Woven by Toyota, Inc. (20240239379). SYSTEMS AND METHODS FOR MODE CONFUSION AVOIDANCE simplified abstract
Contents
SYSTEMS AND METHODS FOR MODE CONFUSION AVOIDANCE
Organization Name
Inventor(s)
Manuel Ludwig Kuehner of Mountain View CA (US)
Hiroshi Yasuda of San Francisco CA (US)
SYSTEMS AND METHODS FOR MODE CONFUSION AVOIDANCE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240239379 titled 'SYSTEMS AND METHODS FOR MODE CONFUSION AVOIDANCE
The abstract of this patent application discusses mode confusion avoidance in autonomous driving systems. It describes a method that involves selecting a routine path, determining the likelihood of expected autonomous driving assistance based on the location within the routine path, and generating a notification if autonomous driving assistance has not been enabled and the likelihood exceeds a threshold.
- Selecting a routine path
- Determining the likelihood of expected autonomous driving assistance
- Generating a notification if assistance has not been enabled and the likelihood exceeds a threshold
Potential Applications: - Autonomous vehicles - Driver assistance systems - Navigation systems
Problems Solved: - Avoiding mode confusion in autonomous driving systems - Enhancing safety and efficiency in driving
Benefits: - Improved driver assistance - Increased safety on the road - Enhanced user experience
Commercial Applications: Title: "Enhanced Autonomous Driving Assistance Technology" This technology could be utilized by automotive companies, technology firms, and transportation companies to develop advanced autonomous driving systems that prioritize safety and efficiency.
Questions about Mode Confusion Avoidance: 1. How does this technology improve the overall driving experience? - This technology enhances the driving experience by providing timely notifications and assistance to avoid mode confusion and ensure safe and efficient driving. 2. What are the potential implications of this technology for the future of autonomous vehicles? - This technology could significantly impact the development and adoption of autonomous vehicles by enhancing their safety and reliability.
Original Abstract Submitted
system, methods, and other embodiments described herein relate to mode confusion avoidance. in one embodiment, a method includes selecting a routine path; determining a likelihood of expected autonomous driving assistance based on a location within the routine path; and generating a notification if autonomous driving assistance has not been enabled and the likelihood exceeds a threshold.
