Detecting available parking spaces
US10304335B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 12, 2016 |
| Grant date | May 28, 2019 |
| Priority date | — |
| Expiry date | Jul 10, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S2013/93271
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
The present invention extends to methods, systems, and computer program products for detecting available parking spaces in a parking environment. Radar systems are utilized to gather data about a parking lot environment. The radar data is provided to a neural network model as an input. Algorithms employing neural networks can be trained to recognize parked vehicles and conflicting data regarding debris, shopping carts, street lamps, traffic signs, pedestrians, etc. The neural network model processes the radar data to estimate parking space boundaries and to approximate the parking space boundaries as splines. The neural network model outputs spline estimations to a vehicle computer system. The vehicle computer system utilizes the spline estimates to detect available parking spaces. The spline estimates are updated as the vehicle navigates the parking environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.