US 12,327,471 B2
Vehicle AI computing system (VACS) for autonomous driving
Bin Ran, Fitchburg, WI (US); Zhiyu Wang, Fitchburg, WI (US); Renfei Wu, Fitchburg, WI (US); Junfeng Jiang, Fitchburg, WI (US); Yang Cheng, Middleton, WI (US); Keshu Wu, Madison, WI (US); Yifan Yao, Madison, WI (US); Tianyi Chen, Madison, WI (US); Haotian Shi, Madison, WI (US); Shen Li, Madison, WI (US); Kunsong Shi, Madison, WI (US); Zhen Zhang, Madison, WI (US); Fan Ding, Madison, WI (US); Huachun Tan, Madison, WI (US); Yuankai Wu, Madison, WI (US); Shuoxuan Dong, Basking Ridge, NJ (US); Linhui Ye, Madison, WI (US); and Xiaotian Li, Madison, WI (US)
Assigned to CAVH LLC, Fitchburg, WI (US)
Filed by CAVH LLC, Fitchburg, WI (US)
Filed on Jun. 13, 2024, as Appl. No. 18/742,133.
Application 18/742,133 is a continuation of application No. 17/840,237, filed on Jun. 14, 2022, granted, now 12,020,563, issued on Jun. 25, 2024.
Application 17/840,237 is a continuation of application No. 17/741,903, filed on May 11, 2022, granted, now 11,881,101, issued on Jan. 23, 2024.
Application 17/741,903 is a continuation of application No. 16/776,846, filed on Jan. 30, 2020, granted, now 11,430,328, issued on Aug. 30, 2022.
Application 16/776,846 is a continuation of application No. 16/135,916, filed on Sep. 19, 2018, granted, now 10,692,365, issued on Jun. 23, 2020.
Application 16/135,916 is a continuation in part of application No. 15/628,331, filed on Jun. 20, 2017, granted, now 10,380,886, issued on Aug. 13, 2019.
Claims priority of provisional application 62/627,005, filed on Feb. 6, 2018.
Claims priority of provisional application 62/507,453, filed on May 17, 2017.
Prior Publication US 2024/0331529 A1, Oct. 3, 2024
Int. Cl. G08G 1/01 (2006.01); G08G 1/0967 (2006.01); G08G 1/0968 (2006.01); G08G 1/16 (2006.01)
CPC G08G 1/0116 (2013.01) [G08G 1/0145 (2013.01); G08G 1/096725 (2013.01); G08G 1/0968 (2013.01); G08G 1/164 (2013.01); G08G 1/166 (2013.01); G08G 1/167 (2013.01)] 39 Claims
OG exemplary drawing
 
1. A vehicle AI computing system (VACS) for autonomous driving onboard computing, said system comprising an onboard unit (OBU) comprising:
a) a sensing module that receives driving environment information from autonomous vehicle (AV) sensors;
b) a communication module that communicates with a roadside unit (RSU) and/or a cloud; and receives vehicle-specific information from the RSU and/or the cloud;
c) a data processing module that processes the driving environment information and the vehicle-specific information; and generates guidance information and targeted instructions for an individual AV; and
d) a vehicle control module that receives the guidance information and targeted instructions and facilitates control of the AV using the guidance information and targeted instructions,
wherein an autonomous vehicle (AV) comprises said VACS, and
wherein the OBU fuses AV sensor data, roadside sensor data, and cloud data to provide fused data; and processes the fused data using a learning based model, statistical model, and empirical model.