Control method for improving measurement efficiency of one-dimensional laser radar

Abstract

The invention discloses a control method for improving the measurement efficiency of a one-dimensional laser radar. The control method comprises the following steps: S1, determining the control quantity of the laser radar; the control quantity is used for controlling the angular velocity of the laser radar; s2, judging whether the scanning angle of the laser radar is within a target angle range or not, and if yes, controlling the laser radar through the control quantity to enable the angular velocity of the laser radar to be a set angular velocity omega L; and if not, the laser radar is controlled through the control quantity, so that the angular velocity of the laser radar is the set angular velocity omega H. According to the invention, high-density acquisition of scene information in a specific angle range can be realized, and the measurement efficiency of the laser radar is fully exerted.

Description

technical field [0001] The invention relates to the application field of laser radar, in particular to a control method for improving the measurement efficiency of one-dimensional laser radar. Background technique [0002] At present, most one-dimensional lidars operate at a constant speed, uniformly collecting obstacle information within a 360-degree range. However, in practical applications, it is often only necessary to pay attention to the obstacle information within a certain part of the angular range. This uniform collection method will inevitably waste radar resources in areas that do not need to be focused on. At the same time, there may be data in areas that should be focused on The collection is not rich enough, and it is difficult to give full play to the performance of lidar. Contents of the invention [0003] In view of this, the purpose of the present invention is to overcome the defects in the prior art and provide a control method for improving the measure...

AI Technical Summary

Problems solved by technology

However, in practical applications, it is often only necessary to pay attention to the obstacle information within a certain part of the angular range. This uniform collection method will inevitably waste radar resources in areas that do not need to be focused on. At the same time, there may be data in areas that should be focused on. The collection is not rich enough, and it is difficult to give full play to the performance of the lidar

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