View source for 20230052339. LOCATION INTELLIGENCE FOR BUILDING EMPATHETIC DRIVING BEHAVIOR TO ENABLE L5 CARS simplified abstract (HERE Global B.V.)

=LOCATION INTELLIGENCE FOR BUILDING EMPATHETIC DRIVING BEHAVIOR TO ENABLE L5 CARS=


==Organization Name==

[[:Category:HERE Global B.V.|HERE Global B.V.]]


[[Category:HERE Global B.V.]]

==Inventor(s)==

[[:Category:Deekshant Saxena of Mumbai (IN)|Deekshant Saxena of Mumbai (IN)]][[Category:Deekshant Saxena of Mumbai (IN)]]

[[:Category:Senjuti Sen of Manpada (IN)|Senjuti Sen of Manpada (IN)]][[Category:Senjuti Sen of Manpada (IN)]]

==LOCATION INTELLIGENCE FOR BUILDING EMPATHETIC DRIVING BEHAVIOR TO ENABLE L5 CARS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20230052339 titled 'LOCATION INTELLIGENCE FOR BUILDING EMPATHETIC DRIVING BEHAVIOR TO ENABLE L5 CARS

==Simplified Explanation==

The patent application describes a system and methods for enabling vehicles to make ethical and empathetic driving decisions using deep learning and location intelligence. Here is a simplified explanation of the abstract:

* The system uses deep learning and location intelligence to help vehicles make ethical and empathetic driving decisions.
* It identifies complex driving scenarios where an ethical decision is required, referred to as "moral islands".
* A generative adversarial network (GAN) is used to create synthetic training data that captures a variety of ethically complex driving situations.
* The system trains a deep learning model called "ethnet" to output driving decisions for ethically complex situations in the real world.

Potential applications of this technology:

* Autonomous vehicles: This technology can be used to enhance the decision-making capabilities of autonomous vehicles, enabling them to navigate ethically complex scenarios.
* Ride-sharing services: By incorporating ethical decision-making capabilities, ride-sharing services can prioritize passenger safety and well-being.
* Delivery services: Delivery vehicles can make ethical decisions when faced with challenging situations, such as avoiding accidents or minimizing harm to pedestrians.

Problems solved by this technology:

* Ethical decision-making: The technology addresses the challenge of making ethical decisions in complex driving scenarios, where there may be multiple conflicting factors to consider.
* Safety and well-being: By incorporating empathy and ethical considerations into driving decisions, the technology aims to prioritize the safety and well-being of all road users.

Benefits of this technology:

* Enhanced safety: By making ethical decisions, vehicles can potentially reduce the risk of accidents and prioritize the safety of pedestrians, passengers, and other drivers.
* Improved public perception: The technology can contribute to a positive public perception of autonomous vehicles by demonstrating their ability to make ethical decisions.
* Ethical considerations: Incorporating ethical decision-making capabilities into vehicles can help promote responsible and empathetic driving behavior.


==Original Abstract Submitted==

system and methods enable vehicles to make ethical/empathetic driving decisions by using deep learning aided location intelligence. the systems and methods identify moral islands/complex driving scenarios where a complex ethical decision is required. a generative adversarial network (gan) is used to generate synthetic training data to capture varied ethically complex driving situations. embodiments train a deep learning model (ethnet) that is configured to output one or more driving decisions to be taken when a vehicle comes across an ethically complex driving situations in the real world.



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