Optimization method and system of vehicle collision early-warning and vehicle speed guidance

Abstract

The invention discloses an optimization method of vehicle collision early-warning and vehicle speed guidance. The method comprises: obtaining all target vehicle signals in a set range by a main vehicle, and forming a target signal list according to obtaining time; obtaining running status of the main vehicle in real time, and using a manner of GPS and DR combination navigation to optimize a running track and the running status of the main vehicle; using running status quantity of the main vehicle after filtering to estimate and optimize current road curvature; using the main vehicle and targetvehicles to calculate relative position relationships, and combining the road curvature to carry out judgment of relative lanes, running directions and orientations; classifying the target signals, and if a target is a vehicle, carrying out track-based prediction, and carrying out collision early-warning through calculating collision time and collision distance; if the target is a roadside unit,carrying out corresponding roadside-unit reminding and vehicle speed guidance; and obtaining an alarming information list of the target signals. Adoption of the technical solution for automatic driving has a very good auxiliary effect, provides more accurate early-warning information, and reduces driving risks.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to an optimization method and system for vehicle collision warning and vehicle speed guidance. Background technique [0002] Vehicle driving assistance systems, especially at complex traffic intersections, can provide targeted assistance and early warning, which can effectively improve traffic efficiency and avoid traffic accidents. At present, most of the vehicle driving assistance systems are based on sensor data such as cameras and radars to calculate the trajectory and driving status of the target, so as to provide collision warning and speed guidance. [0003] At present, the existing vehicle collision warning system has problems such as narrow warning range, limited number of targets, single warning scene, large restrictions on the road, and great influence by the weather; and most warning algorithms are only based on the instantaneous vehicle body. In addition, the ...

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Problems solved by technology

[0003] At present, the existing vehicle collision warning system has problems such as narrow warning range, limited number of targets, single warning scene, large restrictions on roads, and great influence by weather; and most warning algorithms are only based on instantaneous vehicle body information, rarely use historical track points, resulting in low accuracy, and most of the vehicle motion models are based on constant speed and constant heading models, which are only suitable for short-distance and short-term early warning

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