1,725 research outputs found

    POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors

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    For vehicle autonomy, driver assistance and situational awareness, it is necessary to operate at day and night, and in all weather conditions. In particular, long wave infrared (LWIR) sensors that receive predominantly emitted radiation have the capability to operate at night as well as during the day. In this work, we employ a polarised LWIR (POL-LWIR) camera to acquire data from a mobile vehicle, to compare and contrast four different convolutional neural network (CNN) configurations to detect other vehicles in video sequences. We evaluate two distinct and promising approaches, two-stage detection (Faster-RCNN) and one-stage detection (SSD), in four different configurations. We also employ two different image decompositions: the first based on the polarisation ellipse and the second on the Stokes parameters themselves. To evaluate our approach, the experimental trials were quantified by mean average precision (mAP) and processing time, showing a clear trade-off between the two factors. For example, the best mAP result of 80.94% was achieved using Faster-RCNN, but at a frame rate of 6.4 fps. In contrast, MobileNet SSD achieved only 64.51% mAP, but at 53.4 fps.Comment: Computer Vision and Pattern Recognition Workshop 201

    Systematic Racism in the U.S.: Disproportionate African American Maternal Mortality Rates

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    Black mothers in the United States have significantly higher mortality rates than all other American racial or ethnic groups, even when factors such as education, income, and overall health are controlled for. We considered whether life experiences of systemic racism contribute to poor maternal health for black women. Through literary analysis and an interview with a medical anthropologist, we found indications that higher incidences of maternal mortality are not due to genetic factors shared among African-American women. Rather, along with other cultural factors, continuous exposure to racism strains the body in ways that negatively impact maternal health. Our research highlights the often misunderstood health outcomes of black mothers in the United States that results from a system of inequality.https://orb.binghamton.edu/research_days_posters_spring2020/1038/thumbnail.jp

    Classifying objects in LWIR imagery via CNNs

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    Fusion of Diverse Performance Inertial Sensors for Improved Attitude Estimation Within a Stabilisation Platform for Electro-optic Systems

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    Within line of sight pointing and stabilisation of EO (Electro-optic) systems operating under motion disturbances it is desirable to measure the inertial orientation of different parts of the system, not just the line of sight - this would allow additional information to be added to the control loop. To implement this a framework to fuse the multiple inertial sensors of the EO system is considered, with an example implemented. The fusion of higher performance sensors located at the line of sight is implemented within the proposed framework, to improve the performance of the estimate at the location of the lower performance sensor. The fusion framework makes use of cascaded Multiplicative Extended Kalman Filter that estimate the multiplicative error of the quaternion orientation estimate

    POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors

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    The Ursinus Weekly, April 22, 1940

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    Speakers urge more humor, courtesy and Christian living at all-Ursinus conference • Governor names Mr. Helfferich to Pa. educ. council • Next forum to present Dr. Everett R. Clinchy • Women to hold hobby conference, Wednesday • F.D.R. wins straw vote at Harrisburg conclave • Daniel Reed to do monologues on Spoon River Anthology • Ursinus is represented by three at TKA convention • Barnard upholds Amer. govt. for basic pol. science class • Historical encyclopedia contains articles by Carter • Pres. McClure will address Girard College student body • Fireside chats analyze Christianity in college • Co-eds rush preparation for medieval May pageant: The King\u27s daughters • Registrar Sheeder addresses Pennsburg School assembly • I.R.C. will sponsor mock trial of Hitler • Club hears talk in French • German Club holds quiz • Physician talks to pre-meds. on causes of eye diseases • Team eyes weather as busy program appears • Jingmen down Lehigh in season opener, 2-0 • Seven girl courtsters to be honored Wed. • Callow thinks job is to form impressions • Jayvees hopeful for beginner with Perkiomen on Wednesday • Twelve aspirants report for tennis; to meet Mules Wed. • Cricket season to start with game at Princeton, Saturday • Cliff Calvert to coach baseball and football for Merchantville • Jing Johnson\u27s career includes coaching at Bucknell and Lehigh • Preceptresses addressed by ex-dean of women at Whittier • Alspach names John Wise head of class day committee • Seven from Ursinus attend collegiate chemistry meeting • Meistersingers close season; group attends opera Aida • Pre-meds arrange for trip to visit centers of medicine • Dr. White injured • Allen to speak at English Clubhttps://digitalcommons.ursinus.edu/weekly/1841/thumbnail.jp

    State-related electroencephalographic deviances in attention deficit hyperactivity disorder

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    The dynamic security region (DSR) of bulk power system has been accepted more and more in recent years for providing plenty of security information and good prospect in online application. This paper compares three linear approximations for the dynamic security region of network-reduction power systems. The three linear approximations are the Q-linear approximation based on the quadratic approximation of stability region, the L-linear approximation based on the linear approximation of stability region and the L0-linear approximation based on the invariant assumption of the normal vector for the boundary of the stability region corresponding to different control variable. The three linear approximations are all obtained with a same critical point lying just on the boundary of dynamic security region. The critical point is searched with numerical simulation. The accuracy of the three linear approximations is compared, using the linear approximation obtained with the curve fitting approach or the actual boundary of DSR searched as the benchmark. Simulation results in IEEE 3-machine 9-bus system and 10-machine 39-bus New England system show that all the three linear approximations display fairly accurate estimation. Furthermore, from the computational viewpoint, the L-linear and the L0-linear method are two alternative choices to approximate the dynamic security region.link_to_subscribed_fulltex
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