International business machines corporation (20240112077). PERFORMING PROACTIVE DRIVING TRAINING USING AN AUTONOMOUS VEHICLE simplified abstract
Contents
- 1 PERFORMING PROACTIVE DRIVING TRAINING USING AN AUTONOMOUS VEHICLE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PERFORMING PROACTIVE DRIVING TRAINING USING AN AUTONOMOUS VEHICLE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
PERFORMING PROACTIVE DRIVING TRAINING USING AN AUTONOMOUS VEHICLE
Organization Name
international business machines corporation
Inventor(s)
Tushar Agrawal of West Fargo ND (US)
Martin G. Keen of Cary NC (US)
Jeremy R. Fox of Georgetown TX (US)
Sarbajit K. Rakshit of Kolkata (IN)
PERFORMING PROACTIVE DRIVING TRAINING USING AN AUTONOMOUS VEHICLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240112077 titled 'PERFORMING PROACTIVE DRIVING TRAINING USING AN AUTONOMOUS VEHICLE
Simplified Explanation
The present invention involves providing in-vehicle predicted context-based proactive driving training using an autonomous vehicle, by establishing a knowledge corpus from a driver's previous driving experience, identifying potential driving contexts for forthcoming routes, performing experience gap analysis, and providing in-vehicle mixed reality driving training simulations if needed.
- Knowledge corpus established from driver's previous driving experience
- Potential driving context identified for forthcoming driving route
- Experience gap analysis performed between driver's experience and potential driving context
- In-vehicle mixed reality driving training simulation provided if experience gap exists
- Driver's responses to training simulation optionally monitored
- Determination made based on driver responses regarding suitability to address potential driving context
Potential Applications
The technology could be applied in autonomous vehicles, driving schools, and driver training programs.
Problems Solved
This technology helps bridge the gap between a driver's experience and potential driving scenarios, improving overall driving skills and safety.
Benefits
The approach enhances driver training, increases road safety, and provides personalized driving instruction based on individual experience gaps.
Potential Commercial Applications
Potential commercial applications include autonomous vehicle companies, driving schools, and automotive technology providers.
Possible Prior Art
One possible prior art could be driving simulators used in driver training programs to simulate various driving scenarios and improve driving skills.
Unanswered Questions
1. How does the technology ensure the accuracy of the experience gap analysis? 2. What specific metrics are used to determine the suitability of the driver to address potential driving contexts?
Original Abstract Submitted
embodiments of the present invention provide an approach for providing in-vehicle predicted context-based proactive driving training using an autonomous vehicle. a knowledge corpus is established from a driver's previous driving experience. a potential driving context (or scenario) is identified for a forthcoming driving route. an experience gap analysis is performed between the driver's experience and the potential driving context. if an experience gap exists, an in-vehicle mixed reality driving training simulation is provided in a selected location by the autonomous vehicle. the driver's responses to the training simulation can optionally be monitored and a determination can made based on the driver responses as to the suitability of the driver to safely address the potential driving context.
