	US 12,080,015 B2
	Method(s) and system(s) for vehicular cargo management
Naveen Sangeneni, Fremont, CA (US); Amruta Kulkarni, Santa Clara, CA (US); Kevin Abas, Fremont, CA (US); Reddy Avula Srinivas, Fremont, CA (US); Sreenjoy Chatterjee, San Francisco, CA (US); Andrew Kaneshiro, Los Altos, CA (US); Jyh-Yung Lin, Santa Clara, CA (US); and Gagandeep Singh, San Jose, CA (US)
Assigned to Mercedes-Benz Group AG, Stuttgart (DE)
Appl. No. 17/271,905
Filed by Mercedes-Benz Group AG, Stuttgart (DE)
PCT Filed Jun. 27, 2019, PCT No. PCT/EP2019/067253 § 371(c)(1), (2) Date Feb. 26, 2021, PCT Pub. No. WO2020/043350, PCT Pub. Date Mar. 5, 2020.
Claims priority of application No. 10 2018 006 765.4 (DE), filed on Aug. 27, 2018.
Prior Publication US 2021/0319582 A1, Oct. 14, 2021
Int. Cl. G06T 7/62 (2017.01); G06Q 10/08 (2023.01); G06Q 10/087 (2023.01); G06T 7/50 (2017.01); G06T 7/70 (2017.01)

CPC G06T 7/62 (2017.01) [G06Q 10/08 (2013.01); G06Q 10/087 (2013.01); G06T 7/50 (2017.01); G06T 7/70 (2017.01); G06T 2207/10028 (2013.01); G06T 2207/30268 (2013.01)]

10 Claims

1. A method of determining volume of a cargo space of a vehicle in real-time, comprising the steps of:

generating an initial spatial model of the cargo space using images from a plurality of cameras including cameras for capturing at least one of depth and color, positioned in and around the cargo space, wherein the images from each camera of the plurality of cameras are stitched together into a dense point cloud (DPC) in real-time;

generating an updated spatial model of the cargo space using the images from the plurality of cameras, upon detection of items being loaded or unloaded into the cargo space, wherein the updated spatial model includes changes to the cargo space;

estimating a volume of loaded items in the updated spatial model; and

determining a remaining volume of the cargo space based on the estimated volume of the loaded items and a total volume of the cargo space, wherein the total volume is calculated based on the initial spatial model.