17957145. PARKING ASSIST SYSTEM simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)

From WikiPatents
Jump to navigation Jump to search

PARKING ASSIST SYSTEM

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor(s)

Emrah Akin Sisbot of Menlo Park CA (US)

Seyhan Ucar of Mountain View CA (US)

Takamasa Higuchi of Mountain View CA (US)

Yongkang Liu of Mountain View CA (US)

Kentaro Oguchi of Mountain View CA (US)

PARKING ASSIST SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 17957145 titled 'PARKING ASSIST SYSTEM

Simplified Explanation

The abstract describes a parking assist system for a vehicle that can detect parking spaces, identify parking parameters, and determine the suitability of a parking space based on various parameters, including predicting post-parking actions of the vehicle's occupants.

  • The system includes a processor and memory storing instructions for detecting parking spaces, identifying parking parameters, and determining the suitability of a parking space.
  • Parking parameters may include a point-of-interest associated with the parking space, which can help predict post-parking actions of the vehicle's occupants.
  • The system can assist drivers in finding suitable parking spaces based on various parameters, improving the overall parking experience.

Potential Applications

The technology can be applied in:

  • Automotive industry for developing advanced parking assist systems.
  • Smart city initiatives to improve parking management and efficiency.

Problems Solved

  • Difficulty in finding suitable parking spaces.
  • Uncertainty about post-parking actions of vehicle occupants.

Benefits

  • Enhanced parking experience for drivers.
  • Improved parking efficiency and management.
  • Predictive capabilities for post-parking actions.

Potential Commercial Applications

"Smart Parking Solutions: Enhancing Parking Efficiency with Predictive Technology"

Possible Prior Art

There are existing parking assist systems in vehicles that help drivers park more easily, but the predictive capabilities for post-parking actions may be a novel feature in this technology.

Unanswered Questions

How does the system predict post-parking actions accurately?

The abstract does not provide details on the specific methods or algorithms used for predicting post-parking actions.

What types of parking parameters are considered for determining the suitability of a parking space?

The abstract mentions a point-of-interest as one of the parking parameters, but it is unclear what other parameters are taken into account in the system.


Original Abstract Submitted

A parking assist system for a vehicle includes a processor and a memory communicably coupled to the processor. The memory stores instructions that when executed by the processor cause the processor to detect a parking space for a vehicle. The instructions further cause the processor to identify one or more parking parameters related to parking the vehicle in the parking space. The parking parameters include a point-of-interest associated with the parking space. The instructions further cause the processor to determine a suitability of the parking space based on the one or more parking parameters. Determining the suitability of the parking space includes predicting a point-of-interest-related action to be performed by an occupant after parking the vehicle in the parking space.