Hyundai motor company (20240177014). METHOD AND APPARATUS FOR PREDICTING A VEHICLE COLLISION WITH A SURROUNDING OBJECT simplified abstract

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METHOD AND APPARATUS FOR PREDICTING A VEHICLE COLLISION WITH A SURROUNDING OBJECT

Organization Name

hyundai motor company

Inventor(s)

Jang-Ho Shin of Yongin-si (KR)

Bong-Sob Song of Suwon-si (KR)

Sung-Woo Lee of Suwon-si (KR)

METHOD AND APPARATUS FOR PREDICTING A VEHICLE COLLISION WITH A SURROUNDING OBJECT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240177014 titled 'METHOD AND APPARATUS FOR PREDICTING A VEHICLE COLLISION WITH A SURROUNDING OBJECT

Simplified Explanation

The patent application describes an apparatus for predicting collisions between a vehicle and surrounding objects by integrating various types of information and using advanced algorithms.

  • Surrounding object information detection unit: Obtains current state information on objects around the vehicle.
  • Lane detection unit: Obtains information on the lane in which the vehicle is traveling.
  • Risk level determination unit: Calculates collision risk levels between the object and the vehicle using state information on the object.
  • Surrounding environment prediction unit: Predicts future state information on the object using estimation or deep learning algorithms.
  • Information integration unit: Integrates current state information, lane information, collision risk level, and future state information to generate a simplified bird's eye view.
  • Collision mode determination unit: Predicts collision modes using the simplified bird's eye view.

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      1. Potential Applications

- Autonomous driving systems - Collision avoidance systems - Advanced driver assistance systems (ADAS)

      1. Problems Solved

- Minimizing the risk of collisions with surrounding objects - Enhancing vehicle safety and driver awareness

      1. Benefits

- Improved road safety - Enhanced driving experience - Reduced accidents and injuries

      1. Potential Commercial Applications
        1. Optimizing Collision Avoidance Technology for Vehicles
      1. Possible Prior Art

- Existing collision warning systems in vehicles - Lane departure warning systems

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        1. Unanswered Questions
      1. How does this technology handle complex traffic scenarios?

The abstract does not specify how the apparatus deals with intricate traffic situations where multiple objects are present, such as intersections or congested roads.

      1. What is the accuracy rate of collision predictions made by this apparatus?

The abstract does not mention the accuracy level of collision predictions generated by the apparatus, which is crucial for evaluating its effectiveness in real-world scenarios.


Original Abstract Submitted

an apparatus for predicting a collision of a vehicle with a surrounding object around the vehicle includes: a surrounding object information detection unit configured to obtain current state information on the object; a lane detection unit configured to obtain information on a lane on which the vehicle travels; a risk level determination unit configured to calculate a collision risk level between the object and the vehicle using state information on the object; a surrounding environment prediction unit configured to predict future state information on the object using an estimation algorithm or a deep learning algorithm; an information integration unit configured to integrate the current state information, the lane information, the collision risk level, and the future state information to generate a simplified bird's eye view; and a collision mode determination unit configured to predict collision modes by using the simplified bird's eye view.