Samsung electronics co., ltd. (20240092345). DEVICE AND METHOD WITH CONTINUOUS REAL-TIME AUTONOMOUS PARKING PLANNING AND CONTROL simplified abstract

From WikiPatents
Jump to navigation Jump to search

DEVICE AND METHOD WITH CONTINUOUS REAL-TIME AUTONOMOUS PARKING PLANNING AND CONTROL

Organization Name

samsung electronics co., ltd.

Inventor(s)

Seho Shin of Suwon-si (KR)

Jaeheung Park of Seoul (KR)

Minsoo Kim of Seoul (KR)

Joonwoo Ahn of Seoul (KR)

DEVICE AND METHOD WITH CONTINUOUS REAL-TIME AUTONOMOUS PARKING PLANNING AND CONTROL - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240092345 titled 'DEVICE AND METHOD WITH CONTINUOUS REAL-TIME AUTONOMOUS PARKING PLANNING AND CONTROL

Simplified Explanation

The patent application describes a device and method for continuous real-time autonomous parking planning and control.

  • The method involves training a path distribution estimation model using initial information such as map information, departure information, and destination information of the autonomous driving device.
  • Paths through which the autonomous driving device can move are obtained by inputting the initial information to the path distribution estimation model.
  • The path distribution estimation model is trained to output a path distribution corresponding to the paths based on the initial information.

Potential Applications

This technology could be applied in autonomous vehicles, smart parking systems, and urban transportation management.

Problems Solved

This technology solves the problem of efficient and autonomous parking planning and control in real-time.

Benefits

The benefits of this technology include improved parking efficiency, reduced traffic congestion, and enhanced user experience in autonomous driving.

Potential Commercial Applications

Potential commercial applications of this technology include autonomous vehicle manufacturers, parking management companies, and smart city infrastructure developers.

Possible Prior Art

One possible prior art could be the use of path planning algorithms in autonomous vehicles or smart parking systems.

Unanswered Questions

How does the path distribution estimation model handle dynamic obstacles in real-time parking scenarios?

The patent application does not provide specific details on how the path distribution estimation model adapts to dynamic obstacles in real-time parking situations.

What is the computational complexity of training and running the path distribution estimation model?

The patent application does not address the computational requirements or efficiency of the path distribution estimation model.


Original Abstract Submitted

a device and method with continuous real-time autonomous parking planning and control are disclosed. a method of training a path distribution estimation model includes: obtaining initial information including map information, departure information of an autonomous driving device, and destination information of the autonomous driving device; obtaining paths through which the autonomous driving device is movable by inputting the initial information to the path distribution estimation model which predicts the paths; and training the path distribution estimation model to output a path distribution corresponding to the paths based on the initial information.