18625433. Self-Learning-Based Interpretation of Driver’s Intent for Evasive Steering simplified abstract (Aptiv Technologies AG)
Contents
Self-Learning-Based Interpretation of Driver’s Intent for Evasive Steering
Organization Name
Inventor(s)
Guoguang Zhang of Westfield IN (US)
Walter K. Kosiak of Kokomo IN (US)
Self-Learning-Based Interpretation of Driver’s Intent for Evasive Steering - A simplified explanation of the abstract
This abstract first appeared for US patent application 18625433 titled 'Self-Learning-Based Interpretation of Driver’s Intent for Evasive Steering
Simplified Explanation: Evasive steering assist (ESA) systems for vehicles help drivers avoid collisions by providing steering assistance when an object is detected in the vehicle's path.
Key Features and Innovation:
- Utilizes vehicle perception systems to detect objects in the vehicle's path.
- Receives steering input from the driver via a driver interface.
- Measures steering parameters using steering sensors.
- Determines driver-specific threshold values for steering parameters.
- Compares measured steering parameters with threshold values to decide whether to engage ESA.
- Commands the steering system to assist the driver in avoiding collisions with detected objects.
Potential Applications: This technology can be applied in various vehicles, including cars, trucks, and autonomous vehicles, to enhance safety on the road.
Problems Solved: This technology addresses the issue of potential collisions by providing real-time steering assistance to drivers when objects are detected in their path.
Benefits:
- Improved safety on the road.
- Enhanced collision avoidance capabilities.
- Increased driver confidence and peace of mind.
Commercial Applications: The commercial applications of this technology include integrating ESA systems into new vehicle models to attract safety-conscious consumers and potentially reduce accidents and insurance claims.
Questions about Evasive Steering Assist (ESA) Systems: 1. How does the ESA system determine when to engage steering assistance? 2. What are the potential limitations of ESA systems in certain driving conditions?
Frequently Updated Research: Researchers are continually exploring ways to enhance ESA systems by improving object detection algorithms and refining steering assistance mechanisms for optimal performance.
Original Abstract Submitted
Evasive steering assist (ESA) systems and methods for a vehicle utilize a set of vehicle perception systems configured to detect an object in a path of the vehicle, a driver interface configured to receive steering input from a driver of the vehicle via a steering system of the vehicle, a set of steering sensors configured to measure a set of steering parameters, and a controller configured to determine a set of driver-specific threshold values for the set of steering parameters, compare the measured set of steering parameters and the set of driver-specific threshold values to determine whether to engage/enable an ESA feature of the vehicle, and in response to engaging/enabling the ESA feature of the vehicle, command the steering system to assist the driver in avoiding a collision with the detected object.
