Automatic driving vehicle state evaluation and early warning method based on vehicle infrastructure cooperation
A technology of autonomous driving and vehicle-road coordination, applied in traffic control systems of road vehicles, neural learning methods, combustion engines, etc. Accurate, complex driving scenes, and wide sampling coverage
Pending Publication Date: 2022-05-27
中智行(上海)交通科技有限公司 +1
View PDF9 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
At present, only the driving data collected by the vehicle end is used. Compared with the data collected by the road end, the collected data is single and not universal. The accuracy cannot be guaranteed, and it is greatly affected by factors such as road surface quality and slope; comfort evaluation standards are mostly subjective evaluations, and there is a lack of objective and reference evaluation systems; emergency safety measures will only appear when the vehicle is in an abnormal state, and this environmental adaptability
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0056] A vehicle-road coordination-based state assessment and early warning method for an autonomous driving vehicle provided by this embodiment specifically includes:
[0057] 1. Data collection based on vehicle-road collaboration technology
[0058] like figure 1 ,
[0059] (1) For the road end side, collect the driving data of autonomous vehicles and non-autonomous vehicles passing through the road section through the perception system (lidar, camera, millimeter wave radar, etc.) of the roadside unit of the road section (including the driving data in the global coordinate system). Vehicle coordinate point position, longitudinal speed and acceleration, lateral speed and acceleration, vehicle heading angle, road curvature, turning radius, etc.), and upload the driving data to the cloud platform through the roadside roadside unit network layer.
[0060] (2) For the vehicle end side, the autonomous vehicle is driven by the driver, and the vehicle driving data is collected wit...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses an automatic driving vehicle state evaluation and early warning method based on vehicle-road cooperation, and relates to the technical field of road traffic, the evaluation comprises two parts: passenger somatosensory comfort state evaluation in the whole driving process of an automatic driving vehicle, and passenger and vehicle safety state evaluation in the whole driving process of the automatic driving vehicle. The method comprises the following steps: collecting driving data of an automatic driving vehicle and a non-automatic driving vehicle through a road end, fusing the driving data collected by an automatic driving vehicle end, carrying out data processing and feature extraction, and establishing an objective evaluation standard for the somatosensory comfort of an automatic driving vehicle passenger, which can be used as a state constraint of path planning; through the learning and training of a large amount of data, the abnormal behavior of the automatic driving vehicle can be predicted online, and when the vehicle is predicted to be in an unsafe state, early warning is performed to a vehicle safety officer or a remote monitoring center, and the vehicle is taken over and separated from the unsafe state in time.
Description
technical field [0001] The present invention relates to the technical field of road traffic, in particular to a state evaluation and early warning method of an automatic driving vehicle based on vehicle-road collaboration. Background technique [0002] The self-driving vehicle state assessment includes: 1. The occupant's somatosensory comfort state evaluation during the entire process of the automatic driving vehicle; 2. The safety state evaluation of the occupants and the vehicle during the entire process of the automatic driving. At present, only the driving data is collected at the vehicle end. Compared with the data collected at the road end, the collected data is single and not universal, and the small amount of data is not conducive to the extraction of data features; the comfort evaluation relies on the established vehicle comfort prediction model. The accuracy cannot be guaranteed, and is greatly affected by factors such as road surface quality and slope; the comfort...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/04G06N3/04G06N3/08
CPCG08G1/0125G08G1/0116G08G1/0108G08G1/04G06N3/08G06N3/04Y02T10/40
Inventor 张光肖刘亚龙王劲
Owner 中智行(上海)交通科技有限公司