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Dataset results
19 results for “visual driving”
Interactive maps for the visualization of ESRIUM automated driving tests with various EGNSS localization solutions
<p>In order to make the test results available to a broader audience in an easy manner, we have generated interactive maps. These maps are attached to this report and can be viewed in a web-browser. </p><p>Due to the large number of datasets, we have color-coded them on the map and in the menu. An arbitrary number of datasets can be selected at a time.</p><p>Due to the high accuracy of the EGNSS receivers, one can clearly identify the lane on which the vehicle was driving, and where the vehicle was performing a lane-change. However, the satellite/areal-images are not perfectly geo-referenced, thus one can notice a slight offset between satellite/areal-images and real-world lanes.</p><p> </p><p><strong>How to use the map?</strong></p><ul><li>The map can be used in a similar manner than other map-applications, such as google maps. By using the mouse, you can set the focus on the area of your interest. By using the +/- buttons (top left), you can zoom in/out.</li><li>By hovering over the layer-symbol (top right), a popup emerges. Here, you can select different background-tiles (such as satellite/areal-images). In addition, you can select different datasets which should be visualized on the map.</li></ul><p><strong>Background-tiles:</strong></p><ul><li>Basemap – Sat - Satellite/Areal images (from Basemap) -Symbolic map with high resolution (from Basemap)</li><li>Basemap – HighDPI Symbolic map with high resolution (from Basemap)</li><li>OpenStreetMap - Symbolic map (from OpenStreetMap)</li><li>OpenTopoMap - Symbolic map including topology information (from OpenTopoMap)</li></ul><p><strong>Datasets:</strong></p><ul><li>GNSS (Vehicle) - Position of vehicle, according to on-board GPS receiver</li><li>EGNSS (AsteRx SB3 Pro+) - Position of vehicle, according to AsteRx SB3 Pro+ receiver</li><li>EGNSS (mosaic-X5) - Position of vehicle, according to mosaic-X5 receiver</li><li>EGNSS (mosaic-H) - Position of vehicle, according to mosaic-H receiver</li><li>PVT Mode: EGNSS (AsteRx SB3 Pro+) - PVT Mode of AsteRx SB3 Pro+ receiver</li><li>PVT Mode: EGNSS (mosaic-X5) - PVT Mode of mosaic-X5 receiver</li><li>PVT Mode: EGNSS (mosaic-H) - PVT Mode of mosaic-H receiver</li><li>in-lane Offset Change-Request - Position, at which an in-lane offset change (relative to middle of the current lane) was requested via C-ITS</li><li>Lane Change to left - Position, at which a lane-change towards left was performed </li><li>Lane Change to right - Position, at which a lane-change towards right was performed</li></ul><p>Interactive maps are attached are two precision levels one with 4 and the other in 7 digits. The list files and the corresponding test conditions are listed below. </p><p>Test velocities [km/h]: 90, 110, 130 </p><p>interactive map files: </p><p>speed: 90 km/h</p><ul><li>Testrun_01.html</li><li>Testrun_03.html</li><li>Testrun_04.html</li></ul><p>speed: 110 km/h</p><ul><li>Testrun_05.html</li><li>Testrun_06.html</li><li>Testrun_07.html</li></ul><p>speed: 130 km/h </p><ul><li>Testrun_08.html</li><li>Testrun_09.html</li><li>Testrun_10.html</li></ul>
Multi-segment phase coupling to oscillatory visual drive, Gait & Posture (2021): Data
<p>Data set accompanying the publication:</p> <p>Engel, D., Schwenk, J., Schütz, A., Morris, A. P., & Bremmer, F. (2021). Multi-segment phase coupling to oscillatory visual drive. <em>Gait & posture</em>, <em>86</em>, 132–138.</p> <p><a href="https://doi.org/10.1016/j.gaitpost.2021.03.010">https://doi.org/10.1016/j.gaitpost.2021.03.010</a></p>
Perceiving tempo in incongruent audiovisual presentation of human motion: Evidence for a visual driving effect
<p>The video set includes 81 audiovisual stimuli which served in the bisection experiment of the study "Perceiving tempo in incongruent audiovisual presentation of human motion: Evidence for a visual driving effect". The auditory sound tracks (bass drum) and visual stimuli (point-light displays of biological motions) each cover the tempo range from 60 to 180BPM, 15BPM per step. Coupling of the stimuli from both modalities results in 81 stimuli in total. </p>
Perceiving Tempo in Incongruent Audiovisual Presentations of Human Motion: Evidence for a Visual Driving Effect
<p>Data set from the study published in Timing & Time Perception.</p>
Data for: Inhibition drives habituation of a larval zebrafish visual response
<p>Habituation allows animals to learn to ignore persistent but inconsequential stimuli. Despite being the most basic form of learning, a consensus model on the underlying mechanisms has yet to emerge. To probe relevant mechanisms we took advantage of a visual habituation paradigm in larval zebrafish, where larvae reduce their reactions to abrupt global dimming (a dark flash). Using Ca<sup>2+</sup> imaging during repeated dark flashes, we identified 12 functional classes of neurons that differ based on their rate of adaptation, stimulus response shape, and anatomical location. While most classes of neurons depressed their responses to repeated stimuli, we identified populations that did not adapt, or that potentiated their response. To identify molecular players, we used a small molecule-screening approach to search for compounds that alter habituation learning. Among the pathways we identified were Melatonin and Estrogen signaling, as well as GABAergic inhibition. By analyzing which functional classes of neurons are GABAergic, and the result of pharmacological manipulations of the circuit, we propose that GABAergic inhibitory motifs drive habituation, perhaps through the potentiation of GABAergic synapses. Our results have identified multiple molecular pathways and cell types underlying a form of long-term plasticity in a vertebrate brain, and allow us to propose the first iteration of a model for how and where this learning process occurs.</p>
Bioluminescence and environmental light drive the visual evolution of deep-sea shrimp (Oplophoroidea)
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Data for: Inhibition drives habituation of a larval zebrafish visual response
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Data from: Simple visual stimuli are sufficient to drive responses in action observation and execution neurons in the macaque ventral premotor cortex
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Data from: Differential survival between visual environments supports a role of divergent sensory drive in cichlid fish speciation
Identifying the selective forces that initiate ecological speciation is a major challenge in evolutionary biology. Sensory drive has been implicated in speciation in various taxa, largely based on phenotype-environment correlations and signatures of selection in sensory genes. Here, we present a reciprocal transplant experiment revealing species differences in performance in alternative visual environments, consistent with speciation by divergent sensory drive. The closely related cichlids Pundamilia pundamilia and P. nyererei inhabit different visual environments in Lake Victoria and show associated differences in visual system properties. Mimicking the two light environments in the laboratory, we find a substantial reduction in survival of both species when reared in the other species' visual environment. This implies that the observed differences in Pundamilia colour vision are indeed adaptive, and substantiates the implicit assumption in sensory drive speciation models that divergent environmental selection is strong enough to drive divergence in sensory properties.
Can sensory drive explain the evolution of visual signal diversity in terrestrial species? A test with Anolis lizards
<p>Animal signal colors evolve to efficiently stimulate conspecific visual systems. The sensory drive hypothesis proposes that species differences in habitat light conditions favor the evolution of color diversity. The strongest support comes from aquatic systems, while terrestrial systems offer fewer convincing examples. Anolis lizards occupy diverse habitats and signal with a colorful dewlap. Dewlap visibility depends on perceived chromatic contrast with the background. Visual-system modeling has shown that red dewlaps are most visible in most habitat types. However, a majority of species possess white or yellow dewlaps. In a recent behavioral study we showed that low light conditions can sometimes make yellow and white colors more visible, by altering chromatic contrast perception with the background. Using 17 Caribbean Anolis species we showed that cut-on wavelength, a measure of dewlap color in a white-to-red continuum, correlates with habitat light intensity. Pairwise comparisons revealed that red dewlaps are most visible in bright habitats, whereas yellow and white are more visible in darker habitats. We conclude that sensory drive has contributed to the evolution of dewlap color differences through the interactive effects of total habitat light intensity and chromatic contrast perception and may provide a mechanism for speciation among anoles.</p>
Data for: A test of Sensory Drive in plant-pollinator interactions: habitat heterogeneity shapes pollinator preference for a floral visual signal
<p>DATA:</p> <p>FinnKoski_PollData_Final: Pollinator visitation data to floral arrays analyzed</p> <p>Spectra used for vismodels.zip: reflectance spectra of flowers and floral backgrounds, irradiance spectra</p> <p>ColorContrastData: visual contrast data analyzed</p> <p>CODE: </p> <p>vismod_code.R : code used for visual system modeling and calculation of contrast</p> <p>SAS_modelcode.R: SAS code used to analyze pollinator visitation data and color contrast data</p>
Visual recognition and coevolutionary history drive responses of amphibians to an invasive predator
<p><span>During biotic invasions, native prey are abruptly exposed to novel predators and are faced with unprecedented predatory pressures. Under these circumstances, the lack of common evolutionary history may hamper predator recognition by native prey, undermining the expression of effective anti-predatory responses. Nonetheless, mechanisms allowing prey to overcome evolutionary naïveté exist. For instance, in naïve prey, history of coevolution with similar native predators or recognition of general traits characterizing predators can favor recognition of stimuli released by invasive predators. However, few studies assessed how these mechanisms shape prey response at the community level. Here, we evaluated behavioral responses in naïve larvae of 13 amphibian species to chemical and visual cues associated with an invasive predator, the American red swamp crayfish (<em>Procambarus clarkii</em>). Moreover, we investigated how variation among species responses was related to their coexistence with a similar native crayfish predator. Amphibian larvae altered their behavior in presence of visual stimuli of the alien crayfish, while chemical cues elicited feeble and contrasting behavioral shifts. Activity reduction was the most common and stronger response, whereas in some species we detected more heterogeneous strategies also involving distancing and rapid escape response. Interestingly, species sharing coevolutionary history with the native crayfish were able to finely tune their response to the invasive one, performing bursts to escape. These results suggest native prey can respond to invasive predators through recognition of generic risk cues (e.g., approaching large shapes), still the capability of modulating anti-predator strategies may also depend on their coevolutionary history with similar native predators. </span></p>
Effectiveness of AV-stimulation in Immersive VR to Improve Visual Perception and Driving Performance
ClinicalTrials.gov study NCT05703360. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Can sensory drive explain the evolution of visual signal diversity in terrestrial species? A test with Anolis lizards
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Data from: Differential survival between visual environments supports a role of divergent sensory drive in cichlid fish speciation
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Visual recognition and coevolutionary history drive responses of amphibians to an invasive predator
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Landscape heterogeneity and novelty drive avian oscillatory flight behaviour during forebrain Wulst-Dependent visual map learning
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The Value of Visual Field Examination in Driving Licence.
ClinicalTrials.gov study NCT04671550. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Evaluation of Visual Function and Driving Health Using Ocusweep in Patients Suffering From Wet Age-related Macular Degeneration
ClinicalTrials.gov study NCT02747368. IPD Sharing: NO. Countries: 0. Publications: 0.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.