Navigation Accuracy
Navigation Accuracy - Related Videos
07:03
Dynamic Navigation in Endodontics: Guided Access Cavity Preparation by Means of a Miniaturized Navigation System
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Cited by 8 •
2022
Dynamic navigation systems (DNS) provide real-time visualization and guidance to the operator during endodontic access cavities preparation. The planning of the procedure requires three-dimensional imaging utilizing cone beam computed tomography and surface scans. After the export of the planning data to the DNS, access cavities can be prepared with minimal invasion.
05:42
Dynamic Navigation for Dental Implant Placement
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Cited by 9 •
2022
Dynamic computer-aided implant surgery (DCAIS) is a controlled implant surgical placement method performed without a surgical template using optical control. The real-time intraoperative control of movement and position of the surgical device simplifies the procedure and gives more freedom to the surgeon, providing similar precision as static navigation methods.
02:07
Improving Translational Accuracy
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2020
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
05:19
Practical Methodology of Cognitive Tasks Within a Navigational Assessment
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Cited by 1 •
2015
Children who have complex communication needs can benefit from the use of a speech-generating device (SGD). Cognitive skills were identified as having an impact on the ability to navigate between levels of SGDs. This protocol describes the steps needed for Speech-language Pathologists to assess cognitive skills and navigational abilities.
03:37
Uncertainty in Measurement: Accuracy and Precision
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2020
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. Suppose a quality control...
FAQs
Combining satellite signals, inertial measurements, maps, and environmental observations allows engineers to balance the weaknesses of individual inputs. For example, signal loss can affect satellite-based information, while drift can accumulate in inertial measurements. Data processing integrates these inputs to produce a more dependable estimate of position, direction, and movement across changing operating conditions.
Signal loss, measurement noise, sensor drift, and calibration errors can each reduce navigation performance. Their effects may change with location, time, and operating conditions, so engineers do not treat accuracy as a fixed property. Examining how errors develop helps identify whether the main limitation arises from sensing, data processing, environmental conditions, or system setup.
Calibration errors introduce systematic inaccuracies before navigation data are interpreted, whereas drift can cause estimates to depart progressively from the system’s actual motion. Considering both is essential because a system may appear reliable during a short interval yet accumulate substantial error over time. Engineers therefore evaluate navigation behavior across time rather than relying on a single reading.
Engineers first collect navigation estimates while the system operates under defined conditions, then compare those estimates with measurements from a trusted reference. They evaluate the resulting differences for position, direction, and movement, examining how errors change over time. Repeating this analysis under conditions such as signal loss or environmental variation reveals limitations that a single test may miss.
Testing should represent the conditions in which the navigation system must operate. Engineers can vary signal availability, environmental observations, movement, and test duration to expose noise, drift, signal loss, or calibration effects. Comparing results across these conditions shows whether performance remains dependable or changes substantially when the available measurements or operating environment are altered.
Navigation accuracy is particularly consequential for autonomous vehicles, aircraft, mobile robots, maritime systems, and precision equipment. In these applications, navigation estimates influence movement, control, and operational decisions. Evaluating accuracy against a trusted reference helps engineers judge whether the system can support safety, efficiency, reliable operation, and successful completion of its intended mission.