Samsung electronics co., ltd. (20240177497). METHOD AND DEVICE WITH ROAD SURFACE RECOGNITION simplified abstract

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 20240177497 titled 'METHOD AND DEVICE WITH ROAD SURFACE RECOGNITION

Simplified Explanation

The method described in the abstract involves processing intensity maps obtained from a vision sensor on a moving object to recognize the road surface. Here is a simplified explanation of the abstract:

• Obtaining an original intensity map from a vision sensor on a moving object.
• Generating a local intensity map based on local values of neighboring elements.
• Creating a normalized intensity map by normalizing the original intensity map.
• Recognizing the road surface based on the normalized intensity map.

---

1. 1. 1. Potential Applications of this Technology

1. Autonomous driving systems for identifying road surfaces. 2. Road maintenance and inspection for detecting surface anomalies.

1. 1. 1. Problems Solved by this Technology

1. Accurate road surface recognition for safe navigation. 2. Efficient road maintenance planning based on real-time data.

1. 1. 1. Benefits of this Technology

1. Improved road safety through enhanced surface detection. 2. Cost-effective road maintenance strategies.

1. 1. 1. Potential Commercial Applications of this Technology
         1. Road Surface Recognition Technology for Autonomous Vehicles

---

1. 1. 1. Possible Prior Art

One possible prior art for this technology could be the use of machine learning algorithms for road surface recognition in autonomous vehicles.

---

1. 1. 1. Unanswered Questions

1. 1. 1. 1. How does this technology handle varying weather conditions that may affect road surface visibility?

This article does not address how the system adapts to changing weather conditions that could impact the accuracy of road surface recognition.

1. 1. 1. 1. What is the computational efficiency of this method when processing real-time data from the vision sensor?

The article does not provide information on the computational speed and efficiency of the method when processing data from the vision sensor in real-time scenarios.

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.