18061612. SYSTEM AND METHOD FOR CORRECTING IN REAL-TIME AN ESTIMATED POSITION OF A ROAD OBJECT simplified abstract (GM Global Technology Operations LLC)

SYSTEM AND METHOD FOR CORRECTING IN REAL-TIME AN ESTIMATED POSITION OF A ROAD OBJECT

Organization Name

GM Global Technology Operations LLC

Inventor(s)

Vivek Vijaya Kumar of Shelby Township MI (US)

Bo Yu of Troy MI (US)

Donald K. Grimm of Utica MI (US)

Fan Bai of Ann Arbor MI (US)

Joon Hwang of Pflugerville TX (US)

Carl P. Darukhanavala of Royal Oak MI (US)

Carolyn Heather Macleod of Thornhill (CA)

Muhammad Rehan of Troy MI (US)

SYSTEM AND METHOD FOR CORRECTING IN REAL-TIME AN ESTIMATED POSITION OF A ROAD OBJECT - A simplified explanation of the abstract

This abstract first appeared for US patent application 18061612 titled 'SYSTEM AND METHOD FOR CORRECTING IN REAL-TIME AN ESTIMATED POSITION OF A ROAD OBJECT

Simplified Explanation:

This patent application describes a vehicle system that corrects the estimated position of a road object in real-time using data from a camera and vehicle sensors.

Key Features and Innovation:

• Utilizes image sensor data from a camera and vehicle sensor data to match and analyze in real-time.
• Determines an error model and deviation of the camera-based position from the predicted position.
• Updates the error model based on the deviation to improve accuracy.

Potential Applications:

This technology can be used in autonomous vehicles, advanced driver assistance systems (ADAS), and traffic management systems.

Problems Solved:

Addresses the challenge of accurately estimating the position of road objects in real-time, which is crucial for safe and efficient driving.

Benefits:

• Enhances the accuracy of estimating the position of road objects.
• Improves the overall performance of vehicle systems.
• Increases safety on the road by providing more precise data.

Commercial Applications:

"Real-Time Correction System for Camera-Based Estimated Position of Road Objects in Vehicles" can be utilized by automotive manufacturers, technology companies developing autonomous vehicles, and transportation authorities for traffic monitoring and management.

Prior Art:

No specific information on prior art related to this technology is provided in the abstract.

Frequently Updated Research:

There is ongoing research in the field of computer vision and sensor fusion for improving the accuracy of object detection and tracking in real-time.

Questions about Real-Time Correction System for Camera-Based Estimated Position of Road Objects in Vehicles:

Question 1: How does this technology contribute to the advancement of autonomous driving systems? - This technology enhances the accuracy of object detection and tracking, which is essential for the safe operation of autonomous vehicles.

Question 2: What are the potential challenges in implementing this system in different weather conditions? - Implementing this system in adverse weather conditions such as heavy rain or snow may pose challenges due to reduced visibility and sensor performance.

Original Abstract Submitted

A vehicle system is provided for correcting in real-time a camera-based estimated position of a road object. The system includes a camera for generating an image input signal including image sensor data associated with the road object. The system further includes one or more input devices for generating a vehicle input signal including vehicle sensor data associated with a position, a speed, and a heading of the vehicle. The system further includes a computer, which includes one or more processors and a non-transitory computer readable medium (CRM) storing instructions. The processor is programmed to match the image sensor data and the vehicle sensor data to one another based on a common time of collection. The processor is further programmed to determine an error model and a deviation of a current camera-based position from a predicted position. The processor is further programmed to update the error model based on the deviation.