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Related Concept Videos

Control Systems01:10

Control Systems

1.8K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
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Control Systems: Applications01:25

Control Systems: Applications

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Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
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Feedback control systems01:26

Feedback control systems

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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
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Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

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A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
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Open and closed-loop control systems01:17

Open and closed-loop control systems

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Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
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Transfer Function in Control Systems01:21

Transfer Function in Control Systems

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The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
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Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS
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On the Image Sensor Processing for Lane Detection and Control in Vehicle Lane Keeping Systems.

C Y Kuo1, Y R Lu2, S M Yang3

  • 1International Program on Energy Engineering, National Cheng Kung University, Tainan 70101, Taiwan. river85511@gmail.com.

Sensors (Basel, Switzerland)
|April 11, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a cost-effective lane detection and control system for autonomous vehicles. The developed image sensor and algorithm achieve high accuracy in real-time, enabling safer autonomous delivery systems.

Keywords:
image sensorlane controllane detection

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Area of Science:

  • Robotics and Autonomous Systems
  • Computer Vision
  • Control Engineering

Background:

  • Lane keeping is crucial for advanced driving assistance systems and autonomous vehicles.
  • Existing systems often face challenges in processing efficiency and cost-effectiveness.

Purpose of the Study:

  • To present a cost-effective image sensor and efficient processing algorithm for lane detection and control.
  • To enable reliable lane keeping for autonomous delivery systems.

Main Methods:

  • Lane detection using inverse perspective mapping and RANSAC parabola fitting.
  • Lane control employing a pure pursuit steering controller and a classical PI speed controller based on a nonholonomic kinematic model.

Main Results:

  • Experimental validation on a 1/10 scale model car demonstrated superior processing performance in straight and curved sections.
  • Achieved average lane detection error within 5% and maximum cross-track error within 9% in real-time.

Conclusions:

  • The developed system offers a viable solution for real-time lane detection and control in autonomous vehicles.
  • This advancement paves the way for more cost-effective autonomous delivery systems.