US 12,269,371 B2
In-cabin detection framework
Simon P. Roberts, Celina, TX (US); Sergei I. Gage, Dallas, TX (US); Yang Ding, Montreal (CA); Christopher J. Macpherson, Plano, TX (US); Michael R. Kushnerik, The Colony, TX (US); Naohiro J. Matsumura, Dallas, TX (US); Cory M. Frank, Frisco, TX (US); Jessica May, Danbury, TX (US); and Matthew J. Everett, Norton Shores, MI (US)
Assigned to TOYOTA CONNECTED NORTH AMERICA, INC., Plano, TX (US); TOYOTA MOTOR NORTH AMERICA, INC., Plano, TX (US); and TOYOT JIDOSHA KABUSHIKI KAISHA, Aichi-Ken (JP)
Filed by TOYOTA CONNECTED NORTH AMERICA, INC., Plano, TX (US); and TOYOTA MOTOR NORTH AMERICA, INC., Plano, TX (US)
Filed on May 30, 2022, as Appl. No. 17/827,959.
Claims priority of provisional application 63/346,993, filed on May 30, 2022.
Prior Publication US 2023/0406158 A1, Dec. 21, 2023
Int. Cl. G08B 21/00 (2006.01); B60N 2/00 (2006.01); G01S 13/89 (2006.01); B60R 25/31 (2013.01)
CPC B60N 2/002 (2013.01) [G01S 13/89 (2013.01); B60R 25/31 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A method, comprising:
scanning a cabin of a vehicle via a scanning device to generate a scan, wherein the scan includes image data of a spatial region inside the vehicle and outside the vehicle proximate at least one vehicle door;
transmitting the scan from the scanning device to a hardware system within the vehicle via a controller area network (CAN) bus of the vehicle;
executing a neural network on the scan via the hardware system within the vehicle, wherein the execution of the neural network simultaneously determines a per seat prediction of presence of life and a per seat prediction of whether the presence of life is a child, and outputs a Boolean indicator of the per seat prediction of presence of life and another Boolean indicator of the per seat prediction of whether a child is present;
transmitting information about the least one seat and the at least one footwell per seat prediction of presence of life and the per seat prediction of whether the presence of life is a child to a communication module of the vehicle via the CAN bus; and
wirelessly communicating the information about the per seat prediction of presence of life and the per seat prediction of whether the presence of life is a child to a mobile device via the communication module.