Academic literature on the topic 'Car sensor'
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Journal articles on the topic "Car sensor"
Li, Nan, and Cun Fu He. "Capacitive Sensor Design for an Automatic Car-Wiper System." Advanced Materials Research 211-212 (February 2011): 798–802. http://dx.doi.org/10.4028/www.scientific.net/amr.211-212.798.
Full textRiccardi, D., and D. Maldonado-Perez. "The calcium-sensing receptor as a nutrient sensor." Biochemical Society Transactions 33, no. 1 (February 1, 2005): 316–20. http://dx.doi.org/10.1042/bst0330316.
Full textNasir, M. Z. M., S. Salimin, B. Chan, and S. A. Jumaat. "Prototype development of smart parking system powered by solar photovoltaic." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 3 (June 1, 2020): 1229. http://dx.doi.org/10.11591/ijeecs.v18.i3.pp1229-1235.
Full textHandlogten, Mary E., Naoki Shiraishi, Hisataka Awata, Chunfa Huang, and R. Tyler Miller. "Extracellular Ca2+-sensing receptor is a promiscuous divalent cation sensor that responds to lead." American Journal of Physiology-Renal Physiology 279, no. 6 (December 1, 2000): F1083—F1091. http://dx.doi.org/10.1152/ajprenal.2000.279.6.f1083.
Full textBabu, Dr K. Ramesh. "Automatic Car Parking with Arduino, LDR Sensor." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 25, 2021): 2238–48. http://dx.doi.org/10.22214/ijraset.2021.35474.
Full textSusanto, Rudy, Yohannes Kristanto, Sonny Ridwanto, and Diptyo Hisnuaji. "PERANCANGAN DAN IMPLEMENTASI SENSOR PARKIR PADA MOBIL MENGGUNAKAN SENSOR ULTRASONIK." CommIT (Communication and Information Technology) Journal 1, no. 1 (May 31, 2007): 18. http://dx.doi.org/10.21512/commit.v1i1.464.
Full textEmura, Takashi, Masaaki Kumagai, and Lei Wang. "A Next-Generation Intelligent Car for Safe Drive." Journal of Robotics and Mechatronics 12, no. 5 (October 20, 2000): 545–51. http://dx.doi.org/10.20965/jrm.2000.p0545.
Full textKim, H., K. Choi, and I. Lee. "IMPROVING CAR NAVIGATION WITH A VISION-BASED SYSTEM." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5 (August 20, 2015): 459–65. http://dx.doi.org/10.5194/isprsannals-ii-3-w5-459-2015.
Full textKim, H., and I. Lee. "LOCALIZATION OF A CAR BASED ON MULTI-SENSOR FUSION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 247–50. http://dx.doi.org/10.5194/isprs-archives-xlii-1-247-2018.
Full textConigrave, Arthur D., and Edward M. Brown. "Taste Receptors in the Gastrointestinal Tract II.l-Amino acid sensing by calcium-sensing receptors: implications for GI physiology." American Journal of Physiology-Gastrointestinal and Liver Physiology 291, no. 5 (November 2006): G753—G761. http://dx.doi.org/10.1152/ajpgi.00189.2006.
Full textDissertations / Theses on the topic "Car sensor"
Dedic, Haris. "Humidity sensor for car seat." Thesis, University West, Department of Technology, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-785.
Full textBahrieh, Sara. "Sensor Central / Automotive Systems." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6012.
Full textwww.baselabs.de
Wallin, Jonas, and Joakim Zachrisson. "Sensor Fusion in Smartphones : with Application to Car Racing Performance Analysis." Thesis, Linköpings universitet, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94170.
Full textDagens smartphones är utrustade med en rad olika typer av sensorer såsom GPS mottagare, accelerometrar, gyroskop och magnetometrar vilket medför ett stort användningsområde. Beräkningskapaciteten hos smartphones gör det möjligt för mjukvaruapplikationer att använda sig av avancerade algoritmer för signalbehandling. Det är därför möjligt att placera en smartphone inuti en bil och skatta bilens kinematik genom att kombinera informationen från de olika sensorerna. Att fusionera information från olika källor för att erhålla bättre skattningar är ett välkänt område där det finns många metoder och algoritmer utvecklade. Detta examensarbete behandlar sensorfusionsproblemet att skatta bilars kinematik med hjälp av smartphones för syftet att kunna analysera körprestanda. Olika varianter av en coordinated turn modell för att beskriva bilens dynamik undersöks. Dessutom testas olika modeller för sensorerna där hänsyn till exempelvis biasfel tas. Förbehandling av data och pseudomätningar testas också vilket gör det möjligt att använda tillståndsmodeller med låg dimension.
Bränn, Jesper. "Smartphone sensors are sufficient to measure smoothness of car driving." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208895.
Full textDen här studien ämnar till att bedöma huruvida smartphonesensorer är tillräckliga för att avgöra om någon kör en bil aggressivt eller mjukt. För att kunna avgöra detta så samlades först data in från accelerometer, gyroskop, magnetometer och GPS-sensorerna i en smartphone, tillsammans med värden baserade på dessa data från iOS-operativ-systemet. Efter den datan var insamlad tränades ett artificiellt neuronnät med datan.Resultaten indikerar att det är möjligt att ge ett binärt utlåtande om aggressiv kontra mjuk körning med 97% säkerhet, och med liten överanpassning. Detta innebär att det är tillräckligt att enbart använda smartphonesensorer för att avgörande om körningen var mjuk eller aggressiv.
Toldra, Reig Fidel. "Development of electrochemical devices for hydrocarbon sensing purposes in car exhaust gases." Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/110968.
Full textThe present thesis is focused on the development of solid-state electrochemical devices for the selective detection of hydrocarbons in car exhaust gases. For this purpose, several materials were tested as electrodes and electrolytes. Catalytic activation of the working electrode has also been taken into account to boost the electrochemical reaction of the target analyte. Ethylene is one of the most abundant hydrocarbons in an exhaust gas and was selected as the target analyte to quantify the total amount of hydrocarbons. Not only the device has to be selective to ethylene but it must also have a low cross-sensitivity toward other pollutants abundant in an exhaust gas such as carbon monoxide, water, other hydrocarbons, nitrogen dioxide, etc. Thus, a solid-state potentiometric sensor was selected based on 8% Ytria-stabilized Zirconia (8YSZ) as electrolyte. Two electrodes were screen-printed on top of each face. First, several metal oxides were tested as working electrode with platinum (Pt) as reference electrode at 550ºC. Most of the materials were discarded because of their lack of selectivity to ethylene, high cross-sensitivity toward carbon monoxide or problems regarding stability. Fe0.7Cr1.3O3 mixed with 8YSZ was finally selected as the most promising material because of its selective response to ethylene with relatively low cross-sensitivity toward carbon monoxide. This sensor configuration was then exposed to water and phenanthrene and methylnaphthalene. This led to an increase of the cross-sensitivity of the device toward carbon monoxide making the device not suitable for the purposes of the present thesis. The approach to improve the sensor performance was to modify the reference electrode. Platinum, usually employed in literature as reference electrode, was exchanged for a mixed ionic-electronic conductor active to oxygen: La0.8Sr0.2MnO3 mixed with 8YSZ (LSM/8YSZ). Unfortunately, this increases the device activity toward carbon monoxide increasing its cross-sensitivity. Several nanoparticles were added onto the working electrode to improve the catalytic activity and boost the electrochemical reaction of ethylene. Nickel, titanium and aluminum (the last two elements combined with nickel) provided the best performance: selectivity to ethylene with low cross-sensitivity toward carbon monoxide, water and phenanthrene. The effect of the electrolyte thickness was also checked in the range from 0.1 to 1.2 mm. Although there was not a huge difference between them, the cross-sensitivity toward carbon monoxide was slightly lower for the thinnest sensor. Other alternatives to 8YSZ electrolyte were tested at lower working temperatures (400 to 550ºC) with the same electrodes materials: gadolinium-doped cerium oxide (CGO) and 10% scandia-stabilized Zirconia (ScSZ). ScsZ-based device showed a good performance in dry conditions but the addition of water decreased its suitability. Once improved the catalytic activity of the working electrode, both devices showed a good performance at lower temperature in dry conditions for ethylene concentration above 100 ppm but the best response was achieved at 550ºC. Both devices were selective to ethylene with low cross-sensitivity toward carbon monoxide, water and phenanthrene. The effect of mixing the working electrode with an ionic conductor (8YSZ) was also tested by mixing La0.87Sr0.13CrO3 (LSC) with 8YSZ and no change in response was observed when compared to the bare electrode. Finally, the best sensor configuration Fe0.7Cr1.3O3/8YSZ//8YSZ//LSM/8YSZ (after infiltration with nickel) was exposed to nitrogen dioxide to check the cross-sensitivity. The response was still selective to ethylene even with the addition of nitrogen dioxide plus water.
En la present tesi doctoral s'han desenvolupat dispositius electroquímics d'estat sòlid per a la detecció selectiva d' hidrocarburs als gasos d'escapament dels automòbils. Diversos materials van ser empleats per a tal fi. També es va dur a terme l'activació catalítica de l'elèctrode de treball per a millorar la reacció electroquímica al anàlit objectiu. L' etilè va ser seleccionat com anàlit objectiu per a quantificar la quantitat total d' hidrocarburs, ja que és un dels hidrocarburs més abundants en un gas d'escapament. Però el dispositiu no ha de ser tan sols selectiu a l'etilè, sinó que també deu proporcionar una baixa sensibilitat creuada a altres elements força abundants en un gas d'escapament com són el monòxid de carboni, l'aigua, el diòxid de nitrogen, etc. Així, el dispositiu consisteix en un sensor potenciomètric d'estat sòlid en el que l'òxid de zirconi estabilitzat amb un 8% d'òxid d'itri (8YSZ) és empleat como a electròlit. Els elèctrodes van impresos a cadascuna de les superfícies del dispositiu. Primer, diversos òxids es van emprar com a elèctrode de treball fent servir platí com elèctrode de referència a 550ºC. Molts dels materials van ser descartats per motiu de la seva manca de selectivitat al etilè, la seva alta sensibilitat creuada al monòxid de carboni o perquè la resposta no era estable. Finalment, el Fe0.7Cr1.3O3 mesclat amb 8YSZ va ser seleccionat com el material més prometedor atès a la selectivitat a l'etilè i la baixa sensibilitat creuada al monòxid de carboni. Aquesta configuració és doncs exposada tant a l'aigua com al fenantrè i al metilnaftalè. Això va produir un increment de la sensibilitat creuada al monòxid de carboni, fent que el dispositiu no resulti idoni per als objectius de la present tesi. Es va adoptar com a estratègia modificar l'elèctrode de referència. Platí, empleat sovintment com a elèctrode de referència a la bibliografia, va ser canviat per un conductor mixt iònic-electrònic actiu a l'oxigen: La0.8Sr0.2MnO3 mesclat amb 8YSZ (LSM/8YSZ). Malauradament, això va provocar l'augment de la sensibilitat creuada al monòxid de carboni. Diverses nanopartícules van ser afegides al elèctrode de treball per tal de millorar la seva activitat catalítica i així augmentar la reacció electroquímica de l'etilè. Níquel, titani i alumini (especialment la combinació dels dos darrers amb níquel) van donar la millor resposta: el sensor era selectiu a l¿etilè amb una baixa sensibilitat creuada al monòxid de carboni, l'aigua i al fenantrè. L'efecte del espessor del electròlit a la resposta del sensor també va ser avaluada en un rang de 0.1 a 1.2 mm. Malgrat que no hi ha una gran diferència en la resposta, la sensibilitat creuada al monòxid de carboni és menor en el cas del dispositiu més prim. Altres alternatives al 8YSZ com a electròlit van ser també avaluades per tal de treballar a temperatures menors (400 a 550ºC): òxid de ceri dopat amb gadolini (CGO) i òxid de zirconi estabilitzat amb un 10% d'òxid d'escandi (ScSZ). El dispositiu basat en ScSZ va mostrar un bon comportament a l'etilè a baixes temperatures en condiciones seques, però la adició d'aigua provocava un augment de la sensibilitat creuada al monòxid de carboni. Una vegada que l'elèctrode de treball es infiltrat amb níquel, ambdós dispositius mostraren un bon comportament a baixes temperatures en condicions seques per a concentracions d'etilè menors de 100 ppm, encara que la millor resposta fou obtinguda a 550ºC. La resposta era selectiva a l'etilè amb una baixa sensibilitat creuada al monòxid de carboni, l'aigua i el fenantrè. Es va comprovar també l'efecte de mesclar l'elèctrode de treball amb un conductor iònic (8YSZ). Es va mesclar La0.87Sr0.13CrO3 (LSC) amb 8YSZ sense observa cap canví en la resposta comparada amb l'electrode sense 8YSZ. la millor configuració Fe0.7Cr1.3O3/8YSZ//8YSZ//LSM/8YSZ (infiltrado con níquel) fou exposada
Toldra Reig, F. (2018). Development of electrochemical devices for hydrocarbon sensing purposes in car exhaust gases [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/110968
TESIS
Wingbrant, Helena. "Studies of MISiC-FET sensors for car exhaust gas monitoring." Doctoral thesis, Linköpings universitet, Tillämpad Fysik, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4674.
Full textOn the day of the ublic defence of the doctoral thesis, the status of article IV was: accepted, article V was: submitted and article VII was: manuscript.
Malmberg, Mats. "Sensor Fusion of GPS andAccelerometer Data for Estimation of Vehicle Dynamics." Thesis, KTH, Optimeringslära och systemteori, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143801.
Full textUppkopplade fordon är en växande marknad. I dagsläget finns flera sådana tjänster, men ofta är dessa begränsade i den meningen att de antingen endast finns tillgängliga för nyproducerade fordon eller bara erbjuder ett smalt utbud av tjänster. I detta examensarbete undersöker vi möjligheten att utveckla en generisk plattform för uppkopplade fordon som är billig och enkel att installera, men som också kan erbjuda ett stort urval av tjänster. Det föreslås att ett viktigt steg i en sådan lösning är att rekonstruera fordonets kinematik, då detta möjliggör utvecklandet av ett brett urval av tjänster genom att identifiera karakteristiska egenskaper i kinematiken, samt göra tolkningar utifrån dynamikbetraktelser. En matematisk modell för att beskriva hur kinematiken kan rekonstrueras från givna indata presenteras, och ett filter som utför denna rekonstruktion implementeras. Ytterligare två filter implementeras för att påvisa att den rekonstruerade kinematiken samt den föreslagna matematiska modellen kan användas till att identifiera olika scenarion ur verkligheten. Den kompletta filterlösningen testas på mätdata från faktiska körningar och vi ser att vi kan identifiera när fordonet gör skarpa svängar, samt när vägförhållandena är dåliga.
Andersson, Naesseth Christian. "Vision and Radar Sensor Fusion for Advanced Driver Assistance Systems." Thesis, Linköpings universitet, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94222.
Full textSachdeva, Arjun. "Collective Enrichment of OpenStreetMap Spatial Data Through Vehicles Equipped with Driver Assistance Systems." Master's thesis, Universitätsbibliothek Chemnitz, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-163050.
Full textwei, Jonny, and Pär Palmebäck. "Locust System Integration into Demo Vechicles." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8252.
Full textThis thesis project was carried out at Volvo Car Corporation. It is based on an EU project called Locust in which a bio-inspired visual sensor system (the Locust sensor system) for automotive collision avoidance was developed. The Locust sensor system is designed to emulate the collision avoidance functionality of the Locust grasshopper, which is well-known for its extraordinary vision based collision avoidance ability, in particular with regard to its fast reaction times to perceived threats. Volvo Car Corporation is interested in the possibility of using the bio-inspired technology developed in the Locust project to improve its already existing collision avoidance systems. Pedestrian collision avoidance is of high interest, for which the properties of the Locust grasshopper are desirable.
The purpose of this thesis project is to develop two demonstrator vehicles to test the performance of the Locust sensor system, carry out the testing, and evaluate its usability for Volvo Car Corporation. The first vehicle is a scale 1:5 model car that was originally developed in a thesis project at KTH, and the second a full scale Volvo XC90.
It was found in the testing that the Locust sensor system is promising for pedestrian collision avoidance applications. The results for detecting other vehicles were also acceptable, but Volvo Car Corporation already has other collision avoidance systems with better performance in this regard. In general the test results were very good for speeds up to about 40 km/h. This indicates that the Locust sensor system would be most usable in a city driving environment, parking lot situations, and for driving in residential areas.
Books on the topic "Car sensor"
Germany) Wireless Communication and Information (Conference) (7th 2010 Berlin. Wireless communication and information: Car to car, sensor networks and location based services. Boizenburg: VWH, Verlag Werner Hülsbusch, Fachverlag für Medientechnik und -wirtschaft, 2010.
Find full textHogan, Paul. Stages of Senior Care. New York: McGraw-Hill, 2009.
Find full textDunn, Louise. The Senior Respite Care Program. [Washington, D.C.?: Office of Technology Assessment, 1986.
Find full textRavani, Bahram. CAD Based Programming for Sensory Robots. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988.
Find full textAmerican Association of Feline Practitioners. Panel report on feline senior care. Albuquerque, NM: American Association of Feline Practitioners and the Academy of Feline Medicine, 1998.
Find full textComplete Legal Guide to Senior Care. Naperville: Sourcebooks, Inc., 2005.
Find full text1953-, Ravani Bahram, and North Atlantic Treaty Organization. Scientific Affairs Division., eds. CAD based programming for sensory robots. Berlin: Springer-Verlag, 1988.
Find full textRavani, Bahram, ed. CAD Based Programming for Sensory Robots. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83625-1.
Full textSenior housing 101: Your basic field guide to understanding today's complex senior housing market. [S.l: s.n., 2007.
Find full textIdziak, Janine Marie. Organizational ethics in senior health care services. Dubuque, Iowa: Simon & Kolz Pub., 2003.
Find full textBook chapters on the topic "Car sensor"
Coburn, Joseph. "Distance Sensor." In Build Your Own Car Dashboard with a Raspberry Pi, 257–63. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6080-7_13.
Full textCoburn, Joseph. "Boot Sensor." In Build Your Own Car Dashboard with a Raspberry Pi, 187–206. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6080-7_8.
Full textCoburn, Joseph. "Light Sensor." In Build Your Own Car Dashboard with a Raspberry Pi, 207–17. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6080-7_9.
Full textJain, Ruby, Nidhi Tiwari, Devendra Kumar Prajapati, Akhilesh Upadhyay, and Mukesh Yadav. "Car Accident Prevention Using Alcohol Sensor." In Algorithms for Intelligent Systems, 619–23. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6707-0_61.
Full textJian, Huang. "Design of Tracing Car Based on Photoelectric Sensor." In Advances in Intelligent Systems and Computing, 1401–5. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15235-2_194.
Full textAbulkhair, Maysoon, Lujain Mulla, Amani Aldahiri, Hanin Alkhatabi, Hala Alonezi, and Somia Razzaq. "Sensor Oriented Approach to Prevent Hyperthermia for Children in Car." In Advances in Intelligent Systems and Computing, 635–40. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41682-3_53.
Full textHintea, Diana, James Brusey, Elena Gaura, Neil Beloe, and David Bridge. "Mutual Information-Based Sensor Positioning for Car Cabin Comfort Control." In Knowledge-Based and Intelligent Information and Engineering Systems, 483–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23854-3_51.
Full textVergnano, Alberto, Alberto Muscio, and Francesco Leali. "Sensor Matrix Robustness for Monitoring the Interface Pressure Between Car Driver and Seat." In Human Systems Engineering and Design II, 229–35. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27928-8_35.
Full textSchnürmacher, Michael, Daniel Göhring, Miao Wang, and Tinosch Ganjineh. "High Level Sensor Data Fusion of Radar and Lidar for Car-Following on Highways." In Recent Advances in Robotics and Automation, 217–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37387-9_17.
Full textSehgal, Ridhima. "Drive into Future World Using Artificial Intelligence with Its Application in Sensor-Based Car Without Driver." In Advances in Information Communication Technology and Computing, 165–72. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5421-6_16.
Full textConference papers on the topic "Car sensor"
Zheng, Yanxu, Sutharshan Rajasegarar, Christopher Leckie, and Marimuthu Palaniswami. "Smart car parking: Temporal clustering and anomaly detection in urban car parking." In 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE, 2014. http://dx.doi.org/10.1109/issnip.2014.6827618.
Full textKaji, Kiyokane, Seiichi Matsushige, Masanobu Kanamaru, Juhei Takahashi, and Shogo Asano. "Development of Knock Sensor." In Passenger Car Meeting & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1986. http://dx.doi.org/10.4271/861375.
Full textMori, Kazuyuki, Yasuhiro Shiraishi, and Masami Kuribayashi. "An Intermittent Wiper System with a Raindrop Sensor." In Passenger Car Meeting & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1985. http://dx.doi.org/10.4271/851637.
Full textIshiguro, Yasuo, Yoshito Katoh, Chisao Hayashi, Mistuo Koide, Masaru Nakano, and Hirohito Minoshima. "Development of a Real Time Sensor Feedback Robot." In Passenger Car Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1990. http://dx.doi.org/10.4271/901706.
Full textTsai, H. M., C. Saraydar, T. Talty, M. Ames, A. Macdonald, and O. K. Tonguz. "ZigBee-based Intra-car Wireless Sensor Network." In 2007 IEEE International Conference on Communications. IEEE, 2007. http://dx.doi.org/10.1109/icc.2007.653.
Full textZeitler, Wolfgang, and David Wybo. "Enhanced Sensor Fusion for Car Safety Applications." In SAE 2006 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2006. http://dx.doi.org/10.4271/2006-01-0598.
Full textBertoldo, S., C. Lucianaz, and M. Allegretti. "Car as a moving meteorological integrated sensor." In 2017 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC). IEEE, 2017. http://dx.doi.org/10.1109/apwc.2017.8062239.
Full textHasicic, Mehrija, Damir Bilic, and Harun Siljak. "Sensor fusion for Solar Car Route Optimization." In 2016 5th Mediterranean Conference on Embedded Computing (MECO). IEEE, 2016. http://dx.doi.org/10.1109/meco.2016.7525691.
Full textIriciuc, Victor Andrei, and Aurelian Kotlar. "Sensor Monitoring System for Formula Student Car." In 2018 IEEE 24th International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2018. http://dx.doi.org/10.1109/siitme.2018.8599259.
Full textBenson, J., T. O'Donovan, P. O'Sullivan, U. Roedig, C. Sreenan, J. Barton, A. Murphy, and B. O'Flynn. "Car-Park Management using Wireless Sensor Networks." In 2006 31st IEEE Conference on Local Computer Networks. IEEE, 2006. http://dx.doi.org/10.1109/lcn.2006.322020.
Full textReports on the topic "Car sensor"
Waraniak, John. Unsettled Issues on Sensor Calibration for Automotive Aftermarket Advanced Driver-Assistance Systems. SAE International, March 2021. http://dx.doi.org/10.4271/epr2021008.
Full textKuznetsov, Victor, Vladislav Litvinenko, Egor Bykov, and Vadim Lukin. A program for determining the area of the object entering the IR sensor grid, as well as determining the dynamic characteristics. Science and Innovation Center Publishing House, April 2021. http://dx.doi.org/10.12731/bykov.0415.15042021.
Full textQuian, Wei. The CAD Method for Microcalcification Detection: Independent of Sensor and Resolution. Fort Belvoir, VA: Defense Technical Information Center, July 2001. http://dx.doi.org/10.21236/ada397032.
Full textQian, Wei. The CAD Method for Microcalcification Detection: Independent of Sensor and Resolution. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada409482.
Full textQian, Wei. The CAD Method for Microcalcification Detection: Independent of Sensor and Resolution. Fort Belvoir, VA: Defense Technical Information Center, July 2000. http://dx.doi.org/10.21236/ada391206.
Full textVreeland, Heidi, Christina Norris, Lauren Shum, Jaya Pokuri, Emily Shannon, Anmol Raina, Ayushman Tripathi, et al. Collaborative Efforts to Investigate Emissions From Residential and Municipal Trash Burning in India. RTI Press, September 2018. http://dx.doi.org/10.3768/rtipress.2018.rb.0019.1809.
Full textEckman, Stephanie, Joe Eyerman, and Dorota Temple. Unmanned Aircraft Systems Can Improve Survey Data Collection. RTI Press, June 2018. http://dx.doi.org/10.3768/rtipress.2018.rb.0018.1806.
Full textYang, Xianfeng Terry. Vehicle Sensor Data (VSD) Based Traffic Control in Connected Automated Vehicle (CAV) Environment. Transportation Research and Education Center (TREC), 2018. http://dx.doi.org/10.15760/trec.212.
Full textYan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.
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