17958624. PERFORMING PROACTIVE DRIVING TRAINING USING AN AUTONOMOUS VEHICLE simplified abstract (International Business Machines Corporation)
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 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 17958624 titled 'PERFORMING PROACTIVE DRIVING TRAINING USING AN AUTONOMOUS VEHICLE
Simplified Explanation
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.
- Autonomous vehicle technology
- Predictive driving training
- Mixed reality simulation
- Driver experience analysis
- In-vehicle training monitoring
Potential Applications
This technology could be applied in:
- Driver training programs
- Autonomous vehicle development
- Fleet management systems
Problems Solved
This technology helps address:
- Improving driver skills
- Enhancing road safety
- Bridging experience gaps
Benefits
The benefits of this technology include:
- Increased driver confidence
- Enhanced driving performance
- Safer road conditions
Potential Commercial Applications
A potential commercial application of this technology could be in:
- Automotive industry for driver training
- Transportation companies for fleet optimization
Possible Prior Art
One possible prior art could be:
- Driving simulators for training purposes
Unanswered Questions
How does the technology adapt to different driving styles?
The technology could potentially incorporate machine learning algorithms to adapt to individual driving styles and provide personalized training.
What data privacy measures are in place for monitoring driver responses?
Data privacy measures could include anonymizing driver data, obtaining consent for monitoring, and securely storing the data collected during training sessions.
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.
