18039625. LINE POSITION ESTIMATION DEVICE, METHOD, AND PROGRAM simplified abstract (NEC Corporation)

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LINE POSITION ESTIMATION DEVICE, METHOD, AND PROGRAM

Organization Name

NEC Corporation

Inventor(s)

Wenjing Cui of Tokyo (JP)

Yoshihiro Mishima of Tokyo (JP)

LINE POSITION ESTIMATION DEVICE, METHOD, AND PROGRAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18039625 titled 'LINE POSITION ESTIMATION DEVICE, METHOD, AND PROGRAM

Simplified Explanation

The area recognition image generation means generates an area recognition image including a road area from an area recognition image which is a captured image of the front of a vehicle. The overhead view image generation means generates a first overhead view image obtained by converting the generated area recognition image into an overhead view image. The line position estimation means estimates a position of line marked on a road surface from the road area identified by the generated first overhead view image, based on a principle of lane boundaries.

  • Area recognition image generation: Generates an image including a road area from a captured image of the front of a vehicle.
  • Overhead view image generation: Converts the generated image into an overhead view image.
  • Line position estimation: Estimates the position of lines marked on a road surface based on lane boundaries.

Potential Applications

This technology could be applied in:

  • Autonomous driving systems
  • Traffic management systems
  • Road maintenance and construction planning

Problems Solved

This technology helps in:

  • Improving road safety by accurately identifying lane boundaries
  • Enhancing navigation systems with precise road information

Benefits

The benefits of this technology include:

  • Increased accuracy in lane detection
  • Enhanced road infrastructure planning
  • Improved efficiency in traffic flow management

Potential Commercial Applications

The potential commercial applications of this technology could be in:

  • Automotive industry for autonomous vehicles
  • Transportation and logistics companies for fleet management
  • Smart city initiatives for traffic optimization

Possible Prior Art

One possible prior art for this technology could be the use of computer vision algorithms for lane detection in autonomous vehicles.

What are the limitations of this technology in real-world scenarios?

The limitations of this technology in real-world scenarios include:

  • Weather conditions affecting image quality
  • Variability in road markings and conditions

How does this technology compare to existing lane detection systems?

This technology offers improved accuracy and efficiency compared to existing lane detection systems by utilizing overhead view images for precise line position estimation.


Original Abstract Submitted

The area recognition image generation means generates an area recognition image including a road area from an area recognition image which is a captured image of the front of a vehicle. The overhead view image generation means generates a first overhead view image obtained by converting the generated area recognition image into an overhead view image. The line position estimation means estimates a position of line marked on a road surface from the road area identified by the generated first overhead view image, based on a principle of lane boundaries.