Academic literature on the topic 'Outdoor environments'
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Journal articles on the topic "Outdoor environments"
Li, Jing, and Yu Liu. "Study on Design Strategies for Improving Outdoor Thermal Comfort in the Cold Regions of China." Advanced Materials Research 250-253 (May 2011): 3798–801. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.3798.
Full textLoebach, Janet, and Adina Cox. "Tool for Observing Play Outdoors (TOPO): A New Typology for Capturing Children’s Play Behaviors in Outdoor Environments." International Journal of Environmental Research and Public Health 17, no. 15 (August 4, 2020): 5611. http://dx.doi.org/10.3390/ijerph17155611.
Full textRappe, Erja, Sirkka-Liisa Kivelä, and Hannu Rita. "Visiting Outdoor Green Environments Positively Impacts Self-rated Health among Older People in Long-term Care." HortTechnology 16, no. 1 (January 2006): 55–59. http://dx.doi.org/10.21273/horttech.16.1.0055.
Full textMakarskaitė-Petkevičienė, Rita. "LAUKO EDUKACINĖS ERDVĖS: IDĖJOS IR NAUJOS UGDYMO GALIMYBĖS [OUTDOOR EDUCATIONAL ENVIRONMENTS: IDEAS AND NEW EDUCATIONAL POSSIBILITIES]." ŠVIETIMAS: POLITIKA, VADYBA, KOKYBĖ / EDUCATION POLICY, MANAGEMENT AND QUALITY 10, no. 2 (December 5, 2018): 75–90. http://dx.doi.org/10.48127/spvk-epmq/18.10.75.
Full textSaorin, Jose Luis, Carlos Carbonell-Carrera, Allison J. Jaeger, and Dámari Melián Díaz. "Landscape Design Outdoor–Indoor VR Environments User Experience." Land 12, no. 2 (January 30, 2023): 376. http://dx.doi.org/10.3390/land12020376.
Full textMorales, Yoichi, and Takashi Tsubouchi. "2P2-C11 Vehicle Localization on Outdoor Woodland Environments." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2008 (2008): _2P2—C11_1—_2P2—C11_4. http://dx.doi.org/10.1299/jsmermd.2008._2p2-c11_1.
Full textDuchowny, Kate, Philippa Clarke, Nancy Ambrose Gallagher, Robert Adams, Andrea L. Rosso, and Neil B. Alexander. "Using Mobile, Wearable, Technology to Understand the Role of Built Environment Demand for Outdoor Mobility." Environment and Behavior 51, no. 6 (January 1, 2018): 671–88. http://dx.doi.org/10.1177/0013916517749256.
Full textQian, Feng, and Li Yang. "The Green Building Environment of the Gymnasium." Applied Mechanics and Materials 878 (February 2018): 202–9. http://dx.doi.org/10.4028/www.scientific.net/amm.878.202.
Full textLaze, Kuenda. "Assessing public perceptions about road lighting in five neighborhoods of Tirana, Albania." International Journal of Sustainable Lighting 21, no. 2 (December 1, 2019): 38–46. http://dx.doi.org/10.26607/ijsl.v21i02.84.
Full textWinter, Stephan. "Indoor Spatial Information." International Journal of 3-D Information Modeling 1, no. 1 (January 2012): 25–42. http://dx.doi.org/10.4018/ij3dim.2012010102.
Full textDissertations / Theses on the topic "Outdoor environments"
Noronha, Joseph Ajay Neil. "Ultrawideband Channel Sounding Studies in Outdoor and Outdoor-Indoor Environments." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/10006.
Full textMaster of Science
Kwon, Ju Youn. "Human responses to outdoor thermal environments." Thesis, Loughborough University, 2009. https://dspace.lboro.ac.uk/2134/5519.
Full textRosenquist, Calle, and Andreas Evesson. "Visual Servoing In Semi-Structured Outdoor Environments." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-653.
Full textThe field of autonomous vehicle navigation and localization is a highly active research
topic. The aim of this thesis is to evaluate the feasibility to use outdoor visual navigation in a semi-structured environment. The goal is to develop a visual navigation system for an autonomous golf ball collection vehicle operating on driving ranges.
The image feature extractors SIFT and PCA-SIFT was evaluated on an image database
consisting of images acquired from 19 outdoor locations over a period of several weeks to
allow different environmental conditions. The results from these tests show that SIFT-type
feature extractors are able to find and match image features with high accuracy. The results also show that this can be improved further by a combination of a lower nearest neighbour threshold and an outlier rejection method to allow more matches and a higher ratio of correct matches. Outliers were found and rejected by fitting the data to a homography model with the RANSAC robust estimator algorithm.
A simulator was developed to evaluate the suggested system with respect to pixel noise from illumination changes, weather and feature position accuracy as well as the distance to features, path shapes and the visual servoing target image (milestone) interval. The system was evaluated on a total of 3 paths, 40 test combinations and 137km driven. The results show that with the relatively simple visual servoing navigation system it is possible to use mono-vision as a sole sensor and navigate semi-structured outdoor environments such as driving ranges.
Tanase, Cristina-Madalina. "Multi-person tracking system for complex outdoor environments." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-245082.
Full textPitman, David (David J. ). "Collaborative Micro Aerial Vehicle exploration of outdoor environments." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61318.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 121-124).
Field personnel, such as soldiers, police SWAT teams, and first responders, face challenging, dangerous environments, often with little advance knowledge or information about their surroundings. Currently, this Intelligence, Surveillance & Reconnaissance (ISR) information is provided by satellite imagery and prior or second-hand experiences. Although satellite imagery is currently the preferred method for gaining Situational Awareness (SA) about an outdoor environment, it has many shortcomings. Unclassified satellite imagery maps available to these field personnel are flat images, with no elevation information and fixed points of view. These maps are often outdated, and, due to shadows and shading, give false impressions of elevations and details of the environment. Critical features of buildings, such as doorways and windows are hidden from view. Combined, these flaws often give field personnel a false mental model of their environment. Given the need of these personnel to simultaneously perform a primary task, such as finding a Person of Interest (POI), as well as explore the environment, an autonomous robot would allow these groups to better perform ISR and improve their SA in real-time. Recent efforts have led to the creation of Micro Aerial Vehicles (MAVs), a class of Unmanned Aerial Vehicle (UAV), which are small and have autonomous capabilities. At most a few feet in size, a MAV can hover in place, perform Vertical Take-Off and Landing, and easily rotate with a small sensor payload. The compact size of these vehicles and their maneuvering capabilities make them well-suited for performing highly localized ISR missions with MAV operator working within the same environment as the vehicle. Unfortunately, existing interfaces for MAVs ignore the needs of field operators, requiring bulky equipment and the operator's full attention. To be able to collaboratively explore an environment with a MAV, an operator needs a mobile interface which can support the need for divided attention. To address this need, a Cognitive Task Analysis (CTA) was performed with the intended users of the interface to assess their needs, as well as the roles and functions a MAV could provide. Based on this CTA, a set of functional and information requirements were created which outlined the necessities of an interface for exploring an environment with a MAV. Based on these requirements, the Micro Aerial Vehicle Exploration of an Unknown Environment (MAVVUE) interface was designed and implemented. Using MAV-VUE, operators can navigate the MAV using waypoints, which requires little attention. When the operator needs more fine-grained control over the MAV's location and orientation, in order to obtain imagery or learn more about an environment, he or she can use the Nudge Control mode. Nudge Control uses Perceived First Order (PFO) control to allow an operator effectively "fly" a MAV with no risk to the vehicle. PFO control, which was invented for MAV-VUE, utilizes a 0th order feedback control loop to fly the MAV, while presenting 1st order controls to the operator. A usability study was conducted to evaluate MAV-VUE. Participants were shown a demonstration of the interface and only given three minutes of training before they performed the primary task. During this task, participants were given search and identify objectives, MAV-VUE installed on an iPhone@ and an actual MAV to explore a GPS-simulated urban environment. Participants performed well at the task, with thirteen of fourteen successfully performing their objectives with no crashes or collisions. Several statistically significant correlations were found between participants' performance and their usage of the interface. Operators who were more patient and had higher scores on a spatial orientation pretest tended to have more precise MAV control. Future design and implementation recommendations learned from this study are discussed.
by David Pitman.
M.Eng.
ALHAJ, ALI SOUMA MAHMOUD. "TECHNOLOGIES FOR AUTONOMOUS NAVIGATION IN UNSTRUCTURED OUTDOOR ENVIRONMENTS." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1064404165.
Full textAli, Souma M. A. "Technologies for autonomous navigation in unstructurted outdoor environments." Cincinnati, Ohio : University of Cincinnati, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=ucin1064404165.
Full textHenderson, D. G. E., and n/a. "Botanic gardens as outdoor museums." University of Canberra. Landscape Architecture, 1996. http://erl.canberra.edu.au./public/adt-AUC20060720.153832.
Full textAsmar, Daniel. "Vision-Inertial SLAM using Natural Features in Outdoor Environments." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2843.
Full textThe above issues are addressed as follows. Firstly, a camera is used to recognize the environmental context (e. g. , indoor office, outdoor park) by analyzing the holistic spectral content of images of the robot's surroundings. A type of feature (e. g. , trees for a park) is then chosen for SLAM that is likely observable in the recognized setting. A novel tree detection system is introduced, which is based on perceptually organizing the content of images into quasi-vertical structures and marking those structures that intersect ground level as tree trunks. Secondly, a new tree recognition system is proposed, which is based on extracting Scale Invariant Feature Transform (SIFT) features on each tree trunk region and matching trees in feature space. Thirdly, dead-reckoning is performed via an Inertial Navigation System (INS), bounded by non-holonomic constraints. INS are insensitive to slippage and varying ground conditions. Finally, the developed Computer Vision and Inertial systems are integrated within the framework of an Extended Kalman Filter into a working Vision-INS SLAM system, named VisSLAM.
VisSLAM is tested on data collected during a real test run in an outdoor unstructured environment. Three test scenarios are proposed, ranging from semi-automatic detection, recognition, and initialization to a fully automated SLAM system. The first two scenarios are used to verify the presented inertial and Computer Vision algorithms in the context of localization, where results indicate accurate vehicle pose estimation for the majority of its journey. The final scenario evaluates the application of the proposed systems for SLAM, where results indicate successful operation for a long portion of the vehicle journey. Although the scope of this thesis is to operate in an outdoor park setting using tree trunks as landmarks, the developed techniques lend themselves to other environments using different natural objects as landmarks.
Bhatia, Nimmi. "Mitigation of hyperthermia in outdoor environments for the elderly." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq24443.pdf.
Full textBooks on the topic "Outdoor environments"
The healing landscape: Therapeutic outdoor environments. New York: McGraw-Hill, 1998.
Find full textillustrator, Ingham Kerry, ed. Little book of outdoor play. London: Featherstone Education, 2013.
Find full textPlayground design: Outdoor environments for learning and development. New York: Van Nostrand Reinhold, 1985.
Find full textGinny, Sullivan, ed. Lens on outdoor learning. St. Paul, MN: Redleaf Press, 2011.
Find full textWhite, Jan. Playing and learning outdoors: Making provision for high quality experiences in the outdoor environment. New York: Routledge, 2007.
Find full textStine, Sharon. Landscapes for learning: Creating outdoor environments for children and youth. New York: J. Wiley & Sons, 1997.
Find full textCultivating outdoor classrooms: Designing and implementing child-centered learning environments. St. Paul, MN: Redleaf Press, 2012.
Find full textDannenmaier, Molly. A child's garden: Enchanting outdoor spaces for children and parents. New York: Simon & Schuster, 1998.
Find full textPlants for play: A plant selection guide for children's outdoor environments. Berkeley, Calif: MIG Communications, 1993.
Find full textSlaughter, R. M. Managing the change process involved in developing schools' outdoor learning environments. [Guildford]: University of Surrey, 1993.
Find full textBook chapters on the topic "Outdoor environments"
Caneva, G., R. Piervittori, and A. Roccardi. "Outdoor Environments." In Cultural Heritage and Aerobiology, 225–33. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0185-3_10.
Full textPleasants, Kathleen, and Noel Gough. "Worldviews, Environments and Education." In International Explorations in Outdoor and Environmental Education, 27–38. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75980-3_3.
Full textKing, Jason, Eric Brymer, and Katherine Dashper. "A different way forward: an ecological perspective on leadership in outdoor adventurous activity." In Leisure activities in the outdoors: learning, developing and challenging, 147–59. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789248203.0012.
Full textCooke, Fiona. "Fear, Fiction and Facts: Animals in Outdoor Learning Environments." In Contemporary Approaches to Outdoor Learning, 23–37. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85095-1_3.
Full textLand, Susan M., Heather T. Zimmerman, Gi Woong Choi, Brian J. Seely, and Michael R. Mohney. "Design of Mobile Learning for Outdoor Environments." In Educational Media and Technology Yearbook, 101–13. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14188-6_8.
Full textReina, Giulio, James Underwood, and Graham Brooker. "Short-Range Radar Perception in Outdoor Environments." In Towards Autonomous Robotic Systems, 265–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23232-9_24.
Full textHammerman, Elizabeth L., and Donald R. Hammerman. "Extending Teachers’ Work to Outdoor Learning Environments." In Transforming Teachers’ Work Globally, 35–53. Rotterdam: SensePublishers, 2013. http://dx.doi.org/10.1007/978-94-6209-470-3_2.
Full textPereira, Guilherme A. S., Luciano C. A. Pimenta, Luiz Chaimowicz, Alexandre R. Fonseca, Daniel S. C. de Almeida, Leonardo de Q. Corrêa, Renato C. Mesquita, and Mario F. M. Campos. "Robot Navigation in Multi-terrain Outdoor Environments." In Experimental Robotics, 331–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-77457-0_31.
Full textSingh, Atinderpal, and Neeraj Rastogi. "Airborne Particles in Indoor and Outdoor Environments." In Airborne Particulate Matter, 47–73. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5387-2_4.
Full textLau, Kevin Ka-Lun, Zheng Tan, Tobi Eniolu Morakinyo, and Chao Ren. "Characteristics of Thermal Comfort in Outdoor Environments." In SpringerBriefs in Architectural Design and Technology, 1–9. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5245-5_1.
Full textConference papers on the topic "Outdoor environments"
Dawei Liu and Moon-Chuen Lee. "Mobile localization in outdoor environments." In 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks (WOWMOM). IEEE, 2008. http://dx.doi.org/10.1109/wowmom.2008.4594873.
Full textMata, Felix, and Christophe Claramunt. "Augmented navigation in outdoor environments." In SIGSPATIAL'13: 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2525314.2525319.
Full textMoreno, Daniel, Sergio F. Ochoa, and Roc Meseguer. "Providing Ubiquitous Positioning in Outdoor Environments." In 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2015. http://dx.doi.org/10.1109/smc.2015.229.
Full textJalali Moghaddam, Marjan, Elham Shaabani, and Reza Safabakhsh. "Crowd Density Estimation for Outdoor Environments." In 8th International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS). ACM, 2015. http://dx.doi.org/10.4108/icst.bict.2014.257913.
Full textPascoal, Rui Miguel, Ana de Almeida, and Rute C. Sofia. "Activity recognition in outdoor sports environments." In UbiComp '19: The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3341162.3349299.
Full textBengoechea, Jose Javier, Arantxa Villanueva, and Rafael Cabeza. "Hybrid eye detection algorithm for outdoor environments." In the 2012 ACM Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2370216.2370365.
Full textCongdao Han, Zhiyu Xiang, Jilin Liu, and Eryong Wu. "Stereo vision based SLAM in outdoor environments." In 2007 IEEE International Conference on Robotics and biomimetics (ROBIO). IEEE, 2007. http://dx.doi.org/10.1109/robio.2007.4522413.
Full textTwigg, Jeffrey, Fikadu Dagefu, Nikhil Chopra, and Brian M. Sadler. "Robotic Parasitic Array Optimization in Outdoor Environments." In 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR). IEEE, 2019. http://dx.doi.org/10.1109/ssrr.2019.8848974.
Full textContreras, Luis, Olivier Kermorgant, and Philippe Martinet. "Efficient Decentralized Collaborative Mapping for Outdoor Environments." In 2018 Second IEEE International Conference on Robotic Computing (IRC). IEEE, 2018. http://dx.doi.org/10.1109/irc.2018.00017.
Full textHaris, Muhammad, Mathias Franzius, and Ute Bauer-Wersing. "Robust Outdoor Self-localization In Changing Environments." In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2019. http://dx.doi.org/10.1109/iros40897.2019.8967549.
Full textReports on the topic "Outdoor environments"
Tezak, Matthew, Cathryn Reyna, Andres Sanchez, Steven Storch, Gabriel Lucero, Danielle Rivera, Yongle Pan, Josh Santarpia, and Sean Kinahan. ENVIRONMENTAL PERSISTANCE OF BIOLOGICAL AEROSOLS IN OUTDOOR AND SIMULATED ENVIRONMENTS. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1876742.
Full textDavid, Philip. Detecting Planar Surfaces in Outdoor Urban Environments. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada487482.
Full textReimann, K. J. Weight losses of marble and limestone briquettes exposed to outdoor environments in the eastern United States. Office of Scientific and Technical Information (OSTI), September 1991. http://dx.doi.org/10.2172/5837333.
Full textReimann, K. J. Weight losses of marble and limestone briquettes exposed to outdoor environments in the eastern United States. Results of exposures, 1984--1988. Office of Scientific and Technical Information (OSTI), September 1991. http://dx.doi.org/10.2172/10118300.
Full textManzello, Samuel L., Sara McAllister, Sayaka Suzuki, Raphaele Blanchi, Elsa Pastor, and Ronchi Enrico. Large outdoor fires and the built environment:. Gaithersburg, MD: National Institute of Standards and Technology, February 2019. http://dx.doi.org/10.6028/nist.sp.1236.
Full textMudge, Christopher R., Kurt D. Getsinger, and Benjamin P. Sperry. Simulated Herbicide Spray Retention on Floating Aquatic Plants as Affected by Carrier Volume and Adjuvant Type. U.S. Army Engineer Research and Development Center, June 2022. http://dx.doi.org/10.21079/11681/44540.
Full textShinde, Victor, G. Asok Kumar, Dheeraj Joshi, and Nikita Madan. Healthy Urban Rivers as a Panacea to Pandemic-Related Stress: How to Manage Urban Rivers. Asian Development Bank Institute, December 2022. http://dx.doi.org/10.56506/vyqu8666.
Full textManzello, Samuel L., Raphaele Blanchi, Michael Gollner, Sara McAllister, Eulalia Planas, Guillermo Rein, Pedro Reszka, and Sayaka Suzuki. Summary of workshop large outdoor fires and the built environment. Gaithersburg, MD: National Institute of Standards and Technology, July 2017. http://dx.doi.org/10.6028/nist.sp.1213.
Full textManzello, Samuel L., Sara McAllister, Sayaka Suzuki, Raphaele Blanchi, Elsa Pastor, and Enrico Ronchi. Large Outdoor Fires and the Built Environment (LOF&BE):. Gaithersburg, MD: National Institute of Standards and Technology, August 2019. http://dx.doi.org/10.6028/nist.sp.1241.
Full textSuzuki, Sayaka, Sara McAllister, Samuel L. Manzello, Alex Filkov, Daniel Gorham, Xinyan Huang, Brian Lattimer, and Maria Theodori. Large Outdoor Fires and the Built Environment (LOF&BE): Summary of Virtual Workshop. National Institute of Standards and Technology, November 2020. http://dx.doi.org/10.6028/nist.sp.1263.
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