Intelligent vehicle driving map generation method and system fusing personalized driving style

Abstract

The invention discloses an intelligent vehicle driving map generation method fusing a personalized driving style. The method comprises the steps of obtaining position data, motion data, map data, road environment image data and point cloud data of a vehicle and driving style data of a driver; identifying a road target object based on the road environment image data and the point cloud data; carrying out coding processing on the vehicle and the target object based on the position data, the motion data, the road environment image data and the point cloud data, and carrying out coding processing on the driving style of the driver and the passenger based on the driving style data; obtaining a driving map based on the coded vehicle and target object information and the driving style information; and outputting a personalized driving decision based on a driving map and a global path plan generated from vehicle map data. The invention further discloses a system. According to the invention, through the mode of carrying out assignment coding on the vehicle and environment data, the data processing efficiency and the real-time performance are improved, and the driving experience is improved.

Description

technical field [0001] The invention belongs to the technical field of automatic driving, and specifically relates to a method and a system for generating a driving map of an intelligent vehicle that integrates personalized driving styles. Background technique [0002] Intelligent transportation system is an important technical means to alleviate traffic congestion, improve traffic safety, and improve traffic pollution. Among them, intelligent vehicle technology is one of the key technologies of intelligent transportation system, and environmental perception, intelligent decision-making and control execution technology are the key technologies of intelligent vehicle automatic driving. of the three core technologies. [0003] Currently, the map information used for environmental perception is only superimposing dynamic and static target information. In the existing research, some simply merge map information and real-time perception information, and some integrate the two in...

AI Technical Summary

Problems solved by technology

However, the amount of perceptual information is usually large, and the information dimension is large, so direct calculation will slow down the calculation speed, and the real-time performance is difficult to meet

[0004] Current research rarely considers driving style. Due to the lack of automatic driving style trusted and accepted by drivers and passengers, general-purpose driving decisions can easily lead to poor driving experience and reduce the acceptance of automatic driving by the general public.

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