17823759. BRAIN-COMPUTER INTERFACE ENABLED COMMUNICATION BETWEEN AUTONOMOUS VEHICLES AND PEDESTRIANS simplified abstract (International Business Machines Corporation)
Contents
BRAIN-COMPUTER INTERFACE ENABLED COMMUNICATION BETWEEN AUTONOMOUS VEHICLES AND PEDESTRIANS
Organization Name
International Business Machines Corporation
Inventor(s)
Saraswathi Sailaja Perumalla of Visakhapatnam (IN)
Sarbajit K. Rakshit of Kolkata (IN)
Mahesh Malatesh Chitragar of Bangalore (IN)
BRAIN-COMPUTER INTERFACE ENABLED COMMUNICATION BETWEEN AUTONOMOUS VEHICLES AND PEDESTRIANS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17823759 titled 'BRAIN-COMPUTER INTERFACE ENABLED COMMUNICATION BETWEEN AUTONOMOUS VEHICLES AND PEDESTRIANS
Simplified Explanation
The patent application describes a system for improving autonomous vehicle operation by enabling communication between the vehicles and Brain-Computer Interface (BCI) systems worn by pedestrians.
- BCI devices worn by pedestrians analyze brainwave signals to filter out signals unrelated to crossing the street or directionality of travel.
- BCI devices publish relevant brainwave signals to the surrounding area where autonomous vehicles receive and process the signals.
- Autonomous vehicles predict movements of nearby pedestrians based on the collected brainwave signals and select driving actions accordingly.
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- Potential Applications
- Autonomous vehicles industry
- Pedestrian safety systems
- Traffic management systems
- Problems Solved
- Improving pedestrian safety around autonomous vehicles
- Enhancing communication between pedestrians and autonomous vehicles
- Predicting pedestrian movements accurately
- Benefits
- Increased safety for pedestrians and drivers
- Enhanced efficiency in traffic flow
- Improved coordination between autonomous vehicles and pedestrians
Original Abstract Submitted
Systems, methods and/or computer program products for improving autonomous vehicle operation by enabling communication between the autonomous vehicles and BCI systems publishing signals from nearby pedestrians. Wearable BCI devices worn by pedestrians analyze brainwave signals and classify the brainwave signals in order to filter out signals that are unrelated to crossing the street or the directionality of travel by the pedestrian. BCI devices publish, or broadcast brain wave signals related to crossing the street or directionality of travel to the surrounding area where autonomous vehicle receive and process the brainwave signals being published. The autonomous vehicles predict movements of nearby pedestrians based on the intended direction of travel signified by the collected brainwave signals, and the autonomous vehicles select driving actions in response to the anticipated movements of nearby pedestrians.
