US 12,110,009 B2
Parking space detection method and system
Lihao Wang, Troy, MI (US); Antonyo Musabini, Troy, MI (US); Christel Leonet, Troy, MI (US); and Rachid Benmokhtar, Troy, MI (US)
Assigned to VALEO SCHALTER UND SENSOREN GMBH, Bietigheim-Bissingen (DE)
Filed by Valeo Schalter und Sensoren GmbH, Bietigheim-Bissingen (DE)
Filed on Jan. 6, 2023, as Appl. No. 18/151,069.
Prior Publication US 2024/0227785 A1, Jul. 11, 2024
Int. Cl. B60W 30/06 (2006.01); B60R 1/22 (2022.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01)
CPC B60W 30/06 (2013.01) [B60R 1/22 (2022.01); G06V 10/82 (2022.01); G06V 20/586 (2022.01); B60R 2300/607 (2013.01); B60R 2300/806 (2013.01); B60W 2420/403 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A method, comprising:
obtaining a first image from a first camera disposed on a vehicle;
generating a birds-eye view (BEV) image using the first image;
processing, with a machine-learned model, the BEV image to produce parking slot prediction data, wherein the parking slot prediction data comprises:
a first center coordinate for a first available parking slot;
a first corner displacement data, comprising:
a first relative coordinate pair that locates a first corner relative to the first center coordinate; and
a second relative coordinate pair that locates a second corner relative to the first center coordinate;
a first parking slot confidence;
determining a first location of the first available parking slot using the parking slot prediction data; and
parking the vehicle in the first available parking slot when the first parking slot confidence meets a threshold.