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1.
公开(公告)号:US20240302179A1
公开(公告)日:2024-09-12
申请号:US18181038
申请日:2023-03-09
Applicant: GM Global Technology Operations LLC
Inventor: Brent Navin Roger Bacchus , Guangyu Zou , Bo Yu
IPC: G01C21/00
CPC classification number: G01C21/3811 , G01C21/3819 , G01C21/3848 , G01C21/3881
Abstract: A map updating system for a vehicle includes one or more input devices. The input device generates an input signal associated with data indicative of multiple landmark points relative to multiple road semantic features. The system further includes a computer having one or more processors that receive the input signal. The computer further includes a non-transitory computer readable storage medium for storing instructions. The processor is programmed to build a local map including the road semantic features and the landmark points. The processor is further programmed to determine a radius of road curvature associated with each road semantic feature and compare the radius of road curvature to a maximum radius of curvature threshold. The processor is further programmed to transmit an update signal to a cloud server, in response the processor determining that the radius of road curvature is less than the maximum radius of curvature threshold.
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公开(公告)号:US20250139807A1
公开(公告)日:2025-05-01
申请号:US18499466
申请日:2023-11-01
Applicant: GM Global Technology Operations LLC
Inventor: Guangyu Zou , Ismail Hamieh , Mohsen Khalili , Xiaoyang Liu
Abstract: A system for detecting sensor position change (DCPC) on movable vehicle components includes two or more sensors on at least one of the movable vehicle components. The sensors detect optical information within a distinct field of view (FOV) about an environment surrounding the vehicle. The distinct FOV of each sensor at least partially overlaps with an FOV of at least one other sensor. The system includes controllers that execute an application for DCPC. The DCPC application acquires overlapping optical information from the sensors, computes a conditional correspondence probability distribution for feature points in the overlapping optical information, computes a normalized joint entropy of the feature points, determines that the sensor is in a position manageable by the DCPC, continuously monitors positions of each of the sensors, selectively dynamically aligns the sensors, and ensures that the sensors are calibrated for vehicle perception tasks including advanced driver assistance system (ADAS) functions.
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