MAP sensor - Definition. Was ist MAP sensor
Diclib.com
Wörterbuch ChatGPT
Geben Sie ein Wort oder eine Phrase in einer beliebigen Sprache ein 👆
Sprache:     

Übersetzung und Analyse von Wörtern durch künstliche Intelligenz ChatGPT

Auf dieser Seite erhalten Sie eine detaillierte Analyse eines Wortes oder einer Phrase mithilfe der besten heute verfügbaren Technologie der künstlichen Intelligenz:

  • wie das Wort verwendet wird
  • Häufigkeit der Nutzung
  • es wird häufiger in mündlicher oder schriftlicher Rede verwendet
  • Wortübersetzungsoptionen
  • Anwendungsbeispiele (mehrere Phrasen mit Übersetzung)
  • Etymologie

Was (wer) ist MAP sensor - definition


MAP sensor         
SENSOR IN AN INTERNAL COMBUSTION ENGINE'S ELECTRONIC CONTROL SYSTEM
Manifold Absolute Pressure; Manifold Absolute Pressure sensor; Manifold Absolute Pressure Sensor; Manifold absolute pressure sensor; Manifold absolute pressure; MAP-sensor; MAP Sensor; Map sensor
The manifold absolute pressure sensor (MAP sensor) is one of the sensors used in an internal combustion engine's electronic control system.
Image sensor         
  • archive-date=13 July 2016}}</ref>
  • A micrograph of the corner of the photosensor array of a [[webcam]] digital camera
  • Foveon's scheme of vertical filtering for color sensing
  • Nikon Coolpix L2 6 MP}}
DEVICE THAT CONVERTS AN OPTICAL IMAGE INTO AN ELECTRONIC SIGNAL
Electronic imager; Optical sensing; OVT; Image sensors; Camera sensor; Digital image sensor; Color image sensor; Imager; Imaging sensor; Camera sensors; Frame image sensor; Image Sensor
An image sensor or imager is a sensor that detects and conveys information used to make an image. It does so by converting the variable attenuation of light waves (as they pass through or reflect off objects) into signals, small bursts of current that convey the information.
Sensor fusion         
  • [[Eurofighter]] sensor fusion
COMBINING OF SENSOR DATA FROM DISPARATE SOURCES
Sensor data fusion; Sensor Fusion
Sensor fusion is the process of combining sensor data or data derived from disparate sources such that the resulting information has less uncertainty than would be possible when these sources were used individually. For instance, one could potentially obtain a more accurate location estimate of an indoor object by combining multiple data sources such as video cameras and WiFi localization signals.