18305802. METHOD AND DEVICE WITH ROAD SURFACE RECOGNITION simplified abstract (Samsung Electronics Co., Ltd.)

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METHOD AND DEVICE WITH ROAD SURFACE RECOGNITION

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Ho-Ik Choi of Suwon-si (KR)

Jahoo Koo of Suwon-si (KR)

Youngwan Seo of Suwon-si (KR)

METHOD AND DEVICE WITH ROAD SURFACE RECOGNITION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18305802 titled 'METHOD AND DEVICE WITH ROAD SURFACE RECOGNITION

Simplified Explanation

The patent application describes a method for recognizing a road surface based on signal intensities obtained from a vision sensor on a moving object. The method involves generating local intensity maps, normalizing the original intensity map, and recognizing the road surface based on the normalized intensity map.

  • Obtaining an original intensity map with signal intensities from a vision sensor on a moving object.
  • Generating local intensity maps by determining local values for original elements.
  • Normalizing the original intensity map based on the local intensity map.
  • Recognizing the road surface based on the normalized intensity map.

Potential Applications

This technology could be applied in autonomous vehicles for road surface recognition and navigation systems.

Problems Solved

This technology solves the problem of accurately identifying and recognizing road surfaces in real-time using vision sensor data.

Benefits

The benefits of this technology include improved road surface recognition accuracy, which can enhance the safety and efficiency of autonomous vehicles and navigation systems.

Potential Commercial Applications

  • "Road Surface Recognition Technology for Autonomous Vehicles and Navigation Systems"

Possible Prior Art

There may be prior art related to image processing techniques for road surface recognition using vision sensors.

Unanswered Questions

How does this technology handle varying weather conditions that may affect the signal intensities captured by the vision sensor?

The method described in the patent application does not specify how it adapts to changing weather conditions that could impact the accuracy of road surface recognition.

What is the computational complexity of the method and how does it affect real-time performance in practical applications?

The patent application does not provide information on the computational complexity of the method or its real-time performance implications, which could be crucial for practical implementation in autonomous vehicles.


Original Abstract Submitted

A method performed by one or more processors includes: obtaining an original intensity map including original elements having respective signal intensities with respect to a road surface, the signal intensities based on sensing of a vision sensor arranged on a moving object that is moving on a road including the road surface, wherein each of the original elements has a respective local neighborhood of neighboring original elements; generating a local intensity map by determining local values respectively corresponding to the original elements of the original intensity map, wherein the local values are determined based on the original elements in the respectively corresponding local neighborhoods; generating a normalized intensity map by normalizing the original intensity map based on the local intensity map; and recognizing the road surface based on the normalized intensity map.