Gm global technology operations llc (20240312221). ROAD SIGN INTERPRETATION SYSTEM EMPLOYING PERCEPTUAL HASHING AND GEOLOCATIONAL CACHING simplified abstract

ROAD SIGN INTERPRETATION SYSTEM EMPLOYING PERCEPTUAL HASHING AND GEOLOCATIONAL CACHING

Organization Name

gm global technology operations llc

Inventor(s)

Brent Navin Roger Bacchus of Sterling Heights MI (US)

Alireza Esna Ashari Esfahani of Novi MI (US)

ROAD SIGN INTERPRETATION SYSTEM EMPLOYING PERCEPTUAL HASHING AND GEOLOCATIONAL CACHING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240312221 titled 'ROAD SIGN INTERPRETATION SYSTEM EMPLOYING PERCEPTUAL HASHING AND GEOLOCATIONAL CACHING

The abstract describes a road sign interpretation system that uses perceptual hash values to identify road signs in images. The system computes a perceptual hash of a detected road sign and matches it with a stored hash value to interpret the sign.

• Perceptual cache stores hash values corresponding to road sign images
• Road signs are associated with identifiers in the system
• Controllers compute perceptual hash of detected road signs and match with stored values
• System interprets detected road signs based on matched hash values

Potential Applications: - Automated road sign recognition systems - Traffic management and safety applications - Navigation systems for identifying road signs

Problems Solved: - Efficient and accurate road sign interpretation - Automation of sign recognition tasks - Improved road safety through better sign understanding

Benefits: - Enhanced road sign recognition accuracy - Faster interpretation of road signs - Improved navigation assistance for drivers

Commercial Applications: Title: Automated Road Sign Recognition System This technology can be used in autonomous vehicles, smart city infrastructure, and transportation management systems to improve road sign interpretation and enhance overall safety and efficiency.

Questions about the technology: 1. How does the system ensure accurate matching of detected road signs with stored hash values? 2. What are the potential limitations of using perceptual hash values for road sign interpretation?

Original Abstract Submitted

a road sign interpretation system includes a perceptual cache storing perceptual hash values that each correspond to image data representing a road sign. each road sign that corresponds to one of the perceptual hash values stored in the perceptual cache is associated with a road sign identifier. the road sign interpretation system includes one or more controllers in electronic communication with the perceptual cache execute instructions to compute a perceptual hash of a detected road sign within a cropped image frame based on a perceptual hash function and identify a near match between the perceptual hash of the detected road sign and a selected perceptual hash value stored in the perceptual cache. in response to identifying the near match, the controllers interpret the detected road sign represented by the perceptual hash based on the road sign identifier associated with the selected perceptual hash value stored in the perceptual cache.