Nvidia corporation (20240257539). OCCUPANT ATTENTIVENESS AND COGNITIVE LOAD MONITORING FOR AUTONOMOUS AND SEMI-AUTONOMOUS DRIVING APPLICATIONS simplified abstract
OCCUPANT ATTENTIVENESS AND COGNITIVE LOAD MONITORING FOR AUTONOMOUS AND SEMI-AUTONOMOUS DRIVING APPLICATIONS
Organization Name
Inventor(s)
Nuri Murat Arar of Zurich (CH)
Niranjan Avadhanam of Saratoga CA (US)
Yuzhuo Ren of San Jose CA (US)
OCCUPANT ATTENTIVENESS AND COGNITIVE LOAD MONITORING FOR AUTONOMOUS AND SEMI-AUTONOMOUS DRIVING APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240257539 titled 'OCCUPANT ATTENTIVENESS AND COGNITIVE LOAD MONITORING FOR AUTONOMOUS AND SEMI-AUTONOMOUS DRIVING APPLICATIONS
Simplified Explanation: The patent application discusses a system that monitors the field of view and gaze of a user inside a vehicle and compares it to the perception of the environment outside the vehicle. This information is used to determine the attentiveness and cognitive load of the user, leading to potential actions such as notifications or automatic emergency braking activations.
Key Features and Innovation:
- Monitoring the field of view and gaze of a user inside a vehicle
- Comparing user perception to the external environment
- Determining user attentiveness and cognitive load
- Taking actions based on the user's state, such as notifications or AEB system activations
Potential Applications: This technology could be used in automotive safety systems to enhance driver monitoring and improve overall safety on the road.
Problems Solved: The system addresses the challenge of accurately assessing the state of a user inside a vehicle and determining appropriate actions based on their attentiveness and cognitive load.
Benefits:
- Improved safety for drivers and occupants
- Enhanced monitoring of user behavior
- Potential for reducing accidents and improving overall driving experience
Commercial Applications: Enhancing driver monitoring systems in vehicles for increased safety and potentially reducing accidents on the road.
Questions about Driver Monitoring Systems: 1. How does this technology improve overall safety on the road? 2. What are the potential challenges in implementing such a system in vehicles?
Frequently Updated Research: Stay updated on advancements in driver monitoring systems and their impact on automotive safety.
Original Abstract Submitted
in various examples, estimated field of view or gaze information of a user may be projected external to a vehicle and compared to vehicle perception information corresponding to an environment outside of the vehicle. as a result, interior monitoring of a driver or occupant of the vehicle may be used to determine whether the driver or occupant has processed or seen certain object types, environmental conditions, or other information exterior to the vehicle. for a more holistic understanding of the state of the user, attentiveness and/or cognitive load of the user may be monitored to determine whether one or more actions should be taken. as a result, notifications, aeb system activations, and/or other actions may be determined based on a more complete state of the user as determined based on cognitive load, attentiveness, and/or a comparison between external perception of the vehicle and estimated perception of the user.
