http://dx.doi.org/10.1017/s0263574709005785.

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SUMMARYBiomimetic applications play an important role in informing the field of robotics. One aspect is navigation – a skill automobile robots require to perform useful tasks. A sub-area of this is search strategies, e.g. for search and rescue, demining, exploring surfaces of other planets or as a default strategy when other navigation mechanisms fail. Despite that, only a few approaches have been made to transfer biological knowledge of search mechanisms on surfaces along the ground into biomimetic applications. To provide insight for robot navigation strategies, this study describes the paths a crayfish used to explore terrain. We tracked movement when different sets of sensory input were available. We then tested this algorithm with a computer model crayfish and concluded that the movement of C. destructor has a specialised walking strategy that could provide a suitable baseline algorithm for autonomous mobile robots during navigation.
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Dissertations / Theses on the topic "Automobile navigation systems"

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Dingus, Thomas A. "Attentional demand evaluation for an automobile moving-map navigation system." Diss., Virginia Tech, 1987. http://hdl.handle.net/10919/53632.

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A study was undertaken to test and evaluate the human factors design aspects of an automobile moving-map navigation system. The primary objective of the study was to assess the driver attentional demand required by the navigation system during vehicle operation. A secondary objective of the study was to assess design specifics and determine whether or not the design was optimal in terms of efficiency of use in an automotive environment. Thirty-two driver-subjects drove a specially instrumented 1985 Cadillac Sedan de Ville on public roadways for this research. A cross-section of driver-subjects (both genders, ages 18 to 73, and driving experience from 2,000 to 40,000 miles per year) participated, and a cross·section of roadway types (residential, two-lane state route, and limited·access four-lane) and traffic conditions (light and moderate) were used as part of this research. The driver-subjects were asked to perform a variety of tasks while operating the research vehicle. These tasks included navigation tasks normally performed while using the navigation system, as well as a wide variety of conventional automotive tasks (e.g., tuning the radio or reading the speedometer) normally performed during vehicle operation. The purpose of asking the driver-subjects to perform a variety of conventional automotive tasks was so that direct comparisons in attentional demand could be made between tasks performed daily in an automotive environment and the navigation tasks. Twenty-one performance and behavioral measures were collected and analyzed for this research. These measures included eye—scanning and dwell-time measures, task-completion-time measures, and a variety of measures indicating driver performance and behavior. The data analyses for these measures focused on two major goals. First, the analyses determined which tasks (both navigator and conventional) required the highest attentional demand. Second, the analyses were used to determine groups of tasks which, for all practical purposes, required equivalent attentional demand. The results of the analyses indicated that the navigation system is a relatively effective device, useful for its intended purpose. The results also indicated that a number of design improvements are required, however, to optimize the safety and efficiency of the device. An iterative process of design improvement and further research into the effects of improved design on required attentional demand is therefore recommended.
Ph. D.
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Devine, M. L. "A dead-reckoning system for automobile navigation." Thesis, Cranfield University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309666.

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Zhu, Weihua. "Design and development of novel routing methodologies for dynamic roadway navigation systems." Diss., [Riverside, Calif.] : University of California, Riverside, 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3350082.

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Thesis (Ph. D.)--University of California, Riverside, 2009.
Includes abstract. Available via ProQuest Digital Dissertations. Title from first page of PDF file (viewed March 12, 2010). Includes bibliographical references (p. ). Also issued in print.
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Ngai, Chi-kit. "Reinforcement-learning-based autonomous vehicle navigation in a dynamically changing environment." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B39707386.

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Travis, William E. Bevly David M. "Methods for minimizing navigation errors induced by ground vehicle dynamics." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Spring/master's/TRAVIS_WILLIAM_14.pdf.

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Chen, Qi. "Studies in autonomous ground vehicle control systems structure and algorithms /." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1165959992.

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Ngai, Chi-kit, and 魏智傑. "Reinforcement-learning-based autonomous vehicle navigation in a dynamically changing environment." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39707386.

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Kubička, Matěj. "Constrained Time-Dependent Adaptive Eco-Routing Navigation System." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS434/document.

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L'éco-routage est une méthode de navigation du véhicule qui sélectionne les trajets vers une destination minimisant la consommation de carburant, la consommation d'énergie ou les émissions de polluants. C'est l'une des techniques qui tentent de réduire les coûts d'exploitation et l'empreinte environnementale du véhicule. Ce travail passe en revue les méthodes actuelles d'éco-routage et propose une nouvelle méthode pour pallier leurs insuffisances. La plupart des méthodes actuelles attribuent à chaque route du réseau routier un coût constant qui représente la consommation du véhicule ou la quantité de polluants émis. Un algorithme de routage optimal est ensuite utilisé pour trouver le chemin qui minimise la somme de ces coûts. Différentes extensions sont considérées dans la littérature. L'éco-routage contraint permet d'imposer des limites sur le temps de trajet, la consommation d'énergie et les émissions de polluants. L'éco-routage dépendant du temps permet le routage sur un graphique avec des coûts qui sont fonction du temps. L'éco-routage adaptatif permet de mettre à jour la solution d'éco-routage au cas où elle deviendrait invalide en raison d'un développement inattendu sur la route. Il existe des méthodes d'éco-routage optimales publiées qui résolvent l'éco-routage dépendant du temps ou l'éco-routage contraint ou l'éco-routage adaptatif. Chacun vient avec des frais généraux de calcul considérablement plus élevés par rapport à l'éco-routage standard et, à la connaissance de l'auteur, aucune méthode publiée ne prend en charge la combinaison des trois: éco-routage adaptatif dépendant du temps contraint. On soutient dans ce travail que les coûts d'acheminement sont incertains en raison de leur dépendance au trafic immédiat autour du véhicule, du comportement du conducteur et d'autres perturbations. Il est en outre soutenu que puisque ces coûts sont incertains, il y a peu d'avantages à utiliser un routage optimal car l'optimalité de la solution ne tient que tant que les coûts de routage sont corrects. Au lieu de cela, une méthode d'approximation est proposée dans ce travail. La charge de calcul est plus faible car la solution n'est pas requise pour être optimale. Cela permet l'éco-routage adaptatif dépendant du temps contraint
Eco-routing is a vehicle navigation method that selects those paths to a destination that minimize fuel consumption, energy consumption or pollutant emissions. It is one of the techniques that attempt to lower vehicle's operational cost and environmental footprint. This work reviews the current eco-routing methods and proposes a new method designed to overcome their shortcomings. Most current methods assign every road in the road network some constant cost that represents either vehicle's consumption there or the amount of emitted pollutants. An optimal routing algorithm is then used to find the path that minimizes the sum of these costs. Various extensions are considered in the literature. Constrained eco-routing allows imposing limits on travel time, energy consumption, and pollutant emissions. Time-dependent eco-routing allows routing on a graph with costs that are functions of time. Adaptive eco-routing allows updating the eco-routing solution in case it becomes invalid due to some unexpected development on the road. There exist published optimal eco-routing methods that solve either the time-dependent eco-routing, or constrained eco-routing, or adaptive eco-routing. Each comes with considerably higher computational overhead with respect to the standard eco-routing and, to author's best knowledge, no published method supports the combination of all three: constrained time-dependent adaptive eco-routing. It is argued in this work that the routing costs are uncertain because of their dependence on immediate traffic around the vehicle, on driver's behavior, and other perturbations. It is further argued that since these costs are uncertain, there is little benefit in using optimal routing because the optimality of the solution holds only as long as the routing costs are correct. Instead, an approximation method is proposed in this work. The computational overhead is lower since the solution is not required to be optimal. This enables the constrained time-dependent adaptive eco-routing
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Kang, Yue. "Sensor-based navigation for robotic vehicles by interaction of human driver and embedded intelligent system." Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2291.

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Cette thèse présente une méthode de navigation autonome d’un véhicule routier robotisé dans un contexte de l’interaction conducteur - véhicule, dans lequel le conducteur humain et le système de navigation autonome coopèrent dans le but d’associer les avantages du contrôle manuel et automatique. La navigation du véhicule est réalisée en parallèle par le conducteur humain et le système de conduite automatique, basée sur la perception de l’environnement. La navigation coopérative est basée sur l’analyse et correction des gestes du conducteur humain par le système intelligent, dans le but d’exécuter une tâche de navigation locale qui concerne le suivie de voie avec évitement d’obstacles. L’algorithme d’interaction humain-véhicule est basé sur des composants de navigation référencée capteurs formés par des contrôleurs d’asservissement visuel (VS) et la méthode d’évitement d’obstacle « Dynamic Window Approach (DWA) » basée sur la grilles d’occupation. Ces méthodes prennent en entrée la perception de l’environnement fournie par des capteurs embarqués comprenant un système monovision et un LIDAR. Dû à des impossibilités techniques/légales, nous n’avons pas pu valider nos méthodes sur notre véhicule robotisé (une Renault Zoé robotisée), ainsi nous avons construit des structures « driver-in-theloop » dans des environnements de simulation Matlab et SCANeRTM Studio. En Matlab, le conducteur humain est modélisé par un algorithme appelé « Human Driver Behaviour controller (HDB) », lequel génère des gestes de conduite dangereux dans la partie manuelle de l’entrée de commande du système coopératif. En SCANeR Studio, la sortie de l’HDB est remplacée par des commandes manuelles générées directement par un conducteur humain dans l’interface utilisateur du simulateur. Des résultats de validation dans les deux environnements de simulation montrent la faisabilité et la performance du système de navigation coopérative par rapport aux tâches de suivie de voie, l’évitement d’obstacles et le maintien d’une distance de sécurité
This thesis presents an approach of cooperative navigation control pattern for intelligent vehicles in the context of human-vehicle interaction, in which human driver and autonomous servoing system cooperate for the purpose of benefiting from mutual advantages of manual and auto control. The navigation of the vehicle is performed in parallel by the driver and the embedded intelligent system, based on the perception of the environment. The cooperative framework we specify concerns the analysis and correction of the human navigation gestures by the intelligent system for the purpose of performing local navigation tasks of road lane following with obstacle avoidance. The human-vehicle interaction algorithm is based on autonomous servoing components as Visual Servoing (VS) controllers and obstacle avoidance method Dynamic Window Approach (DWA) based on Occupancy Grid, which are supported by the environment perception performed carried out by on-boarded sensors including a monovision camera and a LIDAR sensor. Given the technical/legal impossibility of validating our interaction method on our robotic vehicle (a robotic Renault Zoé), the driver-in-the-loop structures of system are designed for simulative environment of both Matlab and SCANeRTM Studio. In Matlab environment human driver is modeled by a code-based Human Driver Behaviour (HDB) Controller, which generates potential dangerous behaviors on purpose as manual control of the cooperative system. In SCANeR Studio environment the HDB is replaced by real-time manual command (a real human driver) via driving interface of this simulator. Results of simulative validation show the feasibility and performance of the cooperative navigation system with respect to tasks of driving security including road lane following, obstacle avoidance and safe distance maintenance
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Zinoune, Clément. "Autonomous integrity monitoring of navigation maps on board intelligent vehicles." Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP1972/document.

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Les véhicules dits intelligents actuellement développés par la plupart des constructeurs automobiles, ainsi que les véhicules autonomes nécessitent des informations sur le contexte dans lequel ils évoluent. Certaines de ces informations (par exemple la courbure de la route, la forme des intersections, les limitations de vitesses) sont fournies en temps réel par le système de navigation qui exploite les données de cartes routières numériques. Des défauts résultant de l’évolution du réseau routier ou d’imprécisions lors de la collecte de données peuvent être contenus dans ces cartes numériques et entraîner le dysfonctionnement des systèmes d’aide à la conduite. Les recherches menées dans cette thèse visent à rendre le véhicule capable d’évaluer, de manière autonome et en temps réel, l’intégrité des informations fournies par son système de navigation. Les véhicules de série sont désormais équipés d’un grand nombre de capteurs qui transmettent leurs mesures sur le réseau central interne du véhicule. Ces données sont donc facilement accessibles mais de faible précision. Le défi de cette thèse réside donc dans l’évaluation de l’intégrité des informations cartographiques malgré un faible degré de redondance et l’absence de données fiables. On s’adresse à deux types de défauts cartographiques : les défauts structurels et les défauts géométriques. Les défauts structurels concernent les connections entre les routes (intersections). Un cas particulier de défaut structurel est traité : la détection de ronds-points qui n’apparaissent pas dans la carte numérique. Ce défaut est essentiel car il est fréquent (surtout en Europe) et perturbe le fonctionnement des aides à la conduite. Les ronds-points sont détectés à partir de la forme typique de la trajectoire du véhicule lorsqu’il les traverse, puis sont mémorisés pour avertir les aides à la conduite aux prochains passages du véhicule sur la zone. Les imprécisions de représentation du tracé des routes dans la carte numérique sont quant à elles désignées comme défauts géométriques. Un formalisme mathématique est développé pour détecter ces défauts en comparant l’estimation de la position du véhicule d’après la carte à une autre estimation indépendante de la carte. Cette seconde estimation pouvant elle aussi être affectée par un défaut, les anciens trajetsdu véhicule sur la même zone sont utilisés. Un test statistique est finalement utilisé pour améliorer la méthode de détection de défauts géométriques dans des conditions de mesures bruitées. Toutes les méthodes développées dans le cadre de cette thèse sont évaluées à l’aide de données réelles
Several Intelligent Vehicles capabilities from Advanced Driving Assistance Systems (ADAS) to Autonomous Driving functions depend on a priori information provided by navigation maps. Whilst these were intended for driver guidance as they store road network information, today they are even used in applications that control vehicle motion. In general, the vehicle position is projected onto the map to relate with links in the stored road network. However, maps might contain faults, leading to navigation and situation understanding errors. Therefore, the integrity of the map-matched estimates must be monitored to avoid failures that can lead to hazardous situations. The main focus of this research is the real-time autonomous evaluation of faults in navigation maps used in intelligent vehicles. Current passenger vehicles are equipped with proprioceptive sensors that allow estimating accurately the vehicle state over short periods of time rather than long trajectories. They include receiver for Global Navigation Satellite System (GNSS) and are also increasingly equipped with exteroceptive sensors like radar or smart camera systems. The challenge resides on evaluating the integrity of the navigation maps using vehicle on board sensors. Two types of map faults are considered: Structural Faults, addressing connectivity (e.g., intersections). Geometric Faults, addressing geographic location and road geometry (i.e. shape). Initially, a particular structural navigation map fault is addressed: the detection of roundabouts absent in the navigation map. This structural fault is problematic for ADAS and Autonomous Driving. The roundabouts are detected by classifying the shape of the vehicle trajectory. This is stored for use in ADAS and Autonomous Driving functions on future vehicle trips on the same area. Next, the geometry of the map is addressed. The main difficulties to do the autonomous integrity monitoring are the lack of reliable information and the low level of redundancy. This thesis introduces a mathematical framework based on the use of repeated vehicle trips to assess the integrity of map information. A sequential test is then developed to make it robust to noisy sensor data. The mathematical framework is demonstrated theoretically including the derivation of definitions and associated properties. Experiments using data acquired in real traffic conditions illustrate the performance of the proposed approaches
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Books on the topic "Automobile navigation systems"

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Rush, Thomas. Personal navigation systems. Norwalk, CT: Business Communications Co., Inc., 1996.

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Engineers, Society of Automotive, and Vehicular Technology Society, eds. Vehicle Navigation & Information Systems Conference proceedings: VNIS '91. Warrendale, PA: Society of Automotive Engineers, 1991.

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Trombly, Jeffrey. Consumer acceptance study: SWIFT, Seattle Wide-area Information For Travelers. McLean, Va: Science Applications International Corporation, 1998.

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Wetherby, Bruce. Architecture study: SWIFT, Seattle Wide-area Information For Travelers. McLean, Va: Science Applications International Corporation, 1998.

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Vehicle, Navigation and Information Systems Conference (3rd 1992 Oslo Norway). Vehicle navigation & information systems: Conference record of papers presented at the 3rd Vehicle Navigation and Information Systems Conference 1992, Reso Hotel Oslo Plaza, Sonja Henies Plass 3, 0107 Oslo, Norway, September 2-4, 1992. [New York]: Institute of Electrical and Electronics Engineers, 1992.

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Wetherby, Bruce. Institutional issues study: SWIFT, Seattle Wide-area Information For Travelers. McLean, Va: Science Applications International Corporation, 1998.

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Jensen, Mark. Deployment cost study: SWIFT, Seattle Wide-area Information For Travelers. McLean, Va: Science Applications International Corporation, 1998.

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Bevly, David M. GNSS for vehicle control. Boston, Mass: Artech House, 2010.

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Bevly, David M. GNSS for vehicle control. Boston, Mass: Artech House, 2010.

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Fyedotov, Grigoriy. Engineering geodesy. ru: INFRA-M Academic Publishing LLC., 2016. http://dx.doi.org/10.12737/13161.

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Fundamentals of engineering geodesy are stated, its value in a national economy and defense of the country is shown. Unlike earlier published textbooks in the present edition except traditional data on engineering geodesy information on the digital cards used in GIS geographic information systems, and also to the digital TsMM and mathematical MMM models of the district which are a basis of the modern automated design of SAPR on the engineering and geodetic methods and processes which incorporated the last achievements of computer technologies is given: electronic and computer takheometriya, satellite navigation, remote sensing, laser scanning, digital fotogrammetriya. In the textbook modern experience of works at researches and construction of highways and airfields, bridge crossings and transport tunnels of the leading design and survey organizations and firms of Russia is generalized. For students of automobile and road and construction specialties of higher education institutions. It can be used by the students of the corresponding specialties of technical schools, colleges, certified specialists working in the corresponding areas of transport construction.
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Book chapters on the topic "Automobile navigation systems"

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Zhang, Xiubin, and Muhammad Mansoor Khan. "Intelligent Vehicle Navigation and Traffic System." In Principles of Intelligent Automobiles, 175–209. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2484-0_5.

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Gnanasaekaran, K., S. Kanya, B. Suresh, and Shriram K. Vasudevan. "Automated Radius Calculation of a Turn for Navigation and Safety Enhancement in Automobiles." In Advances in Intelligent Systems and Computing, 327–34. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23036-8_28.

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Shan, Baoming, Sailong Ji, and Qilei Xu. "Design and Implementation of Automobile Leasing Intelligent Management System Based on Beidou Compass Satellite Navigation." In Wireless Communications, Networking and Applications, 957–69. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2580-5_87.

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Conference papers on the topic "Automobile navigation systems"

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Kanemitsu, Hiroyuki, Takaharu Saito, Junkoh Shima, and Yoshibumi Tanaka. "Automobile Navigation System Using Individual Communication Beacon." In Vehicle Navigation & Instrument Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1991. http://dx.doi.org/10.4271/912758.

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Iwadate, Tadao, Tetsuo Matsumura, Takeshi Kawada, Hideto Ohura, Yutaka Kanazaki, and Tadashi Kinomura. "Communication System Design of RACS (Road/Automobile Communication System)." In Vehicle Navigation & Instrument Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1991. http://dx.doi.org/10.4271/912759.

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"Automobile navigation system using individual communication beacon." In 1991 Vehicle Navigation and Information Systems Conference. IEEE, 1991. http://dx.doi.org/10.1109/vnis.1991.205769.

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"Communication system design of RACS (road/automobile communication system)." In 1991 Vehicle Navigation and Information Systems Conference. IEEE, 1991. http://dx.doi.org/10.1109/vnis.1991.205770.

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Chu, Kar-Hai, and Samuel R. H. Joseph. "Second Life Prototyping of Augmented Automobile Navigation Assistance." In 2008 11th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE, 2008. http://dx.doi.org/10.1109/itsc.2008.4732579.

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Takaba, Sadao. "Japanese Projects on Automobile Information and Communication Systems - Things Aimed at and Obtained in 20 Years' Experiences." In Vehicle Navigation & Instrument Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1991. http://dx.doi.org/10.4271/912757.

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Li Ru'yuan, Wang Zhi'an, Li'yan, and Wang Xuhui. "The innovation of urban road navigation by “automobile network”." In 2010 Second International Conference on Communication Systems, Networks and Applications (ICCSNA). IEEE, 2010. http://dx.doi.org/10.1109/iccsna.2010.5588985.

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"Japanese projects on automobile information and communication systems - Things aimed at and obtained in 20 years' experiences." In 1991 Vehicle Navigation and Information Systems Conference. IEEE, 1991. http://dx.doi.org/10.1109/vnis.1991.205768.

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Alamdari, Aliakbar, Javad Sovizi, and Venkat N. Krovi. "Enhanced Full-State Estimation and Dynamic-Model-Based Prediction for Road-Vehicles." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34453.

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Abstract:
In this paper, we address the enhanced state estimation and prediction system for automobile applications by fusing relatively low-cost and noisy Inertial Navigation System (INS) sensing with Global Positioning System (GPS) measurements. An unscented Kalman filter is used to merge multi-rate measurements from GPS and INS sensors together with a high-fidelity vehicle-dynamics model for state-predictions. The high-fidelity motion model (including suspension-effects) for the vehicle motion trajectory on uneven terrain is captured by a 20-state system of nonlinear differential equations. Computer simulation results illustrate the effectiveness of sensor-fusion (building upon the merger of an inexpensive INS sensing with GPS based measurements) to accurately estimate the full system-state. The relative ease of implementation, accuracy and predictive performance with low-cost sensing will facilitate its use in various electronic control and safety-systems, such as Electronic Stability Program, Anti-lock Brake Systems, and the Lateral Dynamic Stability Control.
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Ikeda, Hirosaka, Yoshinobu Kobayashi, Seiji Kawamura, and Hiroaki Nobuta. "Sumitomo Electric's Navigation Systems for Private Automobiles." In Vehicle Navigation & Instrument Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1991. http://dx.doi.org/10.4271/912789.

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