Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Danson Evan Garcia"'
Autor:
Danson Evan Garcia, Jason Rebello, Carlos Wang, Steven L. Waslander, Matthew Pitropov, Michael Smart, Krzysztof Czarnecki
Publikováno v:
The International Journal of Robotics Research. 40:681-690
The Canadian Adverse Driving Conditions (CADC) dataset was collected with the Autonomoose autonomous vehicle platform, based on a modified Lincoln MKZ. The dataset, collected during winter within the Region of Waterloo, Canada, is the first autonomou
Publikováno v:
NER
Steady-state visually evoked potentials (SSVEPs) occur due to a repetitive visual stimulus, which results in periodic responses from the visual cortex at the stimulus frequency and its harmonics. Prior studies show that the fundamental SSVEP frequenc
Autor:
Cayden Pierce, Yi Liu, Danson Evan Garcia, Steve Mann, Phillip V. Do, Yi (Summer) Tao, Kai Wen Zheng
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030699628
Using a wearable electroencephalogram (EEG) device, this paper introduces a novel method of quantifying and understanding the visual acuity of the human eye with the steady-state visually evoked potential (SSVEP) technique. This method gives users ea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88525441f90fdcc0a43f308ea7e55523
https://doi.org/10.1007/978-3-030-69963-5_6
https://doi.org/10.1007/978-3-030-69963-5_6
Publikováno v:
SVR
We introduce a novel method of researching, understanding, and visualizing fundamentals of electric machines through the use of augmented reality (AR). The otherwise hidden rotating electromagnetic (EM) fields inside electric motors and generators ar
Publikováno v:
SIBGRAPI
We present a novel way of using one’s eye to capture an image of what it “sees” through the use of steady-state visually-evoked potentials (SSVEP). Existing methods leveraging response patterns for SSVEP visual image reconstruction show lossy r
Publikováno v:
2020 IEEE SENSORS.
We introduce the application of high dynamic range (HDR) technique on radio frequency (RF) signals to increase the dynamic range of these signals beyond the hardware system limitations. To demonstrate this concept, this study uses commercially availa
Publikováno v:
2020 IEEE SENSORS.
We present an efficient and optimal solution to the problem of choosing the gain values for multi-channel HDR composites. This paper explores the methods of finding the optimal gains for a combined high-dynamic-range (HDR) and automatic gain control
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
Automated Driving System (ADS) safety assessment is a crucial step before deployment on public roads. Despite the importance of ADS safety assurance to test ADS reliability, most of the existing work is strongly attached to a single testing data sour
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
Assuring the safety of autonomous vehicles is one of the most significant challenges in the automotive industry. Tech companies and automotive manufacturers use the idea of Operational Design Domain (ODD) to indicate where their Automated Driving Sys
Publikováno v:
SMC
We introduce a novel use of wearable technology to reconstruct and output high dynamic range (HDR) audio signals. The purpose of designing an end-to-end HDR audio wearable device is to create an audio device capable of replicating and even extending