Institution
Ford Motor Company
Company•Dearborn, Michigan, United States•
About: Ford Motor Company is a company organization based out in Dearborn, Michigan, United States. It is known for research contribution in the topics: Internal combustion engine & Signal. The organization has 36123 authors who have published 51450 publications receiving 855200 citations. The organization is also known as: Ford Motor & Ford Motor Corporation.
Topics: Internal combustion engine, Signal, Clutch, Control theory, Torque
Papers published on a yearly basis
Papers
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TL;DR: This paper shows experimentally that the sample variance of the estimated parameters empirically approaches the CRLB when the amount of data used for calibration is sufficiently large, suggesting that the proposed estimator is a minimum variance unbiased estimate of the calibration parameters.
Abstract: This paper reports on an algorithm for automatic, targetless, extrinsic calibration of a lidar and optical camera system based upon the maximization of mutual information between the sensor-measured surface intensities. The proposed method is completely data-driven and does not require any fiducial calibration targets-making in situ calibration easy. We calculate the Cramer-Rao lower bound CRLB of the estimated calibration parameter variance, and we show experimentally that the sample variance of the estimated parameters empirically approaches the CRLB when the amount of data used for calibration is sufficiently large. Furthermore, we compare the calibration results to independent ground-truth where available and observe that the mean error empirically approaches zero as the amount of data used for calibration is increased, thereby suggesting that the proposed estimator is a minimum variance unbiased estimate of the calibration parameters. Experimental results are presented for three different lidar-camera systems: i a three-dimensional 3D lidar and omnidirectional camera, ii a 3D time-of-flight sensor and monocular camera, and iii a 2D lidar and monocular camera.
182 citations
University of Southern California1, University of California, San Francisco2, Baylor University3, University of Tennessee Health Science Center4, University of Miami5, Rush University Medical Center6, University of Washington7, University of California, San Diego8, Ford Motor Company9, Saint Louis University10, Riverside Methodist Hospital11, Virginia Commonwealth University12, Wayne State University13, University of Cincinnati14, University of Pennsylvania15, Carraway Methodist Medical Center16, MedStar Washington Hospital Center17, Boston University18, Georgia Regents University19, University of Louisville20, University of South Florida21, Stanford University22, University of Tennessee23, University of Alabama at Birmingham24, Harvard University25, University of Minnesota26, Eastern Virginia Medical School27, University of Michigan28, Case Western Reserve University29, Jacobi Medical Center30, University of South Carolina31
TL;DR: The period of time after which delays in management incurred by investigations cause increased morbidity and mortality is defined was defined to correlate time with death from esophageal causes, overall complications, esphageal related complications, and surgical intensive care unit length of stay.
Abstract: ObjectiveThe purpose of this study was to define the period of time after which delays in management incurred by investigations cause increased morbidity and mortality. The outcome study is intended to correlate time with death from esophageal causes, overall complications, esophageal related compli
182 citations
TL;DR: In this article, Hoffman et al. investigated the internal stresses in thin sputtered films of Al, V, Zr, Nb and W and found that the electrical conductivity and optical reflectance of the sputtered metal films exhibit abrupt changes in behavior near the transition pressure for compressive stresses.
182 citations
TL;DR: In this paper, a model-order reduction procedure based on the Pade approximation method is used to reduce the partial differential equation model to a low-order system of ordinary differential equations.
182 citations
25 Mar 2002
TL;DR: A regenerative braking system for a parallel hybrid electric vehicle (PHEV) that performs regenerative energy recovery based on vehicle attributes, thereby providing improved performance, efficiency and reliability at minimal additional cost.
Abstract: This paper discusses a regenerative braking system (RBS) for a parallel hybrid electric vehicle (PHEV) that performs regenerative energy recovery based on vehicle attributes, thereby providing improved performance, efficiency and reliability at minimal additional cost. A detailed description of the regenerative braking algorithm is presented along with simulation results from a dynamic model of the PHEV exhibiting the regenerative braking performance.
181 citations
Authors
Showing all 36140 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Anil K. Jain | 183 | 1016 | 192151 |
| Markus Antonietti | 176 | 1068 | 127235 |
| Christopher M. Dobson | 150 | 1008 | 105475 |
| Jack Hirsh | 146 | 734 | 86332 |
| Galen D. Stucky | 144 | 958 | 101796 |
| Federico Capasso | 134 | 1189 | 76957 |
| Peter Stone | 130 | 1229 | 79713 |
| Gerald R. Crabtree | 128 | 371 | 60973 |
| Douglas A. Lauffenburger | 122 | 705 | 55326 |
| Abass Alavi | 113 | 1298 | 56672 |
| Mark E. Davis | 113 | 568 | 55334 |
| Keith Beven | 110 | 514 | 61705 |
| Naomi Breslau | 107 | 254 | 42029 |
| Fei Wang | 107 | 1824 | 53587 |
| Jun Yang | 107 | 2090 | 55257 |