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Related Concept Videos

Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

140
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
140
Transformers in Distribution System01:27

Transformers in Distribution System

98
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
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The Ideal Transformer01:26

The Ideal Transformer

356
In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
Ampere's Law forms the basis of understanding the magnetic field within the transformer. It states that the integral of the magnetic field intensity's...
356
Types Of Transformers01:16

Types Of Transformers

949
Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
949
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

448
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
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Instrument Transformers01:23

Instrument Transformers

74
Instrument transformers, comprising voltage transformers (VTs) and current transformers (CTs), play crucial roles in power substations by providing isolated replicas of current or voltage for measurement and protection purposes. Voltage transformers reduce the primary voltage to levels suitable for relay operation and measurement, while current transformers scale down the primary current. The primary winding of a current transformer often consists of a single turn, achieved by threading the...
74

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Related Experiment Video

Updated: Jun 8, 2025

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM
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RLCFormer: Automatic roadside LiDAR-Camera calibration framework with transformer.

Rui Tian1, Xuefeng Bao1, Yunli Chen1

  • 1Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China.

Heliyon
|November 7, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed RLCFormer, a Transformer-based network for precise roadside LiDAR-Camera calibration. This method significantly improves accuracy in autonomous driving and traffic monitoring systems.

Keywords:
Calibration and identificationComputer vision for transportationLiDAR-camera systemsRoadside traffic monitoringSensor fusion

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Area of Science:

  • Computer Vision
  • Robotics
  • Sensor Fusion

Background:

  • LiDAR-Camera fusion is crucial for autonomous driving and traffic monitoring.
  • Existing calibration methods are insufficient for dispersed roadside sensor setups.

Purpose of the Study:

  • To introduce RLCFormer, a novel Transformer-based network for accurate roadside sensor calibration.
  • To enhance scene representation and calibration precision in complex traffic environments.

Main Methods:

  • Developed RLCFormer, a Transformer-based network for roadside LiDAR-Camera calibration.
  • Integrated depth and RGB features using correlation layers and a Transformer decoder.
  • Evaluated performance on the DAIR-V2X-I Roadside 3D detection dataset.

Main Results:

  • Achieved an average translation error of 3.3187 cm.
  • Achieved an average rotation error of 0.0469°.
  • Outperformed existing methods in calibration precision.

Conclusions:

  • RLCFormer offers a robust solution for roadside sensor calibration.
  • The method significantly advances sensor fusion technology for intelligent transportation systems.