Relevant bibliographies by topics / Vehicle Telemetry

Contents

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

Academic literature on the topic 'Vehicle Telemetry'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Vehicle Telemetry"

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Starkey, Ryan P. "Hypersonic Vehicle Telemetry Blackout Analysis." Journal of Spacecraft and Rockets 52, no. 2 (March 2015): 426–38. http://dx.doi.org/10.2514/1.a32051.

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Taylor, Phillip, Nathan Griffiths, Abhir Bhalerao, Sarabjot Anand, Thomas Popham, Zhou Xu, and Adam Gelencser. "Data Mining for Vehicle Telemetry." Applied Artificial Intelligence 30, no. 3 (March 15, 2016): 233–56. http://dx.doi.org/10.1080/08839514.2016.1156954.

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Gilsdorf, Jason M., Kurt C. Vercauteren, Scott E. Hygnstrom, W. David Walter, Justin R. Boner, and Greg M. Clements. "An Integrated Vehicle-Mounted Telemetry System for VHF Telemetry Applications." Journal of Wildlife Management 72, no. 5 (July 2008): 1241–46. http://dx.doi.org/10.2193/2007-348.

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Anggara Trisna Nugraha and Dadang Priyambodo. "Development of Rocket Telemetry in Chamber Gas Pressure Monitoring with the MPXV7002DP Gas Pressure Sensor." Journal of Electronics, Electromedical Engineering, and Medical Informatics 2, no. 3 (October 29, 2020): 103–7. http://dx.doi.org/10.35882/jeeemi.v2i3.3.

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Telemetry is a process used to measure or record a physical quantity at a location far from the center of processing the measurement results. Telemetry systems on unmanned aerial vehicles can provide information such as position, altitude, direction, and status of the vehicle itself in real time when the air vehicle is operated. A rocket is a flying vehicle that moves by getting a boost through the combustion reaction that occurs in the rocket. Implementation of the strain gauge sensor through the MPXV7002DP gas pressure sensor, the amount of gas pressure is obtained at the time of combustion of the rocket and sent via wi-fi telemetry Pixhawk 447 MHz, the data on a laptop can be shown the gas pressure generated in the rocket chamber through the display of the Borland Delphi program with a distance of 150 m.
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Matyushin, M. M., and A. V. Kuimov. "Forming the Rational Telemetry Message Traffic of Rocket and Space Engineering under the Restrictions on the Resources of Data-Transmission Channels." MANNED SPACEFLIGHT, no. 3(40) (September 1, 2021): 66–81. http://dx.doi.org/10.34131/msf.21.3.66-81.

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The paper presents the formulation of the mathematical problem for developing the rational telemetry message traffic via data-transmission channels. The source data region, required varying parameters, indicators and criteria of quality for the telemetry message traffic, and restrictions on the permissible solutions region were determined. The methodology for solving the set problem using the mathematical apparatus of sequential optimization is proposed. The developed methodology was tested using the source data and telemetric information recorded during launches of “conditionally light” spacecraft by the “Proton-M” launcher vehicle with the “Briz-M” upper stage from the Baikonur cosmodrome.
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Ayoung-Chee, Patricia, Christopher D. Mack, Robert Kaufman, and Eileen Bulger. "Predicting severe injury using vehicle telemetry data." Journal of Trauma and Acute Care Surgery 74, no. 1 (January 2013): 190–95. http://dx.doi.org/10.1097/ta.0b013e31827a0bb6.

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Słowik, Maciej, and Zdzisław Gosiewski. "Base Station for Monitoring of Unmanned Aerial Vehicle Flight." Solid State Phenomena 198 (March 2013): 182–87. http://dx.doi.org/10.4028/www.scientific.net/ssp.198.182.

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A configuration of universal base station designed to use mobile networks for long-range transmission of telemetry data is described in the paper. Types of cellular networks and modes of their operation are presented. Next, GPRS system is shown as a possible method of data transmission between UAV and Base Station. Communication modes of the station can be augmented by additional close-range communication system based on Xbee modules. The configuration and integration of test stand for telemetric signals monitoring are shown. Finally, the modes of possible operations based on the conditions of mobile networks are described.
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Taylor, Phillip, Nathan Griffiths, Abhir Bhalerao, Zhou Xu, Adam Gelencser, and Thomas Popham. "Investigating the Feasibility of Vehicle Telemetry Data as a Means of Predicting Driver Workload." International Journal of Mobile Human Computer Interaction 9, no. 3 (July 2017): 54–72. http://dx.doi.org/10.4018/ijmhci.2017070104.

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Driving is a safety critical task that requires a high level of attention from the driver. Although drivers have limited attentional resources, they often perform secondary tasks such as eating or using a mobile phone. When performing multiple tasks in the vehicle, the driver can become overloaded and the risk of a crash is increased. If a vehicle is aware that the driver is currently under high workload, the vehicle functionality can be changed in order to minimise any further demand. Traditionally, workload is measured using physiological sensors that require often intrusive and expensive equipment. Another approach may be to use vehicle telemetry data as a performance measure for workload. In this paper, the authors present the Warwick-JLR Driver Monitoring Dataset (DMD) and analyse it to investigate the feasibility of using vehicle telemetry data for determining the driver workload. They perform a statistical analysis of subjective ratings, physiological data, and vehicle telemetry data collected during a track study. A data mining methodology is then presented to build predictive models using this data, for the driver workload monitoring problem.
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Douglas, Alexander. "Haul road roughness measurement using georeferenced truck vibration." New Trends in Production Engineering 2, no. 1 (October 1, 2019): 416–23. http://dx.doi.org/10.2478/ntpe-2019-0044.

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Abstract Vehicle vibrations caused by poor haul road conditions create multiple negative effects for mines, including slower cycle times, increased maintenance, and operator injury. Vibration levels in vehicles result in part from road roughness. Mine roads are mainly constructed from in-pit materials that are more likely to deteriorate overtime and require frequent maintenance to maintain a smooth surface. The decision for when and where road maintenance is conducted is primarily based on visual inspections. This method can provide subjective, inaccurate, and delayed response to adverse conditions. The recent increase in vehicle telemetry data allows instant access to several types of data; mainly being used for haul fleet dispatching, collision avoidance, and geologic surveying, telemetry data has yet to see widespread use in road maintenance dispatching. This paper examines current road roughness characterization techniques and current telemetry data streams. An initial case study was conducted using vibration and Global Navigation Satellite System (GNSS) telemetry data to determine road roughness. Data from three haul trucks under normal operating conditions were collected over the course of a week. The results of this case study demonstrate localized vibration levels can be used to objectively identify rough roads. This can be further developed to dispatch road maintenance crews leading to overall reduced mining costs and increased operator health. The researches propose continuing to full scale test using data from an entire fleet and longer timeframe.
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Graba, M., J. Mamala, K. Prażnowski, and M. Kowalski. "Wireless telemetry system of an Off-Road vehicle." IOP Conference Series: Materials Science and Engineering 421 (October 11, 2018): 022011. http://dx.doi.org/10.1088/1757-899x/421/2/022011.

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Dissertations / Theses on the topic "Vehicle Telemetry"

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Moore, Christopher, Dylan Crocker, Garret Coffman, and Bryce Nguyen. "Telemetry Network for Ground Vehicle Navigation." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595750.

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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada
This paper describes a short distance telemetry network which measures and relays time, space, and position information among a group of ground vehicles. The goal is to allow a lead vehicle to be under human control, or perhaps controlled using advanced autonomous path planning and navigation tools. The telemetry network will then allow a series of inexpensive, unmanned vehicles to follow the lead vehicle at a safe distance. Ultrasonic and infrared signals will be relayed between the vehicles, to allow the following vehicles to locate their position, and track the lead vehicle.
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Taylor, Phillip. "Data mining of vehicle telemetry data." Thesis, University of Warwick, 2015. http://wrap.warwick.ac.uk/77645/.

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Driving a safety critical task that requires a high level of attention and workload from the driver. Despite this, people often perform secondary tasks such as eating or using a mobile phone, which increase workload levels and divert cognitive and physical attention from the primary task of driving. As well as these distractions, the driver may also be overloaded for other reasons, such as dealing with an incident on the road or holding conversations in the car. One solution to this distraction problem is to limit the functionality of in-car devices while the driver is overloaded. This can take the form of withholding an incoming phone call or delaying the display of a non-urgent piece of information about the vehicle. In order to design and build these adaptions in the car, we must first have an understanding of the driver's current level of workload. Traditionally, driver workload has been monitored using physiological sensors or camera systems in the vehicle. However, physiological systems are often intrusive and camera systems can be expensive and are unreliable in poor light conditions. It is important, therefore, to use methods that are non-intrusive, inexpensive and robust, such as sensors already installed on the car and accessible via the Controller Area Network (CAN)-bus. This thesis presents a data mining methodology for this problem, as well as for others in domains with similar types of data, such as human activity monitoring. It focuses on the variable selection stage of the data mining process, where inputs are chosen for models to learn from and make inferences. Selecting inputs from vehicle telemetry data is challenging because there are many irrelevant variables with a high level of redundancy. Furthermore, data in this domain often contains biases because only relatively small amounts can be collected and processed, leading to some variables appearing more relevant to the classification task than they are really. Over the course of this thesis, a detailed variable selection framework that addresses these issues for telemetry data is developed. A novel blocked permutation method is developed and applied to mitigate biases when selecting variables from potentially biased temporal data. This approach is infeasible computationally when variable redundancies are also considered, and so a novel permutation redundancy measure with similar properties is proposed. Finally, a known redundancy structure between features in telemetry data is used to enhance the feature selection process in two ways. First the benefits of performing raw signal selection, feature extraction, and feature selection in different orders are investigated. Second, a two-stage variable selection framework is proposed and the two permutation based methods are combined. Throughout the thesis, it is shown through classification evaluations and inspection of the features that these permutation based selection methods are appropriate for use in selecting features from CAN-bus data.
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Meier, Robert C. "A LAUNCH VEHICLE VIDEO TELEMETRY SYSTEM." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/608303.

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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Collecting and analyzing vehicle performance data is an essential part of the launch process. Performance data is used to determine mission success. Performance data also provides essential feedback to the launch vehicle design engineers. This feedback can be used to improve the overall vehicle design and thereby improve the probability of a successful launch. Various Telemetry products are used to gather and process critical information on board launch vehicles. Data is transmitted by RF links to fixed or mobile receiving stations. These Telemetry products are ruggedized for the extreme launch environments. This paper discusses the use of video telemetry as a means of providing launch vehicle performance data.
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Bertenshaw, Thomas G. "TRADAT VI Telemetry Ranging System." International Foundation for Telemetering, 1993. http://hdl.handle.net/10150/611867.

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International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Frequently a requirement exists to track sounding rockets or balloons from remote locations which have no radar capability. Occasionally, there is also a requirement to provide an alternative to radar tracking at those locations where it exists. TRADAT VI satisfies both requirements by providing vehicle positional from telemetry. In addition, it also provides real-time trajectory plots by its graphical display.
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Aspnes, Richard K., and Russell J. Yuma. "MMTS: Multi-Vehicle Metric & Telemetry System." International Foundation for Telemetering, 1988. http://hdl.handle.net/10150/615244.

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International Telemetering Conference Proceedings / October 17-20, 1988 / Riviera Hotel, Las Vegas, Nevada
The Multi-Vehicle Metric & Telemetry System (MMTS) is a complete range system which performs real-time tracking, command destruct, and telemetry processing functions for support of range safety and the test and evaluation of airborne vehicles. As currently configured, the MMTS consists of five hardware and software subsystems with the capability to receive, process, and display tracking data from up to ten range sensors and telemetry data from two instrumented vehicles. During a range operation, the MMTS is employed to collect, process, and display tracking and telemetry data. The instrumentation sites designated for operational support acquire tracking and telemetered data and transmit these data to the MMTS. The raw data is then identified, formatted, time tagged, recorded, processed, and routed for display to mission control and telemetry display areas. Additionally, processed tracking data is transmitted back to instrumentation sites as an aid to acquire or maintain vehicle track. The mission control area consists of a control and status console, high resolution color graphics stations, and large screen displays. As the mission controller observes mission progress on the graphics stations operational decisions can be made and invoked by activation of the appropriate console controls. Visual alarms provided my MMTS will alert mission control personnel of hazardous conditions posed by any tracked vehicle. Manual action can then be taken to activate transmission of the MMTS vehicle destruct signal. The telemetry display area consists of ten fully-functional, PC compatible computers which are switchable to either of two telemetry front end processors. Each PC can be independently set up by telemetry analysts to display data of interest. A total of thirty data pages per PC can be defined and any defined data page can be activated during a mission. A unique feature of the MMTS is that telemetry data can be combined with tracking data for use by the range safety functions.
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Johnson, Keenan. "Telemetry Processor Design for a Remotely Operated Vehicle." International Foundation for Telemetering, 2014. http://hdl.handle.net/10150/577417.

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ITC/USA 2014 Conference Proceedings / The Fiftieth Annual International Telemetering Conference and Technical Exhibition / October 20-23, 2014 / Town and Country Resort & Convention Center, San Diego, CA
The Mars Rover Design Team at Missouri University of Science and Technology developed a multifunctional rover for the Mars Society's University Rover Challenge. The main processor of the rover controls various rover subsystems based on commands received from a base station, acquires data from these subsystems, collects primary location and environmental data, and transmits information to the base station. The methodology and technical design of the processor hardware and software will be described in the overall context of the collaborative team development. The paper will also discuss the process, challenges and outcomes of working with limited resources on a student design team.
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Pinto, Rafael José Antunes. "DroidShark: android telemetry system for the HammerShark vehicle." Master's thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/10059.

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Mestrado em Engenharia de Computadores e Telemática
HammerShark é um veículo resultante de um projeto pluridisciplinar na Universidade de Aveiro, envolvendo várias áreas tais como mecânica, electrónica e informática. O veículo foi desenvolvido com o objectivo de participar na Shell Eco- Marathon, uma prova académica com o intuito de desenvolver e testar veículos ecológicos. O vencedor é a equipa que percorre a maior distância, utilizando a menor quantidade de energia. O HammerShark introduziu algumas inovações, tais como o CAN bus com um interface Bluetooth, permitindo que todos os parâmetros do veículo e da prova possam ser obtidos através deste. Em todas as provas motorizadas, o sistema da telemetria _e uma parte fulcral para atingir o sucesso no evento. Com o aparecimento de dispositivos móveis, que utilizam sistemas operativos open- source, abriu-se a possibilidade de utilizar este tipo de dispositivos como meio de suporte aos sistemas de telemetria. Nesta dissertação propomos um novo sistema de Telemetria { DroidShark, para o HammerShark - baseado no Android OS. Com o suporte por parte do Android para comunicação inter- processos entre aplicações third- party, foi possível desenvolver uma arquitetura modular capaz de concretizar todos os objectivos propostos. O DroidShark _e composto por duas unidades - car unit e pit unit -, onde o car unit comunica com o HammerShark e é responsável por providenciar todos os dados recolhidos á pit unit, por forma a informar todos os restantes membros da equipa que se encontram na pit lane. O DroidShark demonstra que a incorporação de dispositivos móveis em sistemas de telemetria é uma solução com grande potencial.
HammerShark is a vehicle, resulting from a multidisciplinar project from University of Aveiro involving work from several areas such as mechanics, electronics and informatics. The vehicle was build with the aim to participate in the Shell- Eco Marathon, a challenge for college students to design build and test energy efficient vehicles. The winner is the team that covers the farthest distance using the least amount of energy. HammerShark introduces some innovations, namely the CAN bus with a Bluetooth Interface for publishing data through it. On every race challenges, the telemetry solution is a fundamental part in order to achieve success in the event. With the introduction of the CAN bus, a new and improved telemetry system could be developed to assist the decision of the driver and/or the crew during and after the race. With the emergence of mobile devices, using open {source operating systems, a new door was open to develop new telemetry systems based on these kind of devices. In this dissertation we propose a new telemetry system - DroidShark, for the HammerShark vehicle - based on Android OS. Since Android OS supports inter- process communication between third- party applications, it was possible to develop a modular architecture to achieve all proposed goals. The DroidShark is composed by two units - car unit and pit unit -, where the car unit communicates with HammerShark and is responsible to provide all acquired information to the pit unit, in order to inform all remaining team members that stand at the pit lane. DroidShark demonstrates that incorporating mobile devices in telemetry solutions have a significant potential.
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Kitchen, Seth, and Daniel Klinger. "TELEMETRY SYSTEM FOR INTERCOLLEGIATE ROCKET ENGINEERING COMPETITION VEHICLE." International Foundation for Telemetering, 2017. http://hdl.handle.net/10150/626955.

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This paper describes a telemetry system for a high-powered rocket entered in the Intercollegiate Rocket Engineering Competition hosted by the Experimental Sounding Rocket Association. On-board the rocket GPS coordinates,acceleration, magnetic field and lux readings are collected,along with other data. The data is sent between internal systems using commercial Internet-of-Things boards that utilize IEEE 802.11 wireless protocols. The aggregated data is transmitted to a ground station through a monopole transmitting antenna and custom designed helical receiving antenna such that in the event of a crash, data is not lost. The ground station data recovery is performed using a commercial XBee transceiver, before being displayed in real time for tracking and safety purposes,and stored for future data analysis. The target apogee is 9 km, so real time GPS data will be useful for both tracking and vehicle recovery operations.
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Rupp, Greg. "TDRSS COMPATIBLE TELEMETRY TRANSMITTER." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/607615.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California
An S-band telemetry transmitter has been developed for Expendable Launch Vehicles (ELV's) that can downlink data through NASA's Tracking and Data Relay Satellite System (TDRSS). The transmitter operates in the 2200 to 2300 MHz range and provides a number of unique features to achieve optimum performance in the launch vehicle environment: · Commandable QPSK or BPSK modulation format. · Data rates up to 10 Mbps. · Commandable concatenated coding provides superior link performance. · Premodulation filtering produces excellent spectral containment characteristics. · Phase noise of less than 3 degrees rms is maintained through launch and ascent vibration profiles. · A 30 watt nominal RF output power provides a robust RF link. · Two RF antenna output ports with commandable selection of all power out to either port or power split evenly between ports. · Operating modes and conditions of the unit can be monitored through a number of bilevel and analog outputs. · A ruggedized mechanical design provides a reliable communications link for launch vehicle environments.
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Guven, Emin. "Telemetry and GPS antennas for a micro air vehicle." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA369430.

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Thesis (M.S. in Systems Engineering) Naval Postgraduate School, September 1999.
"September 1999". Thesis advisor(s): David C. Jenn. Includes bibliographical references (p. 65-66). Also available online.
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Books on the topic "Vehicle Telemetry"

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Guven, Emin. Telemetry and GPS antennas for a micro air vehicle. Monterey, Calif: Naval Postgraduate School, 1999.

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Wilhelm, Kevin Thomas. Development and testing of an unmanned air vehicle telemetry system. Monterey, Calif: Naval Postgraduate School, 1991.

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Sharma, Ashley. X-33 integrated test facility extended range simulation. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

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Yu, Zhijian. Hang tian ce kong xi tong gong cheng. Beijing: Guo fang gong ye chu ban she, 2008.

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Metody raznesënnogo priëma telemetricheskoĭ informat︠s︡ii i uslovii︠a︡ ikh primenenii︠a︡ v prot︠s︡esse razvitii︠a︡ telemetricheskogo kompleksa kosmodroma. 2nd ed. Naberezhnye Chelny: Izdatelʹsko-poligraficheskiĭ t︠s︡entr Kamskoĭ gosudarstvennoĭ inzhenerno-ėkonomicheskoĭ akademii, 2009.

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Tai kong zhui zong: Zhongguo hang tian ce kong ji shi. 2nd ed. Beijing Shi: Zhong gong zhong yang dang xiao chu ban she, 2005.

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Fei xing qi ce kong tong xin gong cheng: Spacecraft TT&C and communication engineering. Beijing Shi: Guo fang gong ye chu ban she, 2010.

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Shen kong ce kong wu xian dian ce liang ji shu: Radiometric measuring techniques for deep space navigation. Beijing Shi: Guo fang gong ye chu ban she, 2012.

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Fei xing qi ce kong yu xin xi chuan shu ji shu: Spacecraft TT&C and information transmission technology. Beijing Shi: Guo fang gong ye chu ban she, 2011.

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Bi kong tian lian: Tan jiu ce kong tong xin yu sou suo jiu yuan. Beijing Shi: Zhongguo yu hang chu ban she, 2011.

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Book chapters on the topic "Vehicle Telemetry"

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Oxer, Jonathan, and Hugh Blemings. "Vehicle Telemetry Platform." In Practical Arduino, 301–95. Berkeley, CA: Apress, 2009. http://dx.doi.org/10.1007/978-1-4302-2478-5_15.

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Kohtake, N., H. Kawabata, K. Teraoka, M. Katahira, and H. Takatsuka. "Telemetry and Tracking System for the H-IIA Launch Vehicle." In The Space Transportation Market: Evolution or Revolution?, 291–93. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-010-0894-5_37.

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Sternal, Kamil, Adam Cholewa, Wojciech Skarka, and Mirosław Targosz. "Electric Vehicle for the Students’ Shell Eco-Marathon Competition. Design of the Car and Telemetry System." In Telematics in the Transport Environment, 26–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34050-5_4.

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Joy, Sherly, K. S. Smitha, Mini Sreekumar, D. Sheba Elizabeth, S. Sanoj Kumar Roy, and K. K. Mukundan. "A Novel Strategy for Data Transmission in Aerospace Vehicle Using Space-Based TTC Network—Telemetry via INSAT." In Lecture Notes in Electrical Engineering, 245–56. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3992-3_20.

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Furch, Jan, Tomas Turo, Zdenek Krobot, and Jiri Stastny. "Using Telemetry for Maintenance of Special Military Vehicles." In Modelling and Simulation for Autonomous Systems, 392–401. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76072-8_28.

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Wong, Pak-kin, Chi-man Vong, Weng-fai Ip, and Hang-cheong Wong. "Preliminary Study on Telemetric Vehicle Emission Examination." In Lecture Notes in Electrical Engineering, 443–51. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2169-2_53.

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Lim, Kai Li, Stuart Speidel, and Thomas Bräunl. "REView: A Unified Telemetry Platform for Electric Vehicles and Charging Infrastructure." In Connected Vehicles in the Internet of Things, 167–219. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36167-9_8.

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Karnati, Sudarsana Reddy, Lakshmi Bopanna, and D. R. Jahagirdar. "Distributed Telemetry System with High Speed Avionics Bus for Multi Stage Aerospace Vehicles." In Communications in Computer and Information Science, 66–72. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66763-4_6.

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Izri, Sonia, Eric Brassart, Laurent Delahoche, Bruno Marhic, and Arnaud Clérentin. "Detection of Vehicles in a Motorway Environment by Means of Telemetric and Visual Data." In Lecture Notes in Computer Science, 471–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30126-4_58.

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Ontiveros, Mayra Ivette Peña, Cesar Omar Balderrama Armendáriz, and David Cortés Sáenz. "Design of Recreational Vehicles for Young and Adult People as an Alternative to Physical Activation in Open Spaces." In Handbook of Research on Ergonomics and Product Design, 113–31. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5234-5.ch008.

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Physical activity is an outstanding factor for daily life since it helps to maintain the physiological functions of the body, granting the possibility of increasing physical and mental health. Recreational vehicles of human propulsion are an alternative for skeletal muscle and cardiovascular system activation with the particularity of improving the system while enjoying the activity. This chapter presents an analysis of the problems of sedentary lifestyle to propose a user-focused alternative that meets the necessary requirements for healthy energy consumption. A prototype was designed and built to verify the metabolic expenditure through a telemetry equipment and another survey was applied to validate functional and user acceptance aspects. The results of the tests showed an average energy consumption of 50.2 kcal/min (Almost 6 METS) placing the prototype in a suitable range to perform physical activation. Finally, the resulting vehicle was cataloged by users as creative and attractive to be used in the future.
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Conference papers on the topic "Vehicle Telemetry"

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Wurst, Richard L. "Engine Torque Measurement Using Telemetry." In SAE Commercial Vehicle Engineering Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2004. http://dx.doi.org/10.4271/2004-01-2679.

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Supke, S. "3.1 - Next Generation Vehicle Diagnostics." In ettc2018 - European Test and Telemetry Conference. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2018. http://dx.doi.org/10.5162/ettc2018/3.1.

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3

Chandiramani, Jayesh Ramesh, Sanjam Bhandari, and S. A. Hariprasad. "Vehicle Data Acquisition and Telemetry." In 2014 Fifth International Conference on Signal and Image Processing (ICSIP). IEEE, 2014. http://dx.doi.org/10.1109/icsip.2014.35.

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4

Loganathan, Yaamini Devi, and Bharathi Krishnamoorthy. "Harmonizing Automotive Electronics Testing with Telemetry." In SAE 2006 Commercial Vehicle Engineering Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2006. http://dx.doi.org/10.4271/2006-01-3494.

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5

Zhang, J., X. Bi, X. Wang, and W. Zhu. "2.4 - Launch Vehicle Electrical Power System Rocket-ground Wireless Interface Prototype." In ettc2018 - European Test and Telemetry Conference. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2018. http://dx.doi.org/10.5162/ettc2018/2.4.

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6

Timpner, Julian, Martin Wegner, Hendrik-Jörn Günther, and Lars Wolf. "High-resolution vehicle telemetry via heterogeneous IVC." In the First International Workshop. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/2938681.2938687.

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7

Calderon, Alfonso Gago, German Galbeno Ruiz, and Alfonso Carlos Gago Bohorquez. "GPRS telemetry system for high-efficiency electric competition vehicles." In 2013 World Electric Vehicle Symposium and Exhibition (EVS27). IEEE, 2013. http://dx.doi.org/10.1109/evs.2013.6914788.

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8

Gabiniewicz, Joseph V., Douglas M. Baker, and Michael Testani. "Development of a Vehicle Drive Shaft Telemetry System." In SAE 2016 World Congress and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2016. http://dx.doi.org/10.4271/2016-01-0410.

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9

Shirokov, I. B., and P. V. Proshchenko. "An intellectual burglar-alarm and telemetry vehicle system." In 2003 13th International Crimean Conference 'Microwave and Telecommunication Technology' Conference Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/crmico.2003.158848.

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R., Arjun, Mohammed Shahim M. I., and Santhosh Kumar G. "Integrated environment for launch vehicle telemetry data management." In 2012 International Conference on Data Science & Engineering (ICDSE 2012). IEEE, 2012. http://dx.doi.org/10.1109/icdse.2012.6281894.

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Reports on the topic "Vehicle Telemetry"

1

Kidner, R. E. Reentry vehicle adaptive telemetry. Office of Scientific and Technical Information (OSTI), September 1993. http://dx.doi.org/10.2172/10185958.

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2

Faulstich, Raymond, and Eugene Law. Test Methods for Telemetry Systems and Subsystems. Volume 1. Test Methods for Vehicle Telemetry Systems. Fort Belvoir, VA: Defense Technical Information Center, June 2006. http://dx.doi.org/10.21236/ada619554.

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