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

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LOCATION INTELLIGENCE FOR BUILDING EMPATHETIC DRIVING BEHAVIOR TO ENABLE L5 CARS

Organization Name

HERE Global B.V.

Inventor(s)

Deekshant Saxena of Mumbai (IN)

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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