State Farm Mutual Automobile Insurance Company (20240256260). AUTONOMOUS VEHICLE CONTROL ASSESSMENT AND SELECTION simplified abstract

AUTONOMOUS VEHICLE CONTROL ASSESSMENT AND SELECTION

Organization Name

State Farm Mutual Automobile Insurance Company

Inventor(s)

Brian Mark Fields of Normal IL (US)

Chien Che Huang of Narmal IL (US)

Mohamed A. Wazeer of Normal IL (US)

Shawn C. Bennett of Le Roy IL (US)

Steven C. Cielocha of Bloomington IL (US)

Ronny S. Bryant of Bloomington IL (US)

Stephen Kohaus of Bloomington IL (US)

Terry Quakenbush of Normal IL (US)

Richard A. Novak of Bloomington IL (US)

Aaron Scott Chan of Lisle IL (US)

Craig M. Main of Hagerstown MD (US)

Weixin Wu of Aurora IL (US)

Torri Wollenschlager of Bloomingten IL (US)

Carlo Marie Csanda of Normal IL (US)

Stacey Gorsuch of Bloomington IL (US)

Todd Binion of Bloomington IL (US)

AUTONOMOUS VEHICLE CONTROL ASSESSMENT AND SELECTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240256260 titled 'AUTONOMOUS VEHICLE CONTROL ASSESSMENT AND SELECTION

Simplified Explanation: The patent application describes a method for operating autonomous vehicles by identifying the vehicle operator, retrieving their profile, and determining the risk level of disabling autonomous features based on driver behavior settings.

Key Features and Innovation:

• Identification of vehicle operator and retrieval of operator profile.
• Reception of operating data from vehicle-mounted sensors.
• Determination of risk level for disabling autonomous features.
• Comparison of risk level with driver behavior settings in operator profile.
• Decision to retain control or disengage autonomous feature based on safety.

Potential Applications: This technology can be applied in the automotive industry for autonomous vehicle operation, enhancing safety and providing insurance discounts for vehicles with this safety functionality.

Problems Solved: The technology addresses the issue of unsafe disengagement of self-driving functionality in autonomous vehicles, ensuring safer operation and reducing risks for both the vehicle and the human occupant.

Benefits:

• Enhanced safety in autonomous vehicle operation.
• Reduction of risks associated with disabling autonomous features.
• Provision of insurance discounts for vehicles with safety functionality.

Commercial Applications: This technology has significant commercial potential in the automotive industry, particularly in the development and deployment of autonomous vehicles with advanced safety features.

Questions about Autonomous Vehicle Safety: 1. How does the technology determine the risk level for disabling autonomous features? 2. What are the potential implications of providing insurance discounts for vehicles with this safety functionality?

Original Abstract Submitted

according to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. with the customer's permission, an identity of a vehicle operator may be identified and a vehicle operator profile may be retrieved. operating data regarding autonomous operation features operating the vehicle may be received from vehicle-mounted sensors. when a request to disable an autonomous feature is received, a risk level for the autonomous feature is determined and compared with a driver behavior setting for the autonomous feature stored in the vehicle operator profile. based upon the risk level comparison, the autonomous vehicle retains control of vehicle or the autonomous feature is disengaged depending upon which is the safer driver—the autonomous vehicle or the vehicle human occupant. as a result, unsafe disengagement of self-driving functionality for autonomous vehicles may be alleviated. insurance discounts may be provided for autonomous vehicles having this safety functionality.