US 12,263,857 B2
Method for assisting safer driving and electronic device
Chih-Te Lu, New Taipei (TW); Chieh Lee, New Taipei (TW); and Chin-Pin Kuo, New Taipei (TW)
Assigned to HON HAI PRECISION INDUSTRY CO., LTD., New Taipei (TW)
Filed by HON HAI PRECISION INDUSTRY CO., LTD., New Taipei (TW)
Filed on Jan. 12, 2023, as Appl. No. 18/096,476.
Claims priority of application No. 202210714371.0 (CN), filed on Jun. 22, 2022.
Prior Publication US 2023/0415760 A1, Dec. 28, 2023
Int. Cl. B60W 50/14 (2020.01); B60W 40/072 (2012.01); B60W 40/105 (2012.01); G06T 7/50 (2017.01); G06V 10/25 (2022.01); G06V 10/56 (2022.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01)
CPC B60W 50/14 (2013.01) [B60W 40/072 (2013.01); B60W 40/105 (2013.01); G06T 7/50 (2017.01); G06V 10/25 (2022.01); G06V 10/56 (2022.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01); B60W 2050/143 (2013.01); B60W 2420/403 (2013.01); B60W 2520/06 (2013.01); B60W 2540/18 (2013.01); B60W 2552/30 (2020.02); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30261 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for assisting safer driving comprising:
obtaining RGB images of a scene in front of a vehicle;
processing the RGB images based on a trained depth estimation model, and obtaining depth images corresponding to the RGB images;
converting the depth images to three-dimensional (3D) point cloud maps;
calculating a curvature of a curved driving path of the vehicle based on a driving state of the vehicle;
determining 3D regions of interest of the vehicle from the 3D point cloud maps according to a size of the vehicle and the curvature;
determining whether the 3D regions of interest have obstacles;
when the 3D regions of interest having no obstacles, controlling the vehicle to continue driving; and
when the 3D regions of interest having at least one obstacle, controlling the vehicle to issue an alarm.