18332146. DEVICE AND METHOD WITH CONTINUOUS REAL-TIME AUTONOMOUS PARKING PLANNING AND CONTROL simplified abstract (Samsung Electronics Co., Ltd.)

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 18332146 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 to predict paths for an autonomous driving device based on initial information such as map data, departure and destination information.

  • The method involves obtaining initial information including map data, departure and destination information.
  • Paths for the autonomous driving device are predicted by inputting the initial information into a path distribution estimation model.
  • The path distribution estimation model is trained to output a path distribution corresponding to the predicted paths.

Potential Applications

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

Problems Solved

1. Efficient and autonomous parking planning and control. 2. Real-time path prediction for autonomous driving devices.

Benefits

1. Improved parking efficiency. 2. Enhanced autonomous driving capabilities. 3. Real-time path optimization.

Potential Commercial Applications

Optimizing parking spaces in urban areas, enhancing autonomous vehicle technology, and improving traffic flow in smart cities.

Possible Prior Art

There may be prior art related to path prediction models for autonomous vehicles and smart parking systems, but specific examples are not provided in the abstract.

=== What is the accuracy rate of the path distribution estimation model in predicting paths for autonomous driving devices? The abstract does not mention the accuracy rate of the path distribution estimation model in predicting paths for autonomous driving devices.

=== How does the device ensure real-time updates and adjustments to the predicted paths? The abstract does not detail how the device ensures real-time updates and adjustments to the predicted paths for autonomous driving devices.


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.